6 часов назад
Total Portfolio Analytics & Investment AI Strategy Lead
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Total Portfolio Analytics & Investment AI Strategy Lead (investment analytics and AI): Building analytics frameworks, data models, and decision-support tools for total portfolio management across public and private investments with an accent on asset allocation, risk, liquidity, performance, and rebalancing. Focus on developing portfolio optimization and stress-testing models, integrating investment data, and moving AI-enabled capabilities into production.
Location: Milwaukee, WI Corporate
Company
provides insurance and financial services, with its General Account managed through a long-term, diversified investment strategy.
What you will do
- Lead analytical frameworks for strategic and tactical asset allocation, portfolio construction, liquidity planning, risk budgeting, rebalancing, and scenario analysis across public and private assets.
- Define and lead AI-enabled investment opportunities that improve decision-making, automate repeatable workflows, and create scalable capabilities.
- Partner with engineering, data, technology, risk, compliance, governance, and enterprise AI teams to translate investment needs into production capabilities.
- Build integrated data models with quality checks, lineage, documentation, and data from public and private markets, external managers, and internal strategies.
- Develop dashboards, applications, and portfolio views using Power BI, Streamlit, or similar tools.
- Manage and develop a small team while improving investment analytics, reporting, controls, and workflows.
Requirements
- Bachelor’s degree in Finance, Economics, Statistics, Computer Science, Engineering, or another quantitative field.
- 7–10+ years of relevant multi-asset or total portfolio analytics experience in asset management, an allocator, or consulting, including public and private markets.
- Experience leading, managing, or mentoring a small team.
- Strong knowledge of asset allocation, portfolio construction, risk and liquidity management, performance measurement, and attribution.
- Proficiency in SQL and Python or R, with experience using modern data warehouses such as Snowflake or Redshift.
- Experience with analytical tools and investment platforms such as Tableau, Power BI, Streamlit, Aladdin, Bloomberg, eFront, or Yardi; familiarity with AI/ML, model governance, agents, or production analytics environments.
Nice to have
- Advanced degree such as an MS or PhD.
- Progress toward the CFA designation.
Culture & Benefits
- Full-time employment within the Investment Strategy Department and Investment Data Office.
- Collaboration across investment strategy, portfolio management, trading, operations, risk, data, engineering, and enterprise teams.
- Focus on quality, controls, ownership, curiosity, adaptability, and clear communication with technical and non-technical audiences.
- Compensation is determined based on skills and experience, market conditions, candidate location, and other hiring-process factors.
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