Senior Financial Engineer (Equity Derivatives) (SG Americas Securities, LLC, New York, NY)
Responsibilities:
- Develop, test & deploy new back-end software applications with a focus on pricing and modeling trading systematic strategies.
- Analyze and back test strategies using Excel and Python programming language.
- Analyze and produce financial models (including stochastic volatility model and Local Volatility Model) used to price Cross Asset Solutions portfolios.
- Use Python, Excel, VBA to develop quantitative tools for back testing of systematic trading strategies through various asset classes (including Equity, Commodities, Fixed Income, FX and Multi-Asset) while considering trading and pricing constraints (including liquidity, trading capacity and hedge related costs).
- Develop, design and promote Equity derivatives and Hybrid derivatives products and solutions, focused on Distribution business (through broker dealer or private banks) and Financial Institutions such as Insurance companies.
- Run daily pricings of structured products for the Insurance business and for the Distribution business.
- Work with and optimize the use of massive relational and No SQL databases.
- Promote and ensure the pre-trade service directly with the sales teams and clients.
- Develop automation tools to price structured products for the sales force and clients.
- Create pricing runs or automation to enhance client experience and pricing efficiency.
- Promote and ensure the post-trade service directly with the sales teams and clients.
- Implement the post-trade workflow system to automate trade executions and booking processes from legal documentation generation to middle office booking notification emails to respect the mandatory trace reporting.
- Implement different PowerBI dashboard and management system for a follow-up of the sales activities.
- Manage the convergences with IT and within ENG.
- Explore new IT technologies with the potential to enhance business workflow (mainly Distribution and Insurance business).
Profile Required:
MINIMUM REQUIREMENTS:
- Master’s degree or U.S. equivalent in Financial Engineering, Computer Engineering, Computer Science, Mathematics, Finance, or related field, plus 3 years of professional experience as a Program Analyst, Financial Engineer or any occupation/position/job title involving financial engineering.
- 3 years of professional experience programming in Python, C#, Excel, and VBA to develop quantitative tools for back testing of systematic trading strategies through various asset classes.
- 3 years of professional experience transcripting requests into scalable IT applications.
- 3 years of professional experience developing web solutions to handle sales activity to automate engineers, sales or trading.
- 3 years of professional experience coding using automatic unit testing.
- 3 years of professional experience designing and implementing APIs for a service-driven architecture.
- 3 years of professional experience analyzing and improving performance of libraries by enhancing algorithms and parallelizing.
- 2 years of professional experience utilizing financial knowledge in options theory.
- 2 years of professional experience analyzing ongoing financial and economic conditions to determine its impact on trading, portfolio performance and portfolio risk management.
- 1 year of professional experience developing, testing and deploying new back-end software applications, libraries and frameworks for pre-trade systems.
LINK TO EMPLOYEE REFERRAL PROGRAM: http://entrenet.us.world.socgen/support_groups/human_resources/talent_management/employee_referral_program.html
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