Lead Front Office Divisional Strat (VP-Dir)

Ref: LDS-0602
Truly Excellent Package plus Front Office Bonus
Tier-1 Investment Bank
Observability, IFRS9, FRTB, Analytics, Risk Architecture, Fair Value hierarchy

The Front Office Divisional Strats group at this top-tier Investment Bank works across various functions including Risk & Finance, Sales & Trading, and technology implementing solutions globally. Responsible for cross-business issues such as model risk, trade capture, fair valuation, Day 1 P&L and Level 3 assets, product governance and trading and client controls.
They now seek a Lead Strat for Observability as applied to Levelling, Day 1 reserves and processes such as back-testing for IPV, capture and analysis of traded prices/quotes. Their solutions are re-usable for FRTB. Great potential for role to expand, e.g. into pricing analytics and model risk.


  • Analyse requirements for observability from accounting (IFRS) and regulatory (FRTB) texts and convert this to executable tasks and processes.
  • Work with Strats and Finance to determine solutions & validate the methodology to decide which processes are better off implemented in upstream technology.
  • Work with Strats teams (Core & Desk) and Technology to determine and execute the optimum implementation across Global Markets.
  • Assist developing new infrastructure, methodology and data models for front office, risk and finance.
  • Directly implement code and devise methodologies to address the valuation issues.
  • Take leadership to ensure effective execution of the program.


  • 5 to 10 yrs analytic, modelling, pricing and risk management skills
  • Strong computing skills using, e.g. Python, Matlab, R, S-Plus, C++, SQL and Oracle
  • Strong derivatives knowledge in at least one asset class
  • Good understanding of Fair Value hierarchy, from quoted prices in active markets in Level 1 to unobservable inputs in Level 3.
  • Strong statistical, quantitative modeling, and knowledge of FRTB
  • MSc / PhD in e.g. Finance, Maths, Physics, Computer Science, Econometrics, Stats or Engineering
  • Able to communicate effectively across multiple teams and functions