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JPMorgan Chase & Co.

Investment Risk - Associate

city of saratoga springs, NY

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About this opportunity

JPMorgan Chase & Co. lists this Investment Risk - Associate opportunity in city of saratoga springs, New York. Review the employer’s description below for duties, qualifications and application requirements.

Job description

Shape how investment risk is understood and acted on across a fast-moving investment platform. In this role, you will gain direct exposure to a broad set of investment strategies while helping drive innovation in risk analytics and decision-making. You will collaborate with investment teams and senior stakeholders across the region to deliver meaningful insights that influence portfolio outcomes. This is an opportunity to combine analytical skill, market understanding, and emerging technologies to make a tangible impact.

As an Investment Risk Associate within the APAC Asset Management Risk team, you help identify, assess, and manage risks across investment portfolios. You work closely with investment professionals and partners across regions to provide insights that improve portfolio construction and risk transparency. We offer a collaborative and forward-looking environment where you can develop deep investment expertise while contributing to innovation in analytics and data-driven risk management. Your work supports better decision-making in dynamic market conditions.

Job responsibilities

Provide independent risk oversight across investment portfolios in Asia Pacific

Analyze portfolio exposures and key risk drivers, including but not limited to market, liquidity, concentration, leverage, currency, factor, and model risks

Monitor market developments and identify emerging risks driven by macroeconomic, geopolitical, regulatory, and market-structure changes

Evaluate risk and return characteristics of investment strategies and appropriately challenge portfolio positioning and assumptions

Monitor risk indicators and esc tau material developments such as market stress, liquidity deterioration, or model/assumption breakdowns

Produce clear, actionable risk insights for portfolio managers, senior leaders, and risk governance forums

Support investment reviews, risk committees, product approvals, and related governance processes

Develop and enhance risk metrics, dashboards, and reporting to improve transparency and decision‑making

Leverage data analytics, automation, and AI tools to strengthen monitoring, reporting, and risk intelligence

Partner with colleagues across Investments, Risk, Technology, Data, Product Development, and Control functions, contribute to strategic initiatives focused on innovation, process improvement, and risk transformation

Support regulatory reviews, internal governance requirements, and management reporting

Required qualifications, capabilities, and skills

Bachelor's degree (or equivalent) in Finance, Economics, Mathematics, Engineering, Computer Science, Data Science, or a related field

Strong analytical and quantitative skills, with ability to evaluate complex investment and portfolio risks

Understanding of financial markets and investment management concepts

Ability to synthesize information and communicate risk issues clearly in writing and in discussions with technical and non-technical audiences

Strong organizational skills with ability to manage multiple priorities in a fast-paced environment

Demonstrated ownership, intellectual curiosity, and attention to detail

Ability to work independently and collaborate effectively across teams and regions

Interest in investment risk management, portfolio analytics, market structure, and emerging technologies

Preferred qualifications, capabilities, and skills

4+ years of relevant experience in asset management, investment risk management, portfolio analytics, research, or related fields

Familiarity with risk analytics such as VaR, stress testing, scenario analysis, factor models, or performance attribution

Experience with data and analytics tools such as Python, SQL, Tableau, Power BI, Alteryx, or similar technologies

Knowledge of quantitative techniques, machine learning, or AI-enabled analytical solutions

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