Blackstone
Blackstone Credit & Insurance(BXCI) Risk Analytics - Associate
New York
Sponsorship not specified$120k-$150kDetected 15 hours ago
PythonSQLData EngineeringSalesLoad TestingVoIPLeadershipCommunicationCFA
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Entry-level history0
PERM / green-card track0
Lottery odds (Level III)83
Fits your clock70
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About the role
- BXCI also provides investment management services to insurance companies, helping them deliver for policyholders through world‑class private credit capabilities.
- Blackstone Credit & Insurance ("BXCI") is one of the world's leading credit investors, with investments spanning private investment grade, asset‑based lending, public investment grade and high yield, sustainable resources, infrastructure debt, collateralized loan obligations, direct lending, and opportunistic credit.
Responsibilities
- Build, enhance, and maintain risk analytics for insurance, public credit, and private credit portfolios, including exposure analysis, factor sensitivities, stress testing, and scenario analysis.
- Partner with portfolio managers, deal teams, traders, and clients to deliver actionable risk insights supporting portfolio construction, hedging, and underwriting.
- Collaborate with quant, technology, and data engineering teams to implement scalable workflows, data lineage, access controls, and analytical tools.
- Engage directly with clients to understand risk objectives, deliver tailored analysis, and respond to risk‑related inquiries.
- Blackstone is seeking an Associate, Risk Analytics to help develop, enhance, and operate the firm's investment analytics production across insurance, and public and private credit portfolios.
- Advising on marketing plans prepared by a sales team or developing and/or contributing information for marketing materials.
- Blackstone seeks to deliver compelling returns for institutional and individual investors by strengthening the companies in which the firm invests.
Requirements
- In addition to strong analytical and quantitative skills, the successful candidate should have:
- Familiarity with regulatory, audit, and governance expectations for institutional investors.
- Strong proficiency with Intex, FactSet, Aladdin, PolyPaths, Bloomberg, or similar platforms.
- Experience with BI and reporting tools (e.g., Sigma) and data catalog or lineage platforms.
- The duties and responsibilities described here are not exhaustive and additional assignments, duties, or responsibilities may be required of this position.
- All Blackstone employees, including but not limited to recruiting personnel and hiring managers, are required to abide by this policy.
- Depending on the position, you may be required to obtain certain securities licenses if you are in a client facing role and/or if you are engaged in the following:
- Attending client meetings where you are discussing Blackstone products and/or and client questions;
- Fields marked with a red asterisk * must be completed to be considered for employment (although some can be answered "prefer not to say").
- Blackstone seeks to hire individuals who are highly motivated, intelligent and have demonstrated excellence in prior endeavors. In addition to strong analytical and quantitative skills, the successful candidate should have:
- advanced degree preferred. CFA, FRM, CAIA a plus.
- 4+ years of experience in investment risk, portfolio analytics, or quantitative finance, with exposure to both public and private credit. Insurance a plus.
- Deep understanding of corporate credit, structured credit, loans, real estate, and securitized products.
- Demonstrated ownership of risk analytics platforms, data workflows, and cross‑asset risk frameworks.
- The duties and responsibilities described here are not exhaustive and additional assignments, duties, or responsibilities may be required of this position. Assignments, duties, and responsibilities may be changed at any time, with or without notice, by Blackstone in its sole discretion.
- Expected annual base salary range:
- $120,000 - $150,000
Nice to have
- Bachelor's degree in Finance, Economics, STEM, or a related field
- advanced degree preferred.
- CFA, FRM, CAIA a plus.
- 4+ years of experience in investment risk, portfolio analytics, or quantitative finance, with exposure to both public and private credit.
- Insurance a plus.
- Strong SQL skills
- Python proficiency preferred.
Compensation
- $120,000 - $150,000
- Actual base salary within that range will be determined by several components including but not limited to the individual's experience, skills, qualifications and job location.
- For roles located outside of the US, please disregard the posted salary bands as these roles will follow a separate compensation process based on local market comparables.
- Additional compensation and benefits offered in connection with the role consist of comprehensive health benefits, including but not limited to medical, dental, vision, and FSA benefits; paid time off; life insurance; 401(k) plan; and discretionary bonuses.
- Certain employees may also be eligible for equity and other incentive compensation at Blackstone's sole discretion.
- This policy applies to all terms and conditions of employment, including but not limited to hiring, placement, promotion, termination, transfer, leave of absence, compensation, and training.
Benefits
- Blackstone's over $1.3 trillion in assets under management include global investment strategies focused on real estate, private equity, credit, infrastructure, life sciences, growth equity, secondaries and hedge funds.
- Train and manage offshore teams to extend analytics coverage and institutional knowledge across time zones.
Equal opportunity
- If you need a reasonable accommodation to complete your application, please contact Human Resources at 212-583-5000 (US), +44 (0)20 7451 4000 (EMEA) or +852 3656 8600 (APAC).
Visa & Work Authorization
- nd applicants for employment without regard to race, color, creed, religion, sex, pregnancy, national origin, ancestry, citizenship status, age, marital or partnership status, sexual orientation, gender identity or expre
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This listing is sourced directly from Blackstone's careers page and normalized into a canonical job model.