Blackstone Credit & Insurance - QDR-Quant – Senior Associate
Blackstone is the world’s largest alternative asset manager, delivering compelling returns for institutional and individual investors by strengthening the companies in which the firm invests. With over $1.3 trillion in assets under management, Blackstone’s global investment strategies span real estate, private equity, credit, infrastructure, life sciences, growth equity, secondaries, and hedge funds.
About the Business Group
Blackstone Credit & Insurance (“BXCI”) is one of the world’s leading credit investors. Investments span private investment grade, asset-based lending, public investment grade and high yield, sustainable resources, infrastructure debt, collateralized loan obligations, direct lending, and opportunistic credit. BXCI generates attractive risk-adjusted returns by providing companies with capital to strengthen and grow their businesses. It is also a leading provider of investment management services for insurers, helping those companies better deliver for policyholders through world-class capabilities in investment grade private credit.
Responsibilities
- Develop and use models of investment instruments across multiple asset classes.
- Build statistical and behavioral models of insurance company liabilities.
- Create risk management analytics to capture exposures to market, actuarial, and behavioral factors.
- Construct portfolio optimization algorithms appropriate for respective regulatory frameworks.
- Model and project the evolution of insurance company capital given assumptions of future decisions.
- Construct risk scenarios to estimate the impact of macroeconomic events.
- Develop statistical approaches for Monte Carlo paths.
- Partner with Technology on efforts to automate, scale, and streamline reporting processes.
- Implement the full-cycle of quantitative model development including comprehensive documentation.
- Manage and govern models, data, and analytics.
- Perform other duties as needed.
Qualifications
- Master’s degree (or foreign equivalent) in Financial Engineering, Statistics, Mathematics, or a related field.
- Minimum of 2 years of experience in the job offered or related occupations.
- Minimum of 2 years of experience with graph-based programming platforms like Slang or SecDB.
- Minimum of 2 years of experience with advanced machine learning techniques and statistical tools.
- Minimum of 2 years of experience with specialized Python modules like sklearn, tensorflow, cvxpy, statsmodels, etc.
- Minimum of 2 years of experience with strong proficiency in SQL and Python.
- Minimum of 2 years of experience working in code versioning systems like GitHub and CVS.
- Minimum of 1 year of experience working with Big Data infrastructure tools like Hadoop, Spark, and PySpark.
Experience can be concurrent. Duties and responsibilities may be changed at any time at Blackstone’s discretion.
Pay
Expected annual base salary range: $160,000 – $215,000. Actual base salary within that range will be determined by individual experience, skills, qualifications, and job location. For roles located outside of the US, compensation will follow a separate process based on local market comparables.
Benefits
- Comprehensive health benefits, including medical, dental, vision, and FSA.
- Paid time off.
- Life insurance.
- 401(k) plan.
- Discretionary bonuses.
- Eligibility for equity and other incentive compensation at Blackstone’s discretion.