Name List Screening (NLS) and Transaction Screening (TS) Model Strats in London
Name List Screening (NLS) and Transaction Screening (TS) Model Strats

Name List Screening (NLS) and Transaction Screening (TS) Model Strats in London

London Full-Time 36000 - 60000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Support model development and testing for financial crime screening initiatives.
  • Company: Join Deutsche Bank, a leading global bank with a commitment to diversity and inclusion.
  • Benefits: Enjoy hybrid working, competitive salary, 30 days holiday, and flexible benefits.
  • Why this job: Make a real impact in combating financial crime while developing your skills in a dynamic environment.
  • Qualifications: Advanced degree in a quantitative field and experience in data analytics or model development.
  • Other info: Collaborate with cross-functional teams and contribute to innovative solutions.

The predicted salary is between 36000 - 60000 £ per year.

Location: London

Corporate Title: Associate

Group Strategic Analytics (GSA) is part of Group Chief Operation Office (COO) which acts as the bridge between the Bank’s business and infrastructure functions to help deliver the efficiency, control, and transformation goals of the Bank. You will work within the GSA team as part of a global model strategy and deployment of NLS and TS. You will be familiar with financial crime processes, the most recent data science methodologies and have a delivery-centric attitude, strong analytical skills, and a detail-oriented approach to breaking down complex matters into more understandable details. You will work on key model initiatives within a cross-regional team and contribute directly to Deutsche Bank’s risk mitigation efforts against financial crime. You will support model development efforts, model effectiveness testing & tuning, support regulatory deliverables, and help 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:

  • Support the design and implementation of the model framework for NLS and TS including coverage, data, model development and optimisation.
  • Document model inputs (clients, transactions, lists), model logic and liaise with Compliance and Model Risk Management teams to ensure screening systems and scenarios adhere to all model governance standards.
  • Perform model testing & tuning including all performance monitoring activities for NLS.
  • Ensure detailed metrics & reporting are developed to provide transparency and maintain effectiveness of NLS screening models.
  • Participate in research projects on innovative solutions to make detection models more pro-active.
  • Support all examinations and reviews performed by regulators, monitors, and internal audit.

Your skills and experience:

  • Advanced degree (Master’s or PhD) in a quantitative discipline (Mathematics, Computer Science, Data Science, Physics or Statistics).
  • Proficiency in designing, implementing (python, spark, cloud environments) and deploying quantitative models in a large financial institution, preferably in Front Office.
  • Experience in data analytics or screening model development.
  • Subject Matter Expertise and industry knowledge of key financial crime risks, screening systems and associated data, including lists and screening platforms provided by industry vendors.
  • Experience of utilizing Machine Learning and Artificial Intelligence in financial crime scenarios.
  • Experience with data and the ability to clearly articulate data requirements as they relate to NLS and TS.
  • Excellent interpersonal skills with the ability to collaborate and partner with various teams, and to be able to explain complex concepts effectively.

How we’ll support you:

  • Training and development to help you excel in your career.
  • Flexible working to assist you balance your personal priorities.
  • Coaching and support from experts in your team.
  • A culture of continuous learning to aid progression.
  • 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 have been named for six consecutive years. Additionally, we have been awarded a Gold Award from Stonewall and named in their 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 (NLS) and Transaction Screening (TS) Model Strats in London 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 hybrid working, competitive benefits including generous holiday allowances, and a culture of continuous learning, employees are empowered to thrive both professionally and personally. The bank's focus on diversity and inclusion, alongside opportunities for meaningful contributions to financial crime risk mitigation, makes it an attractive place for those seeking a rewarding career.
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Contact Detail:

Deutsche Bank Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Name List Screening (NLS) and Transaction Screening (TS) Model Strats in London

✨Tip Number 1

Network like a pro! Reach out to people in the industry, especially those working at Deutsche Bank. A friendly chat can open doors and give you insights that might just help you stand out.

✨Tip Number 2

Prepare for interviews by brushing up on your knowledge of financial crime processes and data science methodologies. We want to see your analytical skills shine, so practice explaining complex concepts in simple terms.

✨Tip Number 3

Show off your passion for model development and optimisation! Be ready to discuss any relevant projects or experiences that highlight your expertise in designing and deploying quantitative models.

✨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 serious about joining our team at Deutsche Bank.

We think you need these skills to ace Name List Screening (NLS) and Transaction Screening (TS) Model Strats in London

Analytical Skills
Attention to Detail
Data Science Methodologies
Model Development
Model Effectiveness Testing
Regulatory Compliance
Data Analytics
Machine Learning
Artificial Intelligence
Interpersonal Skills
Collaboration
Python
Spark
Cloud Environments
Financial Crime Risk Knowledge

Some tips for your application 🫡

Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the NLS and TS role. Highlight your analytical skills and any relevant experience in financial crime processes 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 makes you a perfect fit for our team at Deutsche Bank.

Showcase Your Technical Skills: Since we're looking for someone with proficiency in Python, Spark, and cloud environments, be sure to mention any projects or experiences where you've used these technologies. We love seeing practical examples!

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets to us quickly and efficiently. Plus, you’ll find all the info you need about the role there!

How to prepare for a job interview at Deutsche Bank

✨Know Your Models

Make sure you’re well-versed in the latest data science methodologies and financial crime processes. Brush up on your knowledge of NLS and TS models, as well as any relevant machine learning techniques. Being able to discuss these topics confidently will show that you're not just familiar with the theory but can apply it practically.

✨Showcase Your Analytical Skills

Prepare to demonstrate your analytical prowess during the interview. Think of examples where you've broken down complex problems into manageable parts, especially in a financial context. Use the STAR method (Situation, Task, Action, Result) to structure your responses and highlight your detail-oriented approach.

✨Collaborate Like a Pro

Since this role involves working with cross-functional teams, be ready to discuss your experience collaborating with others. Share specific instances where you’ve partnered with compliance, data engineering, or technology teams. Highlight your interpersonal skills and how you effectively communicate complex concepts to different audiences.

✨Prepare for Regulatory Questions

Given the importance of regulatory deliverables in this role, anticipate questions related to compliance and model governance standards. Familiarise yourself with the key regulations affecting financial crime and be prepared to discuss how you would ensure adherence to these standards in your work.

Name List Screening (NLS) and Transaction Screening (TS) Model Strats in London
Deutsche Bank
Location: London
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  • Name List Screening (NLS) and Transaction Screening (TS) Model Strats in London

    London
    Full-Time
    36000 - 60000 £ / year (est.)
  • D

    Deutsche Bank

    50-100
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