At a Glance
- Tasks: Lead a team to develop innovative models for Name List and Transaction Screening.
- Company: Join a leading financial services firm with a focus on analytics and technology.
- Benefits: Enjoy hybrid working, competitive salary, 30 days holiday, and flexible benefits.
- Other info: Diverse and inclusive workplace with excellent career growth opportunities.
- Why this job: Make a real impact in anti-financial crime with cutting-edge data science.
- Qualifications: Advanced degree in a quantitative field and 7+ years in model development.
The predicted salary is between 80000 - 100000 £ per year.
This role leads the model development across Name List Screening (NLS) and Transaction Screening (TS), supporting incumbents and designing and building new state‑of‑the‑art models. It requires strong data science, modelling expertise, and a delivery‑focused mindset.
Key Responsibilities
- Lead the model development team, setting priorities, standards and ways of working
- Own end‑to‑end delivery of new SOTA challenger models
- Tune and optimise 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 with stakeholders to respond to internal audit queries and manage remediation actions and findings
Skills and Experience
- 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 NLP/ML/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
Benefits
- Hybrid Working – eligible employees can work remotely part of the time
- Competitive salary and non‑contributory pension
- 30 days’ holiday plus bank holidays, with the option to purchase additional days
- Life Assurance and Private Healthcare for you and your family
- Flexible benefits including Retail Discounts, a Bike4Work scheme and Gym benefits
- Opportunity to support a wide ranging CSR programme + 2 days’ volunteering leave per year
How we’ll support you
- Flexible working to assist you balance your personal priorities
- A range of flexible benefits that you can tailor to suit your needs
- We value diversity and as an equal opportunities’ employer, we make reasonable adjustments for those with a disability, including the provision of assistive equipment if required (e.g., screen readers, assistive hearing devices, adapted keyboards)
- We welcome applications from all people and promote a positive, fair and inclusive work environment. If you have a disability, health condition, or require adjustments during the application process, we encourage you to contact our Adjustments Concierge.
Model Development Team Lead for Name List Screening (NLS) & Transaction Screening (TS) - Model [...] in London employer: Deutsche Bank AG
As a Model Development Team Lead in London, you will thrive in a dynamic corporate environment that champions innovation and collaboration. Our commitment to employee growth is evident through our flexible working arrangements, competitive benefits, and a strong focus on diversity and inclusion, ensuring that every team member can contribute meaningfully while enjoying a healthy work-life balance. Join us to lead cutting-edge model development initiatives and make a significant impact in the financial services sector.
StudySmarter Expert Advice🤫
We think this is how you could land Model Development Team Lead for Name List Screening (NLS) & Transaction Screening (TS) - Model [...] in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working in model development or financial services. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your previous projects, especially those involving NLP, ML, or AI. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Ace the interview by being ready to discuss your experience with model governance and validation standards. Be prepared to share specific examples of how you've tackled challenges in your past roles.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Model Development Team Lead for Name List Screening (NLS) & Transaction Screening (TS) - Model [...] in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experience mentioned in the job description. Highlight your data science and modelling expertise, especially in financial services, to show us you’re the right fit for the role.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about model development and how your background aligns with our needs. Be specific about your experience with NLP/ML/AI pipelines and any leadership roles you've held.
Showcase Your Technical Skills:Don’t forget to mention your proficiency in SQL and Python, as well as your experience with Spark. We want to see how you’ve applied these skills in real-world scenarios, so include relevant projects or achievements.
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 don’t miss out on any important updates during the process.
How to prepare for a job interview at Deutsche Bank AG
✨Know Your Models Inside Out
Make sure you’re well-versed in the latest developments in model development, especially around Name List Screening and Transaction Screening. Brush up on your knowledge of state-of-the-art models and be ready to discuss how you would lead a team in developing these models.
✨Showcase Your Technical Skills
Be prepared to demonstrate your expertise in SQL, Python, and Spark during the interview. You might be asked to solve a problem or explain your approach to building NLP/ML/AI pipelines, so having specific examples from your past experience will really help you stand out.
✨Highlight Your Leadership Experience
This role requires strong leadership skills, so think about times when you’ve successfully led a team or project. Be ready to share examples of how you’ve coached or mentored others, set priorities, and ensured delivery ownership in a collaborative environment.
✨Prepare for Stakeholder Engagement Scenarios
Since you'll be partnering with stakeholders, it’s crucial to show that you can effectively communicate complex ideas. Prepare to discuss how you’ve managed internal audit queries or remediation actions in the past, and think about how you would approach these situations in this new role.
