WO Vacatures in Hollandsche Rading

Over de vacature

Overview

In this role you will own end-to-end operational processes for the trading desk, building scalable automation and applying AI-driven workflows to improve efficiency. You'll collaborate with traders and engineers to deliver cross-team initiatives that enhance reliability and scalability of positions, bookings, and reference data. The role sits at the intersection of traders, developers, and application engineers, enabling better market operations and stability.

Arbeidsvoorwaarden / Benefits

• performance-based bonus
• global team exposure
• training opportunities
• health insurance discounts
• fully paid commuting expenses
• office perks (meals, coffee, massages)

Verantwoordelijkheden

• Own end-to-end operational processes (corporate actions, expiries, early exercises, onboarding new underlyings)
• Build and maintain validation, reconciliation and monitoring for positions, bookings and reference data
• Deliver automation and tooling in Python to remove manual work and scale coverage
• Apply AI and agentic workflows to operational problems
• Drive larger improvement projects, sometimes delivering them directly and other times representing trading on cross-team initiatives
• Coordinate with Application Engineers on incidents and system upgrades
• Participate in an on-call rota

Belangrijkste vereisten

• Graduate or up to 2 years of experience

• STEM degree preferred ( Mathematics, Physics, Engineering or Computer Science )

• Strong analytical mindset and problem decomposition

• Solid Python skills

• Curiosity about AI tooling and applying LLMs or agentic workflows

• Good communication and collaboration with multiple stakeholders

• Fluent in English

• Interest in financial markets

• Strong communication

• Collaborative mindset

• Curiosity about AI and automation

• Python

• AI tooling and LLMs

• Automation at scale

Over de vacature

Summary

This is a fantastic opportunity to work in the Amsterdam headquarters of one of the world's leading proprietary trading firms. With a company culture that is competitive yet collaborative, working in small, exceptionally talented teams, they build cutting-edge innovative technology solutions for their ultra-low-latency trading system.

They're now looking for talented C++/Python engineers to join the team responsible for the full stack of applications required to run the trading business.

Sitting on the trading floor, you'll work closely with traders and researchers to understand their needs and design effective solutions. There is very little red tape, and a rapid feedback loop on the software you build. Activities range from developing ultra-low-latency exchange protocol encoders/decoders, to writing & fine-tuning automated trading strategies, and providing the traders with user interfaces that give them better information and control.

This role would suit someone who relishes the challenges that come with an extremely fast-paced environment and can hit the ground running, making a tangible impact from day one.

Requirements

• Expert-level knowledge of C++ and/or Python is a must-have
• A successful track record as a software engineer (e.g. an active github repository for graduates; and/or years of experience working in the field for more senior roles)
• An entrepreneurial mindset and exposure to/interest in the financial industry
• Strong degree in Computer Science or IT Engineering (or similar) from a top-tier university

Rewards and Incentives

• Incredible salary + profit-sharing structure
• Truly collaborative culture, working with the smartest minds in the industry
• Direct business impact with short feedback loop
• Benefits include: 25 days' vacation, charitable match opportunities & fully-paid first-class travel

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Contact
To apply for this role, or for further information, please contact:

Maia Ellis

Over de vacature

We are looking for a Quantitative Researcher to join a team focused on the development of fully automated systematic trading strategies across global equity and multi-asset markets.

The role sits at the intersection of research and engineering, with a strong emphasis on generating alpha signals, building predictive models, and translating research ideas into live trading strategies. You will be involved in the full lifecycle of strategy development, from initial hypothesis generation through backtesting, implementation, and ongoing performance refinement.

Key Responsibilities

1. Research and design predictive signals for systematic trading strategies.
2. Develop and test quantitative models using large-scale financial datasets.
3. Apply statistical and machine learning techniques to identify market inefficiencies.
4. Collaborate with engineers and researchers to implement strategies into production systems.
5. Monitor and analyse live strategy performance, iterating to improve returns and robustness.
6. Contribute to research infrastructure and tools that support scalable strategy development.
7. Take ownership of research projects with clear focus on PnL impact and real-world performance.

Requirements

1. Degree in a highly quantitative subject such as Mathematics, Statistics, Physics, Computer Science, Engineering, or similar.
2. Strong grounding in probability, statistics, and machine learning methods.
3. Excellent programming ability in Python, C++, or Java, with experience working on real datasets.
4. Demonstrated interest in systematic trading, quantitative finance, or algorithmic modelling.
5. Ability to work independently while collaborating effectively in a high-performance team environment.
6. Strong analytical mindset with a focus on practical, data-driven results.

Preferred Experience

1. Previous internship or work experience in quantitative research, systematic trading, data science, or related fields.
2. Experience building and deploying predictive models in production or research environments.
3. Familiarity with noisy, non-stationary datasets and financial time series data.

Over de vacature

We are a proprietary trading firm operating at the intersection of mathematics, technology, and global financial markets. From our Amsterdam office, we design and run systematic, low-latency trading strategies across multiple asset classes and venues worldwide.

Our researchers come from highly competitive academic and technical backgrounds, and we actively engage with the international problem-solving community. Many members of our team have distinguished themselves in mathematical research, engineering, and elite competitions.

We are currently expanding our trading research group and are seeking a Junior Quantitative Researcher to work closely with an active trading desk. In this role, you will study market behaviour at fine time scales and help design, test, and refine strategies that operate in live markets.

You will be part of a high-performance research environment where ideas move rapidly from analysis to production. The trading teams are backed by a dedicated infrastructure and engineering group, allowing researchers to focus on modelling, experimentation, and performance improvement without operational friction.

We operate with minimal hierarchy and place strong emphasis on ownership, intellectual curiosity, and open discussion. If you enjoy working in a collaborative setting where original thinking is encouraged and results are visible quickly, this role may suit you well.

What you will work on

1. Building and refining systematic trading models using statistical analysis and modern machine learning approaches
2. Investigating market microstructure and short-horizon price dynamics to uncover new sources of edge
3. Partnering with software engineers and fellow researchers to translate research into efficient, production-ready strategies
4. Supporting the ongoing enhancement of existing strategies and contributing to the broader research roadmap

What we are looking for

1. Academic training in a quantitative field such as mathematics, physics, computer science, or a related discipline
2. Strong foundations in probability, statistics, and quantitative reasoning
3. A track record of high achievement in mathematical or programming competitions (e.g. IMO, IOI, ICPC, IMC, Code Jam, Hash Code, Hacker Cup, or similar)
4. Solid programming skills in Python
5. Prior exposure to C++ (professional experience not required)
6. Familiarity with machine learning techniques is a plus

Over de vacature

A leading international law firm is looking for a Senior Associate to join its Financial Markets practice in Amsterdam. The role suits a Dutch qualified lawyer with strong experience in banking, capital markets and financial regulation who wants to take on more responsibility in a busy, high-profile team. You'll advise banks, asset managers, trading venues, fintechs and corporates on complex cross-border transactions and regulatory matters.

Key Responsibilities

• Advise on a wide range of financial markets work, including debt and equity capital markets, structured finance, derivatives, securitisation and regulatory matters under Dutch and EU law (MiFID II, EMIR, CRR/CRD, MiCA, DORA, AIFMD and UCITS)
• Run day-to-day work on transactions from start to finish, working closely with Partners, Counsel and teams in other offices
• Give regulatory advice to clients dealing with the AFM and DNB, covering licensing, authorisations and ongoing compliance
• Draft, negotiate and review complex finance and capital markets documents
• Build strong client relationships and help with business development
• Supervise and mentor junior associates
• Track regulatory developments and contribute to client alerts, publications and market insights

Candidate Profile

• Dutch qualified lawyer with 4-7 years' experience, gained at a leading law firm
• Strong technical knowledge of financial markets, banking, capital markets or financial regulatory law
• Able to manage matters independently and be a trusted point of contact for clients
• Excellent drafting, negotiation and analytical skills
• Fluent in Dutch and English, both written and spoken
• Commercially minded and keen to help grow the practice
• Works well with others, both in the team and across international offices

Over de vacature

I'm working with a fast-growing proprietary trading firm in Amsterdam that is looking to hire an Experienced Quantitative Trader into its crypto HFT business.

