3 ΡΠ°ΡΠ° Π½Π°Π·Π°Π΄
BXCI, Asset Management, Risk Analytics, VP (Risk Analytics)
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
Π’Π΅ΠΊΡΡ:
TL;DR
BXCI, Asset Management, Risk Analytics, VP (Risk Analytics): Developing and operating investment risk analytics for insurance, public credit, private credit, structured products, and multi-asset portfolios with an accent on exposure analysis, factor sensitivities, cash flow projections, stress testing, and scenario analysis. Focus on integrating third-party analytics platforms, governing security-level data and models, building scalable workflows, and delivering decision-ready insights to investment teams and clients.
Location: London
Company
is a global alternative asset manager investing across real estate, private equity, credit, infrastructure, life sciences, growth equity, secondaries, and hedge funds.
What you will do
- Build, enhance, and maintain risk analytics for insurance, public credit, and private credit portfolios.
- Develop exposure analysis, factor sensitivities, stress testing, scenario analysis, and multi-scenario asset cash flow projections.
- Integrate Intex, Cardo, FactSet, Aladdin, Bloomberg, and similar platforms into internal risk models and reporting frameworks.
- Govern reference data, models, security-level analytics, data lineage, access controls, and scalable analytical workflows.
- Partner with portfolio managers, deal teams, traders, clients, risk committees, technology, data engineering, and senior leadership.
- Train and manage offshore teams and communicate quantitative risk concepts to technical and non-technical audiences.
Requirements
- Bachelorβs degree in Finance, Economics, STEM, or a related field; an advanced degree is preferred.
- 10β12+ years of experience in investment risk, portfolio analytics, or quantitative finance, including public and private credit exposure.
- Deep understanding of corporate credit, structured credit, loans, real estate, and securitized products.
- Experience owning risk analytics platforms, data workflows, and cross-asset risk frameworks.
- Familiarity with regulatory, audit, and governance expectations for institutional investors.
- Strong SQL skills and proficiency with Intex, FactSet, Aladdin, PolyPaths, Bloomberg, or similar platforms; Python proficiency and BI/reporting experience are preferred.
Culture & Benefits
- Work in a fast-paced, regulated investment environment.
- Collaborate across investment, risk, technology, data, reporting, and client-facing functions.
- Support institutional investors and insurance clients through tailored risk analysis.
- Securities licensing may be required for certain client-facing, fund-structuring, marketing, or supervisory activities.
- Equal employment opportunity and reasonable accommodation support are provided.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β