VP/Director - STP Desk Quant
About The Position
What is the opportunity? The GE Quantitative Analytics team is looking for an experienced STP desk quant to help scaling up our STP business coverage. In this role, the candidate will provide front-office quant support on STP equity derivatives products and QIS strategies. The candidate is expected to have in-depth knowledge and a solid understanding of relevant financial mathematics and modeling, be familiar with most common STP products and experienced in implementing solutions, and be able to communicate effectively with traders, structurers, back-office, tech and other quants. What will you do? Desk Support: provide desk-support to STP & Corp traders – help with trading’s pricing needs, investigate and resolve Risk/PNL and other related issues. Analytics Development: pricing library support and enhancement – improve the overall analytics quality, performance and coverage, scripting new payoffs, implementing additional product features, alternative pricing methods etc. Research & Modeling: perform statistical analyses & research studies to better understand market dynamics and adopting novel approaches to modeling & risk-hedging. Process Improvement: help with pricing automation, booking workflow, risk monitoring and cashflow settlement. Application & Data Management: active engagement with tech teams on relevant trading-app designs and data management. Testing & Documentation: model-testing framework & documentation tasks, work with risk-control teams on model-approvals and issues resolutions.
Requirements
- Education: advanced degree (MS/PhD) in mathematical finance, applied mathematics/statistics, physics, engineering and a related quantitative field
- (senior) VP or Director level with A minimum of 3-years of front-desk quant-support experience
- Working knowledge of the Black-Scholes pricing framework and data structure, and Risk & PNL implementations.
- Hands-on development work in the pricing analytics & familiarity with some most common SPT products.
- Software: C++ and Python.
- Communications: good communication skills.
Nice To Haves
- Products: digital/barrier/asian/lookback options, cliquets, ASR, callables/autocallables, accumulator/decumulator, worst-of/best-of, variance/volatility products…
- Models: LV/SLV, Heston/SABR, rough-vol models…
- Pricing Methods: Analytical, Monte-Carlo (Longstaff-Schwartz), Generic PDE…
- QIS & Hybrids: exposures to QIS development and/or other asset-types (Rates, FX, Credit & Commodity…)
- Data & Back-testing: experiences in data engineering, signal-generation, and trade & hedging analyses...
- ML & AI: experiences in machine-learning techniques and AI.
Responsibilities
- Desk Support: provide desk-support to STP & Corp traders – help with trading’s pricing needs, investigate and resolve Risk/PNL and other related issues.
- Analytics Development: pricing library support and enhancement – improve the overall analytics quality, performance and coverage, scripting new payoffs, implementing additional product features, alternative pricing methods etc.
- Research & Modeling: perform statistical analyses & research studies to better understand market dynamics and adopting novel approaches to modeling & risk-hedging.
- Process Improvement: help with pricing automation, booking workflow, risk monitoring and cashflow settlement.
- Application & Data Management: active engagement with tech teams on relevant trading-app designs and data management.
- Testing & Documentation: model-testing framework & documentation tasks, work with risk-control teams on model-approvals and issues resolutions.
Benefits
- A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
- Leaders who support your development through coaching and managing opportunities
- Ability to make a difference and lasting impact
- Work in a dynamic, collaborative, progressive, and high-performing team
- A world-class training program in financial services
- Flexible work/life balance options
- Opportunities to do challenging work
- Opportunities to take on progressively greater accountabilities
- Access to a variety of job opportunities across business and geographies
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
