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Deutsche Bank

Quantitative Developer, Trading and Client Controls (TaCC)

London
Posted 15 days ago
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Job Title

Quantitative Developer, Trading and Client Controls (TaCC)

Location

London


Company Title & Operation

Vice President, Group Strategic Analytics (GSA) The GSA functions as part of the Group Chief Operating Office (COO), acting as the bridge between the Bank’s businesses and infrastructure functions. The mission is to drive the Bank’s goals in efficiency, control, and transformation.

The Trading and Client Controls (TaCC) team operates within GSA, providing a global remit across all products, businesses, and regions in the Investment and Corporate Bank. The team focuses on developing bespoke anomaly detection models, catering to complex and evolving subject domains and datasets. Your role will involve:

  • Driving the development of core models and controls to combat fraud.
  • Ownership of a problem set, managing stakeholders, and expanding a high-quality codebase.

What We’ll Offer You

We prioritise a healthy, engaged, and well-supported workforce, infusing development and wellbeing into every facet of the workplace. Below are the key aspects of our compensation and benefits package:

  • Hybrid Working Model: A flexible work arrangement enabling eligible employees to work remotely while designing a sustainable schedule.
  • Competitive Salary & Non-Contributory Pension: Ensuring financial security and long-term growth.
  • Holidays & Benefits: 30 days’ paid leave plus bank holidays, with the option to purchase additional days.
  • Life Assurance & Private Healthcare: Covers both you and your family.
  • Flexible Benefits: Includes retail discounts, bike or cybercash schemes, gym access, and tailored tax-free benefits.
  • Corporate Social Responsibility (CSR): An opportunity to contribute to a diverse range of CSR initiatives, supported by 2 days of volunteering leave per year.

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I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Key Responsibilities

  • Model Implementation: Own end-to-end design and productionisation—balancing rigorous coding best practices, testing frameworks, and meticulous documentation.
  • Technical Integration: Lead the migration and synergy of new, complex data systems into existing pipelines and model ecosystems while ensuring seamless scalability.
  • Performance Monitoring: Develop real-time/periodic reporting metrics, refining the precision of anomaly detection through data vigilance and evolution.
  • Stakeholder Engagement: Act as a facilitator between teams, unpacking business requirements and translating them into impactful technical solutions, including custom anomaly detection methodologies and model enhancements.
  • Knowledge Diffusion: Mentor and clarify usage, fostering a collaborative environment across technical landscapes.

Requirements

Applicants should demonstrate the following expertise and experience:

  • Practice experience in data science/quantitative model development within a business-critical environment.
  • Proven data integration expertise—including understanding of ETL/ELT pipelines and data quality frameworks, particularly with interrogating new data sources.
  • Bachelor’s degree or equivalent (or relevant industry experience).
  • Proficiency in Python or closely related Anaconda-based frameworks (such as Scikit-learn, Pandas, and Numpy).
  • Financial markets/ML risk knowledge, with emphasis on algorithm-based fraud detection and compliance practices (e.g., KYC, observable anomalies, project execution).
  • Capacity to coinfluence and collaborate effectively, paired with the ability to simplify and communicate complex concepts to non-technical stakeholders.

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Support You’ll Receive

We’re dedicated to lifelong career growth. Our commitment includes:

  • Targeted Training to refine your skill arsenal.
  • Customisable Hybrid Models for balancing work and personal priorities.
  • Coaching from domain specialists for singular support pathways.
  • Curated flexible benefits to enhance living and working quality.

Additionally, we embrace diversity and inclusion, ensuring accommodations (e.g., assistive devices—screen readers, transpose keyboards, adaptive hearing support) for employees with disabilities. If required, please contact adjustmentsconcierge@db.com.


About Us

Deutsche Bank is the world’s pre-eminent German bank, rooted deeply in Europe yet with an expansive global network. Over 150 years, its workforce has cultivated unparalleled expertise to helm clients through a complex landscape—from Corporate to Private Banking, Investment Banking, and Asset Management (via DWS).

Our Values Include:

  • Responsible commercial stewardship.
  • Visionary initiative.
  • Collaborative contributors.
  • A shared cultural ethos celebrating diverse ambitions.

In the UK, we’ve been recognised as The Times Top 50 Employers for Gender Equality 2025 (six consecutive years) and have won a Gold Award from Stonewall 2024. Our open culture welcomes global talent (across 60 countries & 150 nationalities), offering equal opportunities and inclusivity for all.


For further insights, visit: Deutsche Bank Careers

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Skills

Python
Anaconda
Scikit-learn
Pandas
Numpy
Data Science
Model Development
ETL
ELT
Data Quality Assurance
Anomaly Detection
Machine Learning
Financial Markets
Risk Management
KYC
Project Management

Location

London, England, United Kingdom

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