Description
We are seeking an Equities Derivatives Strat, VP to join our team at Barclays. As an Equities Derivatives Strat, VP, you will bring coding-heavy Quant Developer experience and be focused on expanding and scaling a US equity derivatives flow research and portfolio analysis platform.
You will work directly with trading desks to build back-testing infrastructure, integrate multiple vendor and internal (KDB) data services, and support portfolio optimization and analysis. You will contribute to several high-impact projects as the platform is broadened and large-scale analytical capabilities are enhanced.
Responsibilities:
- Development and implementation of quantitative models and strategies to derive insight into market trends and optimize trading decisions, pricing, and risk management across various financial products and markets.
- Working closely with sales teams to identify clients' needs and develop customised solutions.
- In-depth research, data analysis, and statistical modelling to derive insights into market trends, pricing, and risk dynamics.
- Provide front office infrastructure support though ownership and maintenance of analytical libraries.
- Provision of expertise on quantitative methodologies, technological advancements, and industry best practices to drive innovation within the trading environment.
Vice President Expectations:
- Contribute or set strategy, drive requirements and make recommendations for change.
- Plan resources, budgets, and policies; manage and maintain policies/processes; deliver continuous improvements and escalate breaches of policies/procedures.
- Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does.
- Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies.
Requirements:
- Advanced Python development with additional experience in Java.
- Equity derivatives expertise.
- Back-testing frameworks and portfolio optimization techniques.
- Large-scale data analysis using vendor and internal datasets (KDB).
- Quantitative development for research and trading platforms.
Preferred Skills:
- Clear, confident communication with front-office trading desks.
- Ample problem-solving and analytical thinking.
- Ability to manage multiple projects in a fast-paced environment.
- Detail-oriented with considerable ownership of deliverables.
- Collaborative mindset working closely with quants, traders, and engineers.