At a Glance
- Tasks: Lead model development for financial crime screening and optimise existing models.
- Company: Deutsche Bank, a leading global bank with a commitment to diversity and inclusion.
- Benefits: Hybrid working, competitive salary, 30 days holiday, and flexible benefits.
- Other info: Join a collaborative global team focused on personal development and career growth.
- Why this job: Make a real impact in financial crime prevention while developing your career in a supportive environment.
- Qualifications: 7+ years in data science, strong skills in SQL, Python, and machine learning.
The predicted salary is between 80000 - 100000 £ per year.
Model Development Team Lead for Name List Screening (NLS) & Transaction Screening (TS) - Model Strats
Location: London
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 NLS 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.
What we’ll offer you:
- Hybrid Working - we understand that employee expectations and preferences are changing. We have implemented a model that enables eligible employees to work remotely for a part of their working time and reach a working pattern that works for them.
- 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.
- A range of flexible benefits including Retail Discounts, a Bike4Work scheme and Gym benefits.
- The opportunity to support a wide-ranging CSR programme + 2 days’ volunteering leave per year.
Your key responsibilities:
- 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.
Your skills and experience:
- 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 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.
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 such as the provision of assistive equipment if required (e.g. screen readers, assistive hearing devices, adapted keyboards).
About us:
Deutsche Bank is the leading German bank with strong European roots and a global network. Deutsche Bank in the UK is proud to be named in The Times Top 50 Employers for Gender Equality and has been awarded a Gold Award from Stonewall and named in their Top 100 Employers. We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.
Financial Crime Data Science Modelling Team Lead in London employer: Deutsche Bank
Contact Detail:
Deutsche Bank Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Financial Crime Data Science Modelling Team Lead in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your expertise in data science and modelling. Be ready to discuss your experience with NLP, ML, and AI pipelines, as well as how you've tackled complex problems in the past.
✨Tip Number 3
Showcase your leadership skills! When chatting with potential employers, highlight your experience in guiding teams and collaborating with cross-functional groups. They want to see that you can lead and inspire others while driving results.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're genuinely interested in joining our team at Deutsche Bank.
We think you need these skills to ace Financial Crime Data Science Modelling Team Lead 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 expertise in data science, model development, and any relevant financial crime experience to catch our eye!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for the Financial Crime Data Science Modelling Team Lead role. Share specific examples of your past achievements and how they relate to the responsibilities outlined in the job description.
Showcase Your Technical Skills: Since this role requires strong technical experience with SQL, Python, and machine learning, make sure to include any relevant projects or experiences that demonstrate your proficiency in these areas. We love seeing practical applications of your skills!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you're serious about joining our team at Deutsche Bank!
How to prepare for a job interview at Deutsche Bank
✨Know Your Models Inside Out
Make sure you have a solid understanding of the models you'll be working with, especially in the context of Name List Screening and Transaction Screening. Be prepared to discuss your experience with model development, tuning, and optimisation, as well as any specific challenges you've faced in the financial crime space.
✨Showcase Your Technical Skills
Highlight your expertise in SQL, Python, and Spark during the interview. Be ready to provide examples of how you've built NLP/ML pipelines and handled hyperparameter tuning at scale. This will demonstrate your technical prowess and ability to deliver results in a regulated environment.
✨Emphasise Collaboration and Leadership
Since this role involves leading a team and collaborating with various stakeholders, share examples of your leadership style and how you've successfully guided teams in the past. Discuss your approach to coaching and mentoring, as well as how you engage with cross-functional teams to achieve common goals.
✨Prepare for Regulatory Discussions
Given the importance of compliance in this role, be ready to talk about your experience with model governance and validation standards. Familiarise yourself with common regulatory frameworks and be prepared to discuss how you've managed audit queries and remediation actions in previous roles.