Capital Strategy & Front-Office Risk Analytics

Deutsche Bank AG; Greater London; Hybrid; GBP 90,000 - 140,000; Full time

Benefits offered by this job

Hybrid working

Pension

30 days holiday

Private Healthcare

Life Assurance

Flexible benefits

CSR volunteering

Bike4Work

Job summary

Deutsche Bank AG in London is seeking a Capital Strategy professional to join the Group Strategic Analytics team. You will help build scalable capital, pricing and risk analytics for Front Office and Finance, working closely with Corporate and Private Bank stakeholders.

The role requires advanced C++ and Python, strong quantitative modelling, and experience delivering production-grade pricing and forecasting analytics.

Qualifications

• Strong programming in C++ and Python.
• Experience building production-grade pricing, risk and forecasting analytics.
• Knowledge of regulatory capital and expected credit loss.
• Excellent communication to technical and business audiences.

Responsibilities

• Build scalable capital, pricing and risk analytics for Front Office and Finance.
• Develop risk-adjusted pricing for deposits and loans, reflecting funding and capital costs.
• Create forecasting and scenario tools for regulatory and business planning.
• Define consistent capital and expected credit loss methodologies across business, Risk and Finance.
• Deliver quantitative insights for profitability, resource allocation and senior management decisions.
• Partner with Corporate Bank and Private Bank stakeholders to improve profitability analytics across business, clients, products and regions.

Skills

Advanced C++

Python programming

Quantitative modelling

Pricing analytics

Regulatory knowledge

Communication skills

Job description

Deutsche Bank AG in London is seeking a Capital Strategy professional to join the Group Strategic Analytics team. You will help build scalable capital, pricing and risk analytics for Front Office and Finance, working closely with Corporate and Private Bank stakeholders.

The role requires advanced C++ and Python, strong quantitative modelling, and experience delivering production-grade pricing and forecasting analytics.