Valuation Control Strat
A strat in the valuation control team, building applications for independent price verification, observability and levelling, prudent valuation and fair value reserves. It sits in Group Strategic Analytics.
What you’d work on
Our reading of the posting: what a new hire in this role would most likely spend their first months on.
- Build front-to-back valuation control functionality in C++ and Python
- Re-engineer platform analytics to make valuation control processes more efficient
- Define practical reserve and prudent-valuation methods with trading and risk
- Create frameworks to monitor and govern valuation standards
What they ask for
Required
- Object-oriented Python and/or C++
- Cross-asset derivatives understanding
- Ownership under tight deadlines
- Clear communication of technical detail
- Sensible use of AI tools
Preferred
- IPV, fair value or PruVal knowledge
- Education
- Not stated
- Experience
- Associate-level strat or developer with derivatives knowledge
- Languages and tools
- Markets
- multi-asset
How to prepare
- Learn IPV, fair value levelling and prudent valuation adjustments
- Price a mixed derivatives book and build a mark-versus-observable-data comparison tool
- Study derivative pricing across rates, FX, equity and credit
- Write well-tested C++ or Python workflow tooling
What to study
- Quantitative Risk Management
- Derivatives Pricing and Computational Finance
- Advanced Derivatives and Exotic Options
- Modern C++ for Quantitative Finance
The Model Validation Quant roadmap sets out the stages for this kind of role, with free resources for each.
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Read the full posting on Deutsche Bank’s site before applying: requirements, location and pay can change after we check them.
View the posting on Deutsche Bank’s site ↗
SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Deutsche Bank and doesn’t handle applications.