Senior Data Scientist - Global Finance

at ABN AMRO
📍 Amsterdam, Netherlands
EUR 70,200-100,200 per year
SENIOR
✅ Hybrid

🕙 36-40 hours per week

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Python @ 6 SQL @ 6 Statistics @ 4 CI/CD @ 4 Machine Learning @ 4 MLOps @ 4 Data Science @ 4 Leadership @ 4 Team Management @ 4 Communication @ 4 Git @ 6 Helm @ 4 Mathematics @ 4 Mentoring @ 4 Reporting @ 4 LLM @ 4 Compliance @ 4

Details

ABN AMRO Clearing N.V. (AACB) is building a dedicated RegTech (Regulatory Technology) team within our core Data Science team, and we are looking for a hands-on Lead Data Scientist to take the helm. This new team of data scientists will focus exclusively on developing data science solutions for regulatory reporting. Do you want to work in a data science team that focuses on the financial markets and the clearing industry in an international environment? With our global network of offices in ten countries and close connections to all major exchanges, you'll have the chance to work with leading trading firms across four continents. We welcome applications from individuals eager to contribute to our dynamic team.

Responsibilities

  • Be the owner of the end-to-end lifecycle of data science solutions, from research and prototyping to deployment in our production environments.
  • Engage with senior management, compliance officers, regulatory experts and other key stakeholders to ensure data science initiatives align with business goals and regulatory standards.
  • Lead and mentor a team of data scientists.
  • Define and maintain the team’s roadmap, making sure projects align with priorities and long-term goals.
  • Design the technical architecture for data science solutions, ensuring scalability, performance and reliability.
  • Implement MLOps best practices, including CI/CD pipelines and model versioning, while developing monitoring frameworks to detect bias, drift, and data corruption in production models.
  • Continuously optimize models to improve accuracy, efficiency and scalability.
  • Introduce GenAI/LLM tools to support the RegTech vision.
  • Translate regulatory guidelines (EMIR, MIFID and SFTR) to data science solutions while keeping up to date with data science developments in the regulatory space.

Positioning

You'll be joining a vibrant group of people in the Global Finance Data Science team in Amsterdam. Reporting to the Global CFO, you'll collaborate closely with regional finance teams and other departments, bringing fresh perspectives and energy to our innovative projects.

Working environment

ABN AMRO Clearing is recognised as a global leading provider of integrated solutions in clearing, execution, custody, financing and risk management. With 10 offices globally, we are able to service clients on 160+ exchanges, MTFs and FX liquidity centres, processing over 20 million trades daily. ABN AMRO Clearing consistently ranks amongst the top 3 clearing firms on most relevant derivatives exchanges globally and enjoys market share of 20% or higher for many of the major exchanges on which it operates. Our service is tailored to the needs of Principal Trading groups, Brokers, Financial Institutions, Corporates active in the physical commodity value chain and of Hedge Funds that apply strategies in multiple asset classes.

Requirements / Your profile

  • MSc or PhD in a STEM field (e.g. Mathematics, Computer Science, Statistics, Engineering).
  • 6+ years of working experience in developing and deploying production-ready data science solutions.
  • Leadership and team management skills with experience in leading and mentoring a team of data scientists.
  • Excellent communication and interpersonal skills, with the ability to convey complex data insights to non-technical stakeholders.
  • Proficiency programming in Python, experience with Git (preferably Bitbucket) and SQL/PySpark.
  • Solid theoretical understanding of machine learning techniques, such as model training, retraining, and evaluation.
  • Experience with productionizing ML models according to MLOps principles (data drift, monitoring etc.).
  • Curiosity and motivation to work in the financial markets.
  • Knowledge about regulatory frameworks such as EMIR, MIFID and SFTR is a plus.
  • Authorized to work in the Netherlands.

Benefits / We offer

  • € 5.847 - € 8.353 pm (salary range shown on the vacancy).
  • An additional benefit budget of 11%, with which you can buy flexible terms of employment.
  • 25 holidays with the option to purchase extra days through the benefit budget.
  • A personal development budget of € 1,000 per year.
  • An annual public transport ticket for unlimited travel.
  • A good pension scheme.
  • A position that offers a lot of opportunities for professional development.
  • The ability to work flexibly (3 days at the Amsterdam Office).
  • Interesting work and challenging projects in a diverse and international environment.

Application process

  1. Apply online
  2. CV selection and feedback
  3. Job interview(s)
  4. Possible assessment
  5. Job offer
  6. Congratulations on your new job!
  7. Onboarding Desk

Other

  • This role focuses on RegTech/data science solutions for regulatory reporting and requires close collaboration with engineering, legal, compliance, regulatory and finance stakeholders.
  • Introducing GenAI/LLM tools and implementing MLOps best practices are part of the technical roadmap.