Quantitative Engineer, Trading and Client Controls (TaCC)

0840 Deutsche Bank Aktiengesellschaft, Filiale London; Kegworth; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A leading global bank is seeking a Quantitative Engineer to lead the development of anomaly detection models and data management systems. Located in the UK, this role involves driving model implementation, data integration, and collaborating with stakeholders. Candidates should possess strong analytical, programming, and communication skills, with experience in data science and a bachelor's degree. The position offers a competitive salary, hybrid work options, and a range of benefits including healthcare and generous holiday entitlement.

Benefits

Hybrid Working

Competitive salary

30 days’ holiday plus bank holidays

Life Assurance and Private Healthcare

Flexible benefits

Qualifications

• Experience with ETL/ELT processes and data quality assurance.
• Ability to drive model implementation from prototype to production.
• Experience engaging with key stakeholders.

Responsibilities

• Drive model implementation following best practices.
• Integrate and migrate new data source systems.
• Develop and evolve platform reporting statistics.

Skills

Data science or model development experience

Data integration

Programming skills in Python

Understanding financial markets

Interpersonal skills

Education

Bachelor’s degree or equivalent

Tools

Python/Anaconda

Scikit-learn

Pandas

Numpy

Job description

Job Title: Quantitative Engineer, Trading and Client Controls (TaCC)

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.

The TaCC team sits within Deutsche Bank's GSA. With group-wide responsibility for model development, GSA takes a cross-business and cross-functional approach to solving complex quantitative encounters. The TaCC team has a global remit, across all products, businesses and regions in the Investment and Corporate Bank, to develop bespoke anomaly detection models. Our subject matter and datasets are complex, continually evolving.

You will be responsible for driving the development of our core models and controls to help identify fraud. As part of this, you will take ownership of a problem set, manage stakeholders, and drive growth of a high-quality code base.

What we’ll offer you

A healthy, engaged and well-supported workforce are better equipped to do their best work and, more importantly, enjoy their lives inside and outside the workplace. That’s why we are committed to providing an environment with your development and wellbeing at its centre.

You can expect:

• 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

• Drive model implementation (from prototype to production), following rigorous coding, testing, and documentation best practice
• Drive the technical integration and migration of new, complex data source systems into our existing data pipelines and model ecosystems
• Develop and evolve platform reporting statistics / data to monitor ongoing model success
• Engage key stakeholders to understand needs and requirements
• Provide guidance on usage and translating needs for changes / new models into technical proposals

Your skills and experience

• Relevant experience conducting data science or model development in a business setting
• Demonstrated experience with data integration, Extract, Transform Load (ETL) / Extract Load Transform (ELT) processes, and data quality assurance, especially involving new data source systems
• Educated to bachelor’s degree level or equivalent qualification / relevant work experience
• Excellent programming skills, predominantly across the Python / Anaconda suite (Scikit-learn, Pandas, Numpy)
• Understanding financial markets, risk (for example, Know Your Client (KYC), anomaly detection / Machine Learning, project management)
• 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 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 (for example, 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 award 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 on to discuss how we can best support you. Alternatively, you can share your phone number, and a member of the team will be happy to call you to talk through your specific requirements.

We strive for a positive, inclusive environment 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.