Develop risk scenarios utilizing analytic model library; develop P&L calculations and P&L attribution analytics: perform hands-on design and development of Risk & PnL related calculations on banks strategic platform – Quartz working closely with trading, desk strategists, quantitative analysts and technology teams.
Partner daily with Equity traders and trading management to derive requirements, get feedback on new features and seek new opportunities to improve intraday risk analytics and P&L monitoring, and develop superior solutions to monetize trading opportunities
Define Product strategy for Risk & PnL across Equities in close collaboration with Trading and Equities Management, producing detailed design requirements by working closely with critical support partners within Technology, Compliance, Legal, Operations and Finance; drive strategic decisions in Equities risk and P&L system landscape
Develop and maintain a multi-year strategy for Equities Risk and P&L calculation and reporting systems and drive its execution by planning and prioritizing work for Equities Risk and P&L technology and quantitative analytics. Balance long term vision with short-term tactical business and regulatory needs.
Drive execution of plans of agile train across risk technology, quantitative analytics, product development, as well as other groups external to train
Facilitate system and business process improvements by engaging Risk and P&L stakeholders across the organization: management, trading, middle office, market risk, finance, quant analytics and technology. Provide expertise in product management, budget planning, architecture, development and operations of Risk and P&L systems
Manage and govern key Equities investment initiatives and drive analysis of priority products, features, clients and markets to establish product baselines, peer insights and commercial opportunities.
Perform product management function across all teams with Equities Risk and PnL train including technology and quants using the Scaled Agile methodology with quarterly Program Increment planning, prioritization and data driven status reporting.
Skills and Experience:
Proficient quantitative development in Python (secondarily: Java, C++)
Knowledge of derivative payoffs and pricing models, greeks and risk scenarios
Knowledge of P&L calculation and P&L attribution methodologies – including revaluation- and risk-based P&L explain
Enterprise scale software design – compute grids, real-time data
Product management – vision, strategy, road maps and execution plans
Project management – experience in leading cross-org initiatives
Experience of managing stakeholder relationships with key business groups in trading, quantitative analytics, market risk, finance, compliance and audit
Experience in migrating large legacy applications onto strategic stack, contributing to all phases of the process – project management, strategic product development and stakeholder communication, user transition