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Product Control Quantitative Lead

A valuation-control role that independently checks option and structured-product pricing models and inputs. Findings go to a valuation committee, and you work with trading, risk, quants and engineers.

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.

  • Verify pricing models and inputs for options valuation
  • Analyse skew data to choose valuation sources
  • Test sensitivity to unobservable inputs
  • Validate new and bespoke instruments with desks and quants
  • Write valuation and model governance documentation
  • Specify pricing verification tools with engineers

What they ask for

Required

  • 7+ years in a prop firm, hedge fund, bank or venue
  • Building and analysing volatility surfaces and skews
  • Interpolation, extrapolation and smoothing
  • Python for data and tools
  • Control-function mindset: challenging assumptions, sensitivity analysis

Preferred

  • Model validation or governance experience
Education
No degree level stated
Experience
Minimum 7 years of relevant experience
Languages and tools
  • Python
Markets
options

How to prepare

  • Build a volatility surface from option quotes and test interpolation choices
  • Practise sensitivity analysis on pricing inputs
  • Learn model validation concepts and documentation standards
  • Study independent price verification (IPV) for derivatives

What to study

The Model Validation Quant roadmap sets out the stages for this kind of role, with free resources for each.

Open the roadmap

Apply

Read the full posting on DRW’s site before applying: requirements, location and pay can change after we check them.

View the posting on DRW’s site ↗

SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with DRW and doesn’t handle applications.

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