At a Glance
- Tasks: Lead model design and calibration for Name List and Transaction Screening systems.
- Company: Join Deutsche Bank, a leading global financial institution with a commitment to diversity.
- Benefits: Enjoy competitive salary, 30 days holiday, private healthcare, and flexible working options.
- Other info: Embrace a culture of inclusivity and support, with excellent career growth opportunities.
- Why this job: Make an impact in financial crime prevention while developing your skills in a collaborative environment.
- Qualifications: Advanced degree in a quantitative field and experience in model development or risk analytics.
The predicted salary is between 48000 - 72000 € per year.
Join to apply for a role at Deutsche Bank.
Location: London
Corporate Title: Vice President
Group Strategic Analytics (GSA) is part of Group Chief Operation Office (COO) 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 GSA Team and be responsible for overseeing a global model strategy and deployment of Name List Screening (NLS) and Transaction Screening (TS). You will work in a collaborative global team and focus on people development and career growth. You will manage model tuning and development efforts, support regulatory deliverables, and collaborate with cross-functional teams including Compliance, Data Engineering, and Technology.
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:
- Leading the design and calibration of models for NLS and TS systems, ensuring optimal detection quality and manageable alert volumes.
- Performing data exploration, feature engineering, and statistical analysis to inform tuning strategies.
- Documenting model logic and outcomes in line with governance and validation standards.
- Take ownership of specific model projects, from requirements gathering through to development, testing, and implementation.
- Supporting small teams or working groups for agile delivery, working together with developers, QA, and operations stakeholders.
- Monitoring model performance metrics and investigating anomalies in production environments.
Your skills and experience:
- Advanced degree (Master’s or PhD) in a quantitative discipline (Mathematics, Computer Science, Data Science, Physics or Statistics).
- Experience developing models in a financial services or FinCrime setting.
- Experience in model development, risk analytics, or quantitative compliance, preferably within financial crime or transaction monitoring.
- Preferred - Expertise utilizing quantitative scenarios in the context of AML transaction monitoring.
- Experience utilizing Machine Learning and Artificial Intelligence.
- Recent and relevant hands-on experience in SQL, Python for data analysis and model development.
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.
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 have been named The Times Top 50 Employers for Gender Equality 2025 for six consecutive years. Additionally, we have been awarded a Gold Award from Stonewall and named in their Top 100 Employers 2024 for our work supporting LGBTQ+ inclusion. If you have a disability, health condition, or require any adjustments during the application process, we encourage you to contact our Adjustments Concierge to discuss how we can best support you. 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.
Name List Screening and Transaction Screening Model Strats employer: Deutsche Bank
Deutsche Bank is an exceptional employer, offering a dynamic work environment in London that prioritises employee development and wellbeing. With a commitment to flexible working arrangements, competitive benefits including generous holiday allowances, and a strong focus on diversity and inclusion, employees are empowered to thrive both professionally and personally. The collaborative culture fosters growth opportunities within a global team, making it an ideal place for those seeking meaningful and rewarding careers in the financial services sector.
StudySmarter Expert Advice🤫
We think this is how you could land Name List Screening and Transaction Screening Model Strats
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Deutsche Bank on LinkedIn. A friendly chat can give us insider info about the team and the role, plus it shows our genuine interest.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Since this role involves model tuning and data analysis, we should be ready to discuss our experience with SQL and Python in detail.
✨Tip Number 3
Showcase our collaborative spirit! During interviews, highlight examples of how we've worked with cross-functional teams. This will resonate well, especially since the role involves working closely with Compliance and Technology.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can tailor our application to match the specific requirements of the role.
We think you need these skills to ace Name List Screening and Transaction Screening Model Strats
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that are relevant to the Name List Screening and Transaction Screening role. Highlight your quantitative background and any experience in financial crime or transaction monitoring to catch our eye!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background aligns with our needs. Be sure to mention your experience with model development and any relevant technical skills.
Showcase Your Technical Skills:Since we're looking for someone with hands-on experience in SQL and Python, make sure to include specific examples of projects where you've used these tools. We love seeing how you've applied your skills in real-world scenarios!
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. Plus, you’ll find all the details you need about the role and our company culture there!
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 used in Name List Screening and Transaction Screening. Be prepared to discuss your experience with model development, tuning strategies, and any relevant statistical analysis you've performed. This will show that you're not just familiar with the concepts but can also apply them effectively.
✨Showcase Your Technical Skills
Since the role requires hands-on experience with SQL and Python, be ready to demonstrate your proficiency in these areas. You might be asked to solve a problem or explain how you've used these tools in past projects. Brush up on your coding skills and think of specific examples where you've applied them in a financial services context.
✨Collaborative Mindset is Key
This position involves working closely with cross-functional teams, so highlight your teamwork skills. Prepare examples of how you've successfully collaborated with developers, QA, and operations stakeholders in previous roles. Emphasising your ability to work in an agile environment will resonate well with the interviewers.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios, especially related to financial crime and transaction monitoring. Think about challenges you've faced in model calibration or performance monitoring, and be ready to discuss how you approached these issues and what the outcomes were.
