Head of Investment Risk and Analytics

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🔥 1 minute ago

🔔 Pennsylvania – Remote

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⏰ Full Time

🔴 Lead

💸 Financial Planning and Analysis (FP&A)

🦅 H1B Visa Sponsor

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👻 Ghost score 10%

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Logo of SEI

SEI

1001 - 5000 employees

💸 Finance

💳 Fintech

🏢 Enterprise

Finance • Fintech • Enterprise

SEI is a company that delivers technology and investment solutions aimed at connecting the financial services industry. It provides services in investment processing, operations, and asset management, working with corporations to drive financial growth and change. SEI is also committed to diversity, equity, and inclusion, and seeks dynamic talent to join its diverse teams. The company has a range of career opportunities, including early career and entry-level positions, across its operations in the U. S. , U. K. , and Ireland.

📋 Description

• Design and build the Investment Management Unit’s consolidated investment oversight application • Integrate analytics from investment, OCIO, and manager research teams, third-party platforms, and internally built applications • Build automated data pipelines, reconciled security and position masters, vendor-data governance, and auditable data lineage • Design a drillable CIO oversight view covering portfolio risk, liquidity risk, factor exposures, counterparty risk, implementation quality, performance attribution, model status, and decision history • Establish standards for risk aggregation, limits monitoring, and exception escalation • Embed LLM-driven analysis, retrieval, synthesis, monitoring, and decision-support features into investment applications • Partner with AI leadership to align investment AI adoption with the enterprise AI roadmap • Connect quantitative equity, fixed income, macro, OCIO, and manager research teams through shared platforms and joint development • Partner with the Chief Data Officer on data architecture and governance • Represent the investment organization within SEI’s enterprise data and AI leadership group • Ensure major platform initiatives have named partners outside the immediate team • Represent SEI’s investment risk and analytics capability in RFPs, due diligence meetings, webinars, and client reviews • Explain portfolio, factor, ALM/LDI, and scenario analytics clearly and commercially • Lead, develop, and shape a team spanning quantitative analytics, data engineering, and application development • Recruit hybrid talent combining investment domain knowledge with hands-on engineering ability • Represent SEI’s investment analytics perspective through research, publication, and industry engagement

🎯 Requirements

• 15+ years in quantitative investment management, portfolio management, asset allocation, managed volatility, institutional solutions, or related multi-asset disciplines • Direct accountability for risk taking and investment outcomes at scale • Experience leading quantitative research or analytics teams • Experience hiring and developing technical investment talent • Experience owning model documentation and responding to model-risk review • Experience improving portfolio construction and investment decision processes • Expert communication skills for presenting complex risk analytics to institutional clients • Demonstrated record of personally designing and building front-office platforms used by portfolio managers, CIOs, investment teams, and distribution partners • Experience aggregating positions, risk, and analytics across a global investment platform from multiple vendor and internal engines • Experience with Bloomberg PORT/PREP, Snowflake, Postgres, Aladdin, Axioma, MSCI BarraOne, or similar systems • Hands-on technical depth in Python, SQL, JavaScript, R or MATLAB, relational databases, cloud data warehousing, web application frameworks, institutional risk platforms, and portfolio analytics systems • Daily personal use of AI-assisted and agentic development tools • Experience integrating large language models via API into investment applications • Credibility with senior investment leaders, portfolio managers, research teams, engineers, enterprise data partners, and client-facing teams • Experience modeling public and private assets for complex institutional clients, including OCIO, insurance general account, pension, ALM/LDI, surplus risk, target-date, and outcome-oriented mandates • Graduate degree in a quantitative discipline • CFA charterholder and published research preferred • Published or public thought leadership strongly preferred

🏖️ Benefits

• Comprehensive care for physical and mental well-being • Strong retirement plan • Tuition reimbursement and education assistance • Support for working parents • Flexible Paid Time Off (PTO) • Healthcare: medical, dental, vision, prescription, wellness, EAP, FSA • Life and disability insurance, with premiums paid for base coverage • 401(k) match • Commuter benefits • Up to 11 paid holidays per year • 21 days PTO per year, pro-rated for new hires, increasing over time • Paid parental leave • Back-up childcare arrangements • Paid volunteer days • Discounted stock purchase plan • Investment options • Access to employee networks

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