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Deutsche Bank

Finances businesses and manages personal wealth

Group Strategic Analytics Quantitative Strategist VP - Valuation Control

Quantitative DevelopmentConfirmed live in the last 24 hours
Full-timeMumbai, Maharashtra, IndiaNo salary listedIn-person

About the Job

Requirements

  • At least 8.5 years of relevant experience in quantitative software development, financial engineering, pricing, risk, or valuation for VP level.
  • A strong analytical background in MFE, Engineering, Mathematics, or Quantitative Statistics.
  • Industry experience programming in Python and knowledge of programming concepts, including classes, pointers, and data structures such as stacks and queues.
  • Good knowledge of derivatives financial products and pricing methodology in at least one asset class: Equity, Credit, Rates, FX, or Commodities.
  • Experience with valuation models and pricing techniques.
  • Market risk, Middle Office, or Valuations background with relevant subject-matter expertise in at least one of these disciplines.
  • Ability to work on projects while simultaneously supporting a production environment.
  • Ability to use AI tools to enhance productivity and optimize workflows, while applying critical judgment to ensure responsible and ethical use of data and AI outputs.

Responsibilities

  • Collaborate with Valuation Control managers and Front Office quantitative teams globally to design and deliver technology solutions for valuation processes and methodologies across internal and regulatory-driven projects.
  • Take direct ownership of software design, implementation, testing, deployment, and production support.
  • Translate business and quantitative requirements into end-to-end solutions on a scalable platform.
  • Facilitate and foster stakeholder relationships globally and within the local region, and support and motivate the team.
  • Build libraries and develop automated and analytical solutions for Valuation Control activities, including Market Data Submission to Totem, Independent Price Validation, Prudential Valuation, and Levelling.
  • Collaborate with global stakeholders to validate requirements, assumptions, interfaces, and acceptance criteria.
  • Translate business requirements into reusable and scalable production components.
  • Develop, design, implement, and test underlying libraries and interfaces that are audit-compliant, dependable, and resilient for the use case.
  • Build Python libraries and APIs that follow bank standards and best practices for cyber hygiene, coding, validation, and testing, with documentation, automated tests, and appropriate controls.
  • Resolve regulatory, audit, and internal findings through root-cause analysis and sustainable technical controls.
  • Support proper documentation of the implemented methodologies.

About the Company

Deutsche Bank

Finances businesses and manages personal wealth

Deutsche Bank finances companies, governments and individuals through a global banking network rooted in Germany and spanning major financial markets. Its investment bank focuses on bonds and currencies, alongside advice on mergers and raising capital, while its private bank handles household banking and wealth management. Businesses use its cash management, trade finance and lending services to move money and fund operations, and the group manages investment funds through DWS. It earns money from loan interest, transaction and investment fees, and trading activity. Deutsche Bank traces its founding to 1870 and is headquartered in Frankfurt am Main, Germany.

Company size
10,001+
Company stage
IPO
Headquarters
Frankfurt, Germany
Founded
1870

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