Asset & Wealth Management, MAS, PM Infrastructure and AI Data Strategy, Associat
Goldman Sachs Group, Inc., New York, NY, United States
Asset & Wealth Management, MAS, PM Infrastructure and AI Data Strategy, Associate - New York
New York, New York, United States
Job Description
Multi-Asset Solutions, “MAS” is an investing group within the Asset Management Division at Goldman Sachs. MAS is responsible for managing customized multi-asset class portfolios and funds, including discretionary mandates for U.S. and international public pension plans, sovereign wealth funds and insurance companies and providing outsourced CIO services. The team is comprised of professionals with deep and varied investment backgrounds who specialize in designing and implementing customized multi-asset class portfolios. The team applies rigorous techniques to strategic and tactical asset allocation, asset‑liability analysis, portfolio design and implementation, risk management, and portfolio reporting and analytics. The team has been managing customized multi-asset class mandates since 1995 as a committed partner to corporate pensions, sovereign wealth funds, healthcare organizations, endowments, foundations, and government institutions.
Role:
As a member of the Multi-Asset Solutions Portfolio Management team, this role sits at the intersection of data, AI, and PM Infrastructure—driving the MAS data strategy while partnering directly with the Head of PM Infrastructure & AI Strategy to deliver core platform builds. Working day‑to‑day with Portfolio Managers, Traders, and Risk, you’ll profile and map positions, risk, performance, and reference data to close gaps, improve reliability, and prototype scalable AI‑enabled automation that improves investment workflows and client outcomes.
The ideal candidate is genuinely energized by the transformative potential of AI and emerging technology—driven to self‑experiment, prototype, and push the boundaries of what’s possible with data and intelligent automation. This is a high‑impact role at the intersection of data, technology, and investment management that will shape how MAS sources, governs, and leverages data across every portfolio, workflow, and AI initiative—directly enhancing investment outcomes, strengthening portfolio performance, and elevating client experience.
Core Responsibilities:
Build deep domain fluency across MAS portfolio management, trading, risk, and PM Infrastructure to translate investment workflows into clear data and technology requirements.
Own MAS data strategy and governance across structured and unstructured data (standards, definitions, lineage, controls, stewardship) to improve reliability, reuse, and auditability.
Lead end‑to‑end data discovery and mapping across business functions—positions, risk, performance, and reference data—producing a prioritized roadmap to close data gaps across public and private markets.
Define build‑ready requirements and acceptance criteria for PM Infrastructure & AI initiatives, including data quality thresholds, validation rules, and rollout readiness checks.
Design and execute rigorous testing and output validation for PM Infrastructure & AI builds (reconciliations, edge cases, regression testing) to ensure results meet business expectations and performance benchmarks.
Identify and scale high‑impact opportunities for data and intelligent automation in PM workflows, partnering daily with PMs, Traders, Risk, and Engineering from prototype through production.
Create executive‑ready reporting for the Head of PM Infrastructure & AI Strategy—recurring status updates and dashboards that translate technical progress into decisions, risks, and next steps for senior leadership.
Basic Requirements:
Bachelor's degree required in a quantitative, technical, or finance‑related field (e.g., Computer Science, Data Science, Statistics, Economics, Engineering, or Mathematics).
2–4 years of relevant experience in investment management, data science, business intelligence, project management, or a data‑focused role within financial services or asset management.
Excellent project management skills.
Solid understanding of data concepts including data modeling and data quality frameworks.
Experience with Python or similar scripting languages for data manipulation and analysis is a plus.
Advanced knowledge of AI/ML concepts, including how data quality and structure impact model performance.
Strong written and verbal communication skills, with the ability to document technical processes clearly and present findings to both technical and non‑technical audiences.
Highly organized and detail‑oriented, with the ability to manage multiple concurrent tasks, meet deadlines, and operate effectively in a fast‑paced, collaborative environment.
Proactive and self‑motivated, comfortable taking direction while also identifying issues and opportunities independently.
Salary Range
The expected base salary for this New York‑based position is $100,000–$160,000. In addition, you may be eligible for a discretionary bonus if you are an active employee as of fiscal year‑end.
Benefits
Goldman Sachs is committed to providing our people with valuable and competitive benefits and wellness offerings, as it is a core component of providing a strong overall employee experience. A summary of these offerings, which are generally available to active, non‑temporary, full‑time and part‑time U.S. employees who work at least 20 hours per week, can be found here.
Healthcare & Medical Services
We offer competitive vacation policies based on employee level and office location. We promote time off from work to recharge by providing generous vacation entitlements and a minimum of three weeks expected vacation usage each year.
Financial Wellness & Retirement
We assist employees in saving and planning for retirement, offer financial support for higher education, and provide a number of benefits to help employees prepare for the unexpected. We offer live financial education and content on a variety of topics to address the spectrum of employees’ priorities.
Health
We offer a medical advocacy service for employees and family members facing critical health situations, and counseling and referral services through the Employee Assistance Program (EAP). We provide Global Medical, Security and Travel Assistance and a Workplace Ergonomics Program. We also offer state‑of‑the‑art on‑site health centers in certain offices.
Fitness
To encourage employees to live a healthy and active lifestyle, some of our offices feature on‑site fitness centers. For eligible employees we typically reimburse fees paid for a fitness club membership or activity (up to a pre‑approved amount).
Child Care
We offer on‑site child care centers that provide full‑time and emergency backup care, as well as mother and baby rooms and homework rooms. In every office, we provide advice and counseling services, expectant parent resources and transitional programs for parents returning from parental leave. Adoption, surrogacy, egg donation and egg retrieval stipends are also available.
Read more about the full suite of class‑leading benefits our firm has to offer.
#J-18808-Ljbffr
New York, New York, United States
Job Description
Multi-Asset Solutions, “MAS” is an investing group within the Asset Management Division at Goldman Sachs. MAS is responsible for managing customized multi-asset class portfolios and funds, including discretionary mandates for U.S. and international public pension plans, sovereign wealth funds and insurance companies and providing outsourