Internship Data Scientist - Control

Finance | Amsterdam, Noord-Holland, Netherlands
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Job description

Who are we

WEBB Traders is a fast-growing, global proprietary trading company, driven by data and technology. We act as a market maker, using our own capital to trade on global stock and derivatives exchanges. By leveraging a large network of interdealer brokers and the latest advancements in electronic trading technology, we add liquidity to the financial markets specialised in cash equity and derivatives.

Since our very first trade in 2009, WEBB’s headquarters have been based in Amsterdam, nowadays supported by a strong presence in Paris. With our 70 employees of over 25 different nationalities, we are united in our great ambition to grow WEBB into a global leader in arbitrage and liquidity.

Join us to accelerate your career in the unique trading culture of openness, community, enjoyment, and boundary-free entrepreneurship.


Ready to take the first step toward your data science career? 

WEBB Traders is looking for a final-year master’s student to join our Control Department as a data scientist intern, with a focus on finance and risk. You’ll play a key role in elevating our risk and finance functions while transforming how we use data to drive financial insights and decision-making. Collaborating on a variety of projects, you’ll develop world-class risk tools that identify weaknesses and opportunities—helping keep the company safe while turning controls into a strategic advantage. 

Apply now and seize this unique opportunity to turn data into impact!

Your role

  • Support trading, risk and our management team in making better decisions, balancing risk and reward.  

  • Analyse past incidents to prevent market, operational, and algo losses.  

  • Build risk and finance tooling and dashboards.  

  • Streamline and automate financial and risk processes.  

  • Visualise key risk and finance indicators for management and regulators.  

  • Monitor continuous improvements and send automated alerts to e.g. trading, risk and our management team.  

  • Model exposure, PnL, regulatory capital and margin requirements real time to guide strategic decisions.

Requirements

Who are you?

  • You are in the final stage of your Master’s studies in e.g. computer science, quantitative finance, mathematics, physics, and you have strong analytical skills.

  • You have a strong interest in equities, derivatives, commodities, algorithmic trading, high frequency trading, market making, IT and risk management.

  • You are eager to drive change in a fast-paced environment.

  • Your mindset is on innovation and continuous improvement.

  • Your personality is characterised as down-to-earth, steadfast, firm, and your integrity is beyond reproach.

  • You have a compelling communication style and enjoy working closely with various stakeholders (traders, engineers, management board, clearing members).

  • You show ownership to drive key firm-wide risk and finance projects from initiation to production.

  • You have strong Python and SQL skills.

  • You are fluent in English, both spoken and written.


What we offer

  • Challenge yourself. Be part of the dynamic work environment and grow along with us.

  • Team up. A great office vibe in the heart of Amsterdam

  • Keep the spirit up. Fun activities with your teammates on a regular basis and Friday drinks

  • Treat yourself. Enjoy healthy and delicious meals delivered by Alma Sustainable Catering

  • Stay fit. Sports facility access via ClassPass

  • It’s on us. Travel costs reimbursement if you don’t own a student public transport card

  • And finally… an attractive compensation package! (Paid internship)

Application process

  1. Apply on our WEBBsite!

  2. Share a short motivation for joining WEBB and why you think you are a great fit for this role

  3. Have a video chat with us (unless you are around, you may drop by for a coffee)  

  4. Nail the technical challenge   

  5. Visit our office for the interviews and a drink  

  6. Accept our offer!

Important notes: This internship is focused on hands-on experience in finance, risk and data science and cannot be used for a master’s thesis. Please also note that visa sponsorship is not available for this role.

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