The firm trades systematically across digital-asset markets using fully automated, high-frequency strategies and a low-latency trading platform.

This is a hands-on role sitting between quantitative research, live trading and strategy implementation . You'll be expected to develop new trading ideas, analyse market behaviour, improve existing algorithms and take increasing ownership of strategies running in production.

The role:-

You will:

• Research and develop systematic trading strategies

• Analyse high-frequency market and order-book data

• Identify new trading opportunities and market inefficiencies

• Backtest and validate quantitative ideas

• Monitor and optimise live strategies

• Investigate trading performance, execution and market behaviour

• Work closely with traders and engineers to move research into production

• Take meaningful ownership of strategies and trading decisions

What we're looking for

Essential:

• Master's or PhD in Mathematics, Physics, Computer Science, Engineering, Econometrics or another highly quantitative subject

• Strong Python programming skills

• Strong statistics, probability and quantitative modelling ability

• Experience working in a systematic / quantitative trading or research environment

• Ability to develop and test trading ideas using real market data

• Strong analytical and problem-solving ability

• Willingness to work on-site in Amsterdam

Particularly interesting backgrounds:

• HFT / electronic market making

• Short-horizon systematic trading

• Statistical arbitrage

• Market microstructure research

• Cross-venue / arbitrage strategies

• Automated market making

• Quantitative trading across equities, futures, options or crypto

Previous crypto experience is helpful but not essential. Strong systematic traders/researchers from other liquid asset classes are very relevant if they are interested in moving into digital assets.

Experience with Rust, C++ or low-latency systems is advantageous but not required for the Quant Trader role.

Environment

This is a small, highly technical trading team where researchers, traders and engineers work closely together. It will suit someone who wants more strategy ownership and faster research-to-production cycles than they might get at a larger platform.

Location: Amsterdam

Working model: On-site

Asset class: Crypto / Digital Assets

Strategy style: Systematic / High Frequency / Market Making

Over de vacature

Are you an commercially minded professional with a strong understanding of international trade, supplier management and market dynamics? Do you enjoy taking ownership, making strategic purchasing decisions and building long-term relationships with suppliers worldwide?
Our client is an internationally operating organisation within the organic food industry, specialising in the sourcing and supply of high-quality organic food ingredients. Due to continued growth, they are expanding their Category Management team and are looking for a Category Manager who can take full ownership of one or more product categories and drive commercial success.
This is not a traditional purchasing role. You will play a key role in shaping the purchasing strategy, responding to market developments and ensuring the right balance between profitability, product availability and supply chain continuity.
As Category Manager, you will have full responsibility for your assigned product categories, from developing the purchasing strategy to managing supplier relationships and delivering commercial results.Your responsibilities will include:

• Developing purchasing strategies: Define and implement purchasing strategies for your assigned categories, aligned with the company's commercial objectives.
• Managing international suppliers: Build and maintain strong, long-term relationships with suppliers across global markets.
• Negotiating and contracting: Lead commercial negotiations, agree on purchasing conditions and conclude supplier contracts.
• Monitoring market developments: Stay ahead of fluctuations in commodity prices, product availability, market trends and potential supply chain risks.
• Driving commercial performance: Take ownership of margins, revenue and the overall performance of your categories.
• Collaborating with Sales: Work closely with the Sales team to align purchasing decisions with customer demand and market opportunities.
• Ensuring continuity of supply: Anticipate potential challenges and make well-informed decisions to secure reliable product availability.
• Working cross-functionally: Collaborate with colleagues in Sales, Quality and Finance to ensure effective category management and sound commercial decision-making.

You will have a direct influence on which products the organisation purchases and sells, giving you the opportunity to make a tangible impact on its commercial performance. Requirements You will be responsible for one or more categories within a diverse organic food ingredients portfolio. These may include nuts, seeds, grains, rice and other food ingredients sourced from international markets.Given the global nature of the supply chain, market knowledge, commercial awareness and the ability to act quickly are essential. Timing, availability and pricing can change rapidly, making this a role for someone who enjoys working in a dynamic international trading environment.

• Experience: At least 5 years of experience as a Buyer, Trader or Category Manager, with international food ingredients trading experience.
• Industry knowledge: Trading experience, preferably within agriculture or agricultural commodities.
• Education: University degree or Master's degree.
• Commercial skills: Strong negotiation skills, commercial awareness and strategic thinking.
• Language: Fluent spoken and written English, another additional language is highly desirable
• Availability: Full-time, 5 days per week, working on-site in Barneveld.
• Travel: Willingness to travel internationally to visit suppliers approximately 6 times per year, with each trip lasting around one working week.

Benefits

• A market related salary between €4.000 - €7.000 per month
• 26 Vacation days per year & 8% holiday allowance
• Pension
• Travel reimbursement costs
• Yearly bonus, depending on company results and assessments
• This is a full-time position for 40 hours per week
• Full-time in the office position

Application Procedure If you are interested in this vacancy, you can apply by clicking on the button above. By clicking on apply, you agree to our privacy commitment and terms and conditions . Your application will be sent directly to the recruiter in charge. IMPORTANT: if you are not yet registered with Undutchables we kindly ask you to do so. Your information will be handled in the strictest confidence and your CV will not be sent to a company unless you have given prior permission. Curious about how the recruitment process works within Undutchables, click here to read more.

Over de vacature

Overview

In this role, you shape and accelerate PepsiCo's eCommerce agenda across Western Europe by building strong retailer partnerships and driving digital shelf performance. You'll lead JBPs and omnichannel initiatives to grow revenue, share, and visibility, while using data to translate insights into commercial actions. You'll partner with cross-functional teams to enable integrated omnichannel execution and optimize campaign ROI. This is a strategic, impact-driven opportunity to influence how digital commerce supports the company's consumer-centric mission.

Verantwoordelijkheden

• Negotiate and manage joint business plans with key partners and Belgian omnichannel retailers to hit revenue, volume, and market share targets
• Optimize the digital shelf and end-to-end customer journey; lead promotional strategies, online activations, and product launches
• Drive always-on demand generation in collaboration with Retail Media Networks, maximizing ROAS and share of voice
• Continuously monitor KPIs (revenue, share, perfect digital shelf, assortment) and translate data into actionable commercial initiatives
• Act as a digital champion to enable integrated omnichannel execution and strong business results

Belangrijkste vereisten

• Master's degree

• Excellent communication and presentation skills in English and Dutch

• 3-5 years of commercial experience, >2 years in eCommerce

• Solid digital trading experience with understanding of performance levers

• Strong internal and external partnership abilities; experience managing customer relationships

• Entrepreneurial mindset; ability to spot trends and opportunities

• Strong analytical and influencing skills

• Experience with platforms and systems such as digital shelf monitoring and Power BI

• communication

• presentation

• entrepreneurial mindset

• analytical thinking

• digital shelf monitoring

• Power BI

Over de vacature

Overview

In this role you will design and implement advanced risk models to strengthen the company's financial resilience. You will work with a dynamic, cross-functional team to develop and optimize analytical methods that support decision-making. You will analyze large datasets and apply statistical techniques to identify trends and risk drivers, while collaborating with stakeholders including the trading desk. You will contribute to scalable solutions using modern technology and stress-testing to inform risk mitigation. This is a hands-on opportunity to shape risk management with cutting-edge tools and real impact.

Verantwoordelijkheden

• Design and implement advanced Python risk models
• Optimize algorithms and statistical models for risk prediction
• Maintain and update codebases for performance and reliability
• Process and analyze large datasets using SQL
• Apply statistical techniques to interpret data and identify trends
• Perform stress testing and develop risk mitigation strategies
• Collaborate with cross-functional teams and the trading desk to gather data and understand strategies

Belangrijkste vereisten

• 3 - 5 years of relevant working experience with strong knowledge of Python and object-oriented programming

• Bachelor's or Master's degree in Mathematics, Computer Science, Physics, Engineering, Statistics, or a related field

• Experience in trading houses is a plus

• Strong analytical, quantitative, and problem-solving skills

• Excellent communication and teamwork abilities with excellent proficiency in English

• Proactive and adaptable to shifting priorities

• strong communication

• teamwork

• analytical mindset

• Python

• object-oriented programming

• SQL

Over de vacature

Wat ga je doen:

Please note: Proficiency in the Dutch language is required

Over deze rol

Als data scientist bij Trading & Optimization werk je op het snijvlak van energie en AI, op een plek waar je werk direct effect heeft op het energienet. Jouw forecast om 13:00:00 stuurt om 13:00:01 een handelsbeslissing aan, en de impact zie je realtime terug op onze dashboards. Je bouwt niet één geïsoleerd model, maar een samenhangend geheel waarin probabilistische forecasting, optimalisatie en aansturing elkaar versterken. De feedbackloop is kort en meetbaar, wat je vandaag bouwt heeft snel impact.

Je werkt in een team waar data scientists, engineers en traders dicht op elkaar zitten. Er is weinig hiërarchie en veel ruimte voor eigen initiatief, maar ook duidelijke verwachtingen over eigenaarschap: jouw modellen draaien live en je bent zelf de eerste die ingrijpt als er iets misgaat. AI-tooling zoals Claude Code is volledig ingeburgerd en versnelt je werk. Zo draagt het team direct bij aan plan Zero: elke MWh die we slimmer verhandelen of efficiënter in een batterij laden of ontladen, is een MWh die niet uit een gascentrale hoeft te komen.

Wat wij bieden:

Dit krijg je van ons

• Een salaris tussen €4.000 en €6.000 bruto per maand, afhankelijk van je ervaring en senioriteit.
• 25 vakantiedagen (met de mogelijkheid om er meer bij te kopen) en reiskostenvergoeding.
• Een Claude Code Max 20x abonnement als secundaire arbeidsvoorwaarde. Je zet het in voor je dagelijkse werk en mag het ook gebruiken voor side projects en persoonlijke ontwikkeling.
• Een persoonlijk keuzebudget voor sport, boodschappen of iets anders dat bij je past.
• Vanaf dag één investeren we in jouw groei met de Zonneplan Academy, goede tools en ruimte om te blijven leren. Je kunt doorgroeien naar senior data scientist met specialisatie in energiehandel, batterij-optimalisatie of forecasting.
• Een pragmatische, no-nonsense werksfeer waarin korte lijnen de norm zijn. Je zit dicht op traders en engineers.

Sollicitatieproces:

Zo ziet het proces eruit

• 1. Solliciteer op deze vacature.
• 2. Telefonisch kennismakingsgesprek met Samer (recruiter).
• 3. Eerste gesprek met Maarten (direct leidinggevende van de functie) en iemand van het team.
• 4. Persoonlijkheids- en capaciteitentest, gevolgd door een technische casus met iemand van het team waarin je laat zien hoe je van data naar een forecastingmodel en businessimpact komt.
• 5. Is er een match? Dan doen we je snel een aanbod.

Klaar om jouw modellen in te zetten voor plan Zero?

Solliciteer direct. Heb je vragen? Bel of mail met Samer, 088 020 3012, samer.elmokdad@zonneplan.nl.

Samen bouwen aan de energie van morgen

Bij Zonneplan werken we aan één duidelijk doel: een Nederland zonder fossiele energie. Wij noemen dat plan Zero. Geen uitstoot, geen verspilling, geen afhankelijkheid. Dat klinkt groot, en dat is het ook. Maar jouw werk als data scientist brengt dit doel meetbaar dichterbij. Elke MWh die jouw modellen slimmer verhandelen of efficiënter in een batterij laden of ontladen, is een MWh die niet uit een gascentrale hoeft te komen. Jouw forecasts zorgen ervoor dat klanten worden beloond voor hun groene stroom en dat het energienet stabieler en schoner wordt. Samen zetten we stappen naar een toekomst waar iedereen trots op kan zijn.

Vereisten:

Dit neem jij mee

• Je hebt minimaal 3 jaar ervaring als data scientist en sterke fundamenten in statistiek en machine learning, met aantoonbare ervaring in forecasting of time series.
• Je schrijft Python op productieniveau en hebt ervaring met het deployen en monitoren van modellen in een live omgeving.
• Je hebt ervaring met of affiniteit voor AI-ondersteund ontwikkelen, bijvoorbeeld met tools als Claude Code, GitHub Copilot of vergelijkbare AI-assistenten.
• Je denkt vanuit commerciële impact: je kunt de stap maken van een goed model naar meetbare euro's en onderbouwt je keuzes met data.
• Je neemt eigenaarschap over wat je bouwt. Jouw modellen draaien live en je bent de eerste die ingrijpt, optimaliseert of bijstuurt wanneer dat nodig is.
• Je bent nieuwsgierig en proactief: je volgt ontwikkelingen in AI en machine learning op de voet en vertaalt die naar concrete experimenten en kansen.
• Je spreekt de Nederlandse taal op professioneel niveau.

Over de vacature

Wat ga je doen:

Please note: Proficiency in the Dutch language is required

Over deze rol

Iedere dag verschuiven we bij Zonneplan honderden MWh duurzame energie van momenten van overaanbod naar momenten van tekort. Als Lead Data Scientist bepaal jij hoe we dat nog slimmer doen. Je bouwt zelf mee aan de voorspellings- en optimalisatiemodellen die onze energiehandel en asset-aansturing aansturen, en je zorgt dat die modellen betrouwbaar in productie draaien. Tegelijkertijd coach je een team van data scientists: je helpt ze groeien, bewaakt de kwaliteit van hun werk en zorgt dat kennis wordt gedeeld.

Je werkt in team Trading & Optimization, waar diepgaande domeinkennis en technische slagkracht samenkomen. Je krijgt verantwoordelijkheid en vrijheid om je eigen projecten te leiden, met korte lijnen naar software engineering, data engineering en trading. We sturen meer dan 200 megawatt aan batterijen, zonnepanelen en laadpalen aan, en doen dat steeds beter. Dat is niet alleen financieel interessant, het is precies wat de energietransitie nodig heeft. Door assets slimmer aan te sturen maken we ze aantrekkelijker om in te investeren. Dat creëert schaal, en schaal is uiteindelijk het enige wat echt klimaatimpact oplevert. Zo dragen we direct bij aan plan Zero.

Wat wij bieden:

Dit krijg je van ons

• Een salaris tussen €5.000 en €7.000 bruto per maand, afhankelijk van je kennis en ervaring.
• 25 vakantiedagen (met de mogelijkheid om er meer bij te kopen) en reiskostenvergoeding.
• Een persoonlijk keuzebudget voor sport, boodschappen of iets anders dat bij je past.
• Vanaf dag één investeren we in jouw groei met de Zonneplan Academy, goede tools en ruimte om te blijven leren.
• Een team waarin domeinkennis en technische diepgang samenkomen. Samen met de netbeheerders pakken we netcongestie aan, een probleem met grote maatschappelijke gevolgen waar woningbouw en hele regio's op vastlopen. Dat is waar je aan meewerkt.

Sollicitatieproces:

Zo ziet het proces eruit

• 1. Solliciteer op deze vacature.
• 2. Kennismakingsgesprek met Samer (recruiter).
• 3. Eerste gesprek met Maarten (direct leidinggevende van de functie) en iemand van het team.
• 4. Persoonlijkheids- en capaciteitentest, gevolgd door een technische casus met iemand van het team waarin je laat zien hoe je een model bouwt of een code review aanpakt.
• 5. Is er een match? Dan doen we je snel een aanbod.

Klaar om jouw data science expertise in te zetten voor plan Zero?

Solliciteer direct. Heb je vragen? Bel of mail met Samer, 088 020 3012, samer.elmokdad@zonneplan.nl.

Samen bouwen aan de energie van morgen

Bij Zonneplan werken we aan één duidelijk doel: een Nederland zonder fossiele energie. Wij noemen dat plan Zero. Geen uitstoot, geen verspilling, geen afhankelijkheid. Jouw werk als Lead Data Scientist raakt de kern van die ambitie. De modellen die jij bouwt en verbetert bepalen hoe slim we energie verschuiven, hoe efficiënt we assets aansturen en hoe snel we kunnen opschalen. Elke verbetering in een voorspelling of optimalisatie maakt duurzame energie betrouwbaarder en betaalbaarder voor honderdduizenden huishoudens. Samen zetten we stappen naar een toekomst waar iedereen trots op kan zijn.

Vereisten:

Dit neem jij mee

• Je hebt aantoonbare ervaring met het ontwikkelen, evalueren en in productie zetten van data science modellen, niet alleen met experimenteren.
• Je schrijft productieklare Python en bent gewend aan de volledige lifecycle: van experiment en ontwikkeling tot monitoring en verbetering.
• Je hebt ervaring met timeseries data en voorspellingsmodellen.
• Je hebt data scientists of een klein technisch team begeleid en weet hoe je mensen laat groeien door coaching, feedback en kennisdeling.
• Je denkt en werkt op WO-niveau en bent pragmatisch en resultaatgericht: hypotheses snel toetsen, kansloze richtingen tijdig afkappen en werkende oplossingen naar productie brengen.

Over de vacature

Overview

In this role you guide DRW's equities, ETF, derivatives and crypto risk posture from Amsterdam, partnering with traders and leadership to strengthen risk frameworks and controls. You will oversee pre-trade and real-time risk controls, monitor exposures, and challenge strategies to ensure disciplined risk-taking. The position supports a diverse set of asset classes and regulatory interfaces, contributing to a robust risk management culture. You will work at the intersection of trading, risk, and technology to drive proactive risk insight.

Verantwoordelijkheden

• Collaborate with traders and risk team to enhance risk frameworks, controls and tools
• Monitor trading activity, portfolio exposures and risk concentrations across DRW's businesses
• Challenge trading strategies, hedging approaches and key risk assumptions
• Oversee pre-trade and real-time risk controls for electronic and systematic trading
• Monitor options and derivatives exposures and perform stress testing and scenario analysis
• Ensure oversight of market, execution, liquidity and operational risks
• Interface with clearing firms, counterparties, exchanges and regulators on risk-related matters
• Escalate material risk issues to senior management and the DRW Risk Committee

Belangrijkste vereisten

• Significant experience (5+ years) in market, trading or portfolio risk management within a prop trading, market making, hedge fund or electronic trading setting

• Experience navigating EU regulatory framework for investment firms and interaction with European regulators

• Strong quantitative and analytical skills with Python, SQL, R or similar

• Deep understanding of options, volatility products and derivatives markets

• Experience overseeing risk for electronic, systematic or market-making trading including pre-trade risk controls

• Strong understanding of ETF market structure, factor models and execution risk

• Ability to challenge risk-taking decisions and influence stakeholders across trading and business teams

• Experience using AI/automation tools to improve analysis, monitoring and risk workflows

• Sound judgement and proactive, independent approach

• strong communication

• ability to influence stakeholders

• intellectual curiosity

• Python

• SQL

• R

Over de vacature

Overview

In this role you build and maintain pricing data systems used by traders and researchers across Optiver. You work at the intersection of pricing automation, quantitative research, and data platform engineering, delivering data products that enable new trading strategies. You will collaborate with traders, researchers, and platform teams to run live pricing pipelines and reproduce pricing over many years of history. This is a hands-on, impact-oriented role in a small multidisciplinary group that ships across C++/Python boundaries, with a strong emphasis on data quality, throughput, and long-term replay.

Arbeidsvoorwaarden / Benefits

• performance-based bonus
• global collaboration across 40+ countries
• 25 paid vacation days
• fully paid first-class commuting expenses
• training opportunities
• health insurance discounts

Verantwoordelijkheden

• Build and optimize live pricing systems that run continuously during the trading day
• Develop replay frameworks to reproduce production pricing calculations over years of historical data
• Integrate new external datasets into Optiver's pricing ecosystem to extend research capabilities
• Own production pipelines that compute and serve core pricing data
• Collaborate with traders, researchers and platform teams to deploy production systems
• Balance system throughput, schema evolution, and historical replay considerations
• Operate with an emphasis on monitoring, validation, and data quality

Belangrijkste vereisten

• Strong engineering fundamentals in computer science

• Proficiency in either C++ or Python and ability to work across the other language

