At a Glance
- Tasks: Lead model development for innovative financial solutions and optimise machine learning models.
- Company: Join a leading bank's strategic analytics team focused on efficiency and transformation.
- Benefits: Competitive salary, career growth opportunities, and a collaborative global team environment.
- Other info: Dynamic role with a focus on mentoring and developing future leaders in the field.
- Why this job: Make a real impact in anti-financial crime with cutting-edge technology and data science.
- Qualifications: Advanced degree in a quantitative field and 7+ years in analytical model development.
The predicted salary is between 80000 - 100000 € per year.
Requirements
- Advanced degree (Master’s or PhD) in a quantitative discipline (e.g., Mathematics, Physics, Engineering, Computer Science)
- 7+ years’ experience developing analytical or machine learning models in financial services (ideally Anti-Financial Crime / Screening)
- Experience building Natural Language Processing (NLP)/Machine Learning (ML)/Artificial Intelligence (AI) pipelines, including feature engineering, model training, evaluation and monitoring
- Experience designing evaluation frameworks for LLM use cases (e.g., human-in-the-loop, calibration, guardrails, auditability)
- Experience with hyperparameter tuning at scale and experimentation frameworks
- Strong technical experience with SQL and Python; significant experience with Spark for large-scale data processing
- Excellent interpersonal skills with demonstrable collaborative leadership capabilities (coaching, mentoring, guiding, delivery ownership and stakeholder engagement) and strong standards for documentation and controls in a regulated environment
What the job involves
- Corporate Title Vice President Group Strategic Analytics (GSA) is part of Group Chief Operation Office (GCOO) which acts as the bridge between the Bank’s businesses and infrastructure functions to help deliver the efficiency, control, and transformation goals of the Bank
- You will work within the wider GSA Control Strats team and lead model development across NS and TS. This includes supporting incumbent models and designing, building and deploying new state‑of‑the‑art (SOTA) models
- You will bring strong data science and modelling expertise, a delivery‑focused mindset, and a structured, detail‑oriented approach to solving complex tasks.
- You will also drive model tuning, contribute to regulatory and governance deliverables, and collaborate with cross‑functional teams including Anti‑Financial Crime, Operations and Technology
- You will work in a collaborative global team and focus on people development and career growth
- Lead the model development team, setting priorities, standards and ways of working
- Understand and own end‑to‑end delivery of new SOTA challenger models
- Tuning and optimising strategies for incumbent models
- Design and govern the use of Large Language Models (LLM)-as‑judge approaches within alert handling processes (evaluation framework, quality controls, bias/robustness testing and auditability)
- Document model logic, assumptions, limitations and test outcomes in line with Model Governance and validation standards
- Partner together with stakeholders to respond to internal audit queries and manage remediation actions and findings
Model Development Team Lead (Name List Screening & Transaction Screening, Model Strats) employer: Deepstreamtech
As a leading employer in the financial services sector, we offer an exceptional work environment that fosters innovation and collaboration. Our commitment to employee growth is evident through our focus on professional development and mentorship, ensuring that you can thrive in your career while working on cutting-edge model development projects. Located in a dynamic city, we provide a vibrant workplace culture that values diversity and encourages a healthy work-life balance, making us an ideal choice for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Model Development Team Lead (Name List Screening & Transaction Screening, Model Strats)
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your experience with NLP, ML, and AI. We want to see how you can lead model development and tackle complex tasks!
✨Tip Number 3
Show off your collaborative spirit! Highlight your interpersonal skills and how you've mentored others. We love seeing candidates who can engage with cross-functional teams.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we’re always looking for talent like yours!
We think you need these skills to ace Model Development Team Lead (Name List Screening & Transaction Screening, Model Strats)
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your advanced degree and relevant experience in your application. We want to see how your background in quantitative disciplines and your 7+ years in model development can shine through!
Tailor Your Application:Don’t just send a generic CV! Tailor your application to reflect the specific requirements of the Model Development Team Lead role. Mention your experience with NLP, ML, and AI pipelines, and how you’ve tackled similar challenges in the past.
Be Clear and Concise:When writing your application, clarity is key. Use straightforward language to explain your experience with SQL, Python, and Spark. We appreciate a well-structured application that gets straight to the point!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity with StudySmarter!
How to prepare for a job interview at Deepstreamtech
✨Know Your Models Inside Out
Make sure you can discuss your experience with analytical and machine learning models in detail. Be prepared to explain the methodologies you've used, especially in the context of Anti-Financial Crime. Highlight specific projects where you’ve built or optimised models, and be ready to dive into the technical aspects.
✨Showcase Your Leadership Skills
As a Model Development Team Lead, demonstrating your leadership capabilities is crucial. Share examples of how you've coached or mentored team members, and discuss your approach to stakeholder engagement. This will show that you not only have the technical skills but also the interpersonal skills needed for the role.
✨Prepare for Technical Questions
Brush up on your SQL and Python skills, as well as your experience with Spark. Expect technical questions that assess your understanding of hyperparameter tuning and model evaluation frameworks. Practising coding problems or discussing past experiences can help you feel more confident during this part of the interview.
✨Understand the Regulatory Landscape
Familiarise yourself with the regulatory requirements related to model governance and validation standards. Be ready to discuss how you’ve ensured compliance in previous roles, and think about how you would approach documentation and controls in a regulated environment. This knowledge will demonstrate your readiness to handle the responsibilities of the position.
