EquiLend is looking to drive the growth of its Data & Analytics business by transforming complex securities finance and market datasets into actionable insights for hedge funds, broker-dealers, and buy-side clients.
Requirements
- Proficiency in statistical programming (R, Python, or Matlab)
- Working with SQL or other database tools
- Strong understanding of hedge fund strategies and their intersection with securities finance and trading
- Experience with quantitative research, market data, hedge funds, or securities finance
- Ability to synthesize complex datasets into actionable analysis and client-facing narratives
- Commercial mindset with the ability to spot opportunities, build partnerships, and help drive business growth
- Strong collaboration skills and the ability to engage effectively with clients, sales, product, and technology teams
Responsibilities
- Conduct quantitative research and design new analytics and trading signals derived from securities finance data, with an emphasis on hedge fund strategies.
- Write research pieces, thought-leadership articles, and data-driven flashes that bring EquiLend's datasets to life for clients.
- Synthesize large datasets using econometric and statistical methods to generate insights that influence client decision-making.
- Partner with sales and product teams to demonstrate how EquiLend's data can drive hedge fund and trading workflows.
- Deliver engaging client presentations and bespoke consulting analyses tailored to both technical and non-technical stakeholders.
- Support the growth strategy of the Data & Analytics business by identifying new opportunities, building partnerships, and contributing to product development discussions.
- Collaborate with technology colleagues to ensure research outputs are scalable, accurate, and impactful.
Other
- 5+ years of relevant experience
- Bachelor's degree in finance, economics, engineering, or a quantitative field; CFA or advanced degree is a plus
- Excellent written and verbal communication skills, with the ability to produce compelling research and market insights
- Ability to work in a hybrid environment with up to 100 days of remote work per year
- Ability to require reasonable accommodations during the interview process if needed