• Experience designing distributed data systems and understanding throughput, schema evolution, and historical replay

• Exposure to data platforms (e.g., Delta Lake), cloud infrastructure, or large-scale data engineering is a plus

• Pragmatic delivery mindset and ability to navigate complex domains

• Collaborative with traders, researchers and other engineering teams

• Collaborative mindset

• Pragmatism

• Ability to turn ambiguous requirements into production systems

• C++

• Python

• ETL/ orchestration code

Over de vacature

Overview

In this role you drive centralized FX and interest-rate hedging as part of the Group Treasury, shaping how the company manages market risk. You'll translate market signals into actionable insights and collaborate with Finance, Tax, Legal, and regional teams to align hedging with global strategy. You'll lead trading activities, advise stakeholders, and contribute to Treasury improvements and platform enhancements. This position offers a high-impact, international environment with opportunities to influence risk management at scale.

Arbeidsvoorwaarden / Benefits

• Hybrid working
• 25 vacation days plus 9 ADV days
• 13th-month salary
• Competitive bonus scheme
• Company laptop and mobile phone
• Home-working equipment

Verantwoordelijkheden

• Own FX and interest rate hedging aligned with global risk strategy
• Monitor markets and translate macro developments into actionable insights
• Identify and mitigate FX and rate risks with tailored hedges
• Advise Treasury, Finance, business and capital markets stakeholders
• Build and manage relationships with international financial institutions
• Ensure competitive pricing and high-quality execution with market intelligence
• Partner with regional Treasury teams and central functions
• Contribute to strategic Treasury projects and trading process improvements
• Co-own maintenance and development of trading platforms with Treasury Tech/IT
• Support development of global Treasury capabilities through knowledge sharing

Belangrijkste vereisten

• Degree in Economics, Finance or related discipline; CFA qualification is an advantage

• Experience in FX and/or interest rate trading (banking sector preferred)

• Strong knowledge of financial markets, hedging strategies and global macro developments

• Hands-on experience with trading platforms (FXAll, 360T, Bloomberg, Reuters)

• Knowledge of SAP FSCM

• Strong analytical and problem-solving skills

• Excellent stakeholder management and communication abilities

• Fluency in English; additional languages advantageous

• Stakeholder management

• Communication abilities

• Analytical thinking

• FX and interest rate trading

• FXAll, 360T, Bloomberg, Reuters

• SAP FSCM

Over de vacature

Overview

In this market-building role, you lead commercial growth with European banks, positioning midcap ratings as a strategic tool for regulatory capital management. You will engage CFOs, CROs and capital-management leaders across Europe, shaping multi-stakeholder deals from first talks to signed agreements. Your work connects regulatory context to bank decision-making and informs product strategy through market feedback. This is a high-responsibility, growth-focused position at the frontier of European banking regulation.

Verantwoordelijkheden

• Design and execute a European bank-acquisition strategy centered on CRR3 capital-optimisation
• Open and close EU-wide bank partnerships with long cycles (6-18 months)
• Build and maintain C-suite relationships with CFOs, CROs and capital-management leaders
• Create bespoke business cases linking offering to each bank's regulatory and risk posture
• Represent the company in financial forums, regulatory committees, and European bodies; feed market intelligence to product
• Own pipeline, forecast, and commercial KPIs with direct reporting to CEO

Belangrijkste vereisten

• 5-8+ years in B2B business development, either in professional/tech services selling to banks or banking-coverage sales to other institutions

• Strong working knowledge of European prudential regulation (CRR/CRD, Basel III+, ESMA, EBA)

• Proven track record in consultative, high-value sales to banking institutions

• Existing network in European banking at CFO/CRO/capital-management level

• Fluent English (C1/native) and Spanish at executive level

• Willingness to travel frequently

• Degree in Business, Economics, Finance, Law or Engineering

• Ability to discuss technical topics with CROs without credibility loss

• Independent, objective and transparent mindset aligned with regulatory expectations

• consultative selling

• executive presence

• stakeholder management

• understanding of CRR/CRD and Basel III+ regulatory frameworks

• financial modelling and bespoke business-case development

• data-driven storytelling for bank executives