Corporate Banking Capital Strats

Best in class leave policy.

Gender neutral parental leaves

100% reimbursement under childcare assistance benefit (gender neutral)

Sponsorship for Industry relevant certifications and education

Employee Assistance Program for you and your family members

Comprehensive Hospitalization Insurance for you and your dependents

Accident and Term life Insurance

Complementary Health screening for 35 yrs. and above

Your key responsibilities

Develop analytics and forecasting tools for capital, expected credit loss, risk-weighted assets, and financial resource management

Understand business and regulatory requirements, decompose complex problems, and design practical end-to-end solutions

Build, enhance, test, and maintain scalable applications and analytical libraries using Python and C++

Source, analyze, and validate financial, risk, default, and recovery data; design tables and relational data structures where required

Support model development, calibration, scenario analysis, and production implementation with appropriate documentation and controls

Collaborate with global Front Office, Credit Risk Management, Finance, and Technology stakeholders to gather requirements, resolve issues, and deliver agreed outcomes

Contribute to automation, platform modernization, data-quality improvements, testing, release activities, and ongoing production support

Your skills and experience

Strong academic background in engineering, computer science, mathematics, statistics, physics, finance, economics, or another quantitative discipline

At least two years of hands-on Python development experience, including data analysis and production-quality coding

Working knowledge of C++ concepts, including object-oriented programming, pointers, and common data structures

Experience with relational databases and SQL; knowledge of database design using platforms such as Oracle or MySQL is preferred

Sound quantitative foundations in probability, linear algebra, statistics, and optimization; exposure to econometrics or data science is advantageous

Understanding of banking products, credit risk, regulatory capital, expected credit loss, or financial resource management is desirable

Skills That Will Help You Excel

Excellent written and spoken English, with the ability to explain quantitative and technical topics clearly to global stakeholders

Structured problem-solving skills and the ability to convert broad business questions into manageable analytical tasks

Strong attention to detail, ownership, and commitment to controls, testing, and data quality

Collaborative approach and confidence working across business, risk, finance, and technology teams in different locations

Ability to manage competing priorities, learn new products and methodologies, and deliver reliably in a fast-moving environment

Proven ability to leverage AI tools to enhance productivity, optimise workflows to solve business problems, while applying critical judgment to ensure responsible and ethical use of data and AI outputs.

How we’ll support you

Training and development to help you excel in your career.

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.

About us and our teams

Please visit our company website for further information:

https://www.db.com/company/company.html

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.