BXCI, Asset Management, Risk Analytics, VP

Overview

Senior risk analytics lead at BXCI, shaping the investment risk framework for insurance, public and private credit. You will partner with investment, technology, and client teams to deliver timely risk insights across multi-asset portfolios. Your work spans analytical modeling, stress testing, and data governance in a regulated setting. This role offers impact through scalable analytics and direct client engagement, contributing to prudent risk management and performance stewardship.

Responsibilities

• Build and maintain risk analytics for insurance and credit portfolios, including exposure, factor sensitivities, stress tests, and scenario analysis
• Produce asset cash flow projections across scenarios with realistic downside outcomes
• Integrate external analytics platforms (Intex, Cardo, FactSet, Aladdin, Bloomberg) into internal risk models
• Ensure governance and accuracy of reference data, models, and security-level analytics across the risk platform
• Collaborate with portfolio managers, deal teams, traders, and clients to provide actionable risk insights for portfolio construction and hedging
• Work with quant, tech, and data teams to implement scalable workflows, data lineage, and access controls
• Train and manage offshore teams to extend analytics coverage across time zones
• Coordinate with performance reporting to align attribution with risk profiles

Key requirements

• Bachelor’s degree in Finance, Economics, STEM, or related field; advanced degree preferred
• 10-12+ years in investment risk, portfolio analytics, or quantitative finance with exposure to public and private credit; insurance a plus
• Strong understanding of corporate, structured, loans, real estate, and securitized products
• Proven ownership of risk analytics platforms, data workflows, and cross-asset risk frameworks
• Familiarity with regulatory, audit, and governance expectations for institutional investors
• Proficiency with Intex, FactSet, Aladdin, PolyPaths, Bloomberg, or similar platforms
• Strong SQL skills; Python proficiency preferred
• Experience with BI and reporting tools (e.g., Sigma) and data catalog or lineage platforms

• Ability to translate complex quantitative concepts for non-technical audiences
• Cross-functional collaboration with investment, technology, and client teams
• Mentoring and managing offshore teams
• Risk analytics platforms (Intex, FactSet, Aladdin, Bloomberg)
• SQL programming; Python
• Experience with data lineage, governance, and ETL/workflows

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