Overview
In this role you will advance the quantitative platforms that support risk, portfolio, and trading analyses across equity and fixed income assets. You will develop and implement models for diverse products, collaborating with quant analysts, portfolio managers and risk teams. The position sits within BXTI’s technology organization, shaping systems that improve risk management, efficiency and transparency across Blackstone’s businesses. It offers the chance to impact investment decisions and firm-wide data platforms at scale, in a fast-paced, cross-functional environment.
Responsibilities
- Build and implement models for Equity and Fixed Income products (including Real Estate, Asset Backed Securities, Credit, and Private Equity)
- Develop data models related to risk, portfolios, and trading
- Collaborate with Quantitative Analysts, Portfolio Managers and Risk teams
- Integrate disparate data sources and support multiple ongoing projects
Key requirements
- 5+ years of experience (preferred but not strictly required)
- PhD or MS in a quant discipline preferred
- Strong proficiency in Python
- Experience with databases (SQL, KDB, etc.)
- Strong forecasting and statistical modelling skills
- Able to balance multiple projects in a fast-paced environment
- Good communication skills
- self-driven
- excellent communication
- ability to work both independently and in a team
- Python
- SQL
- KDB
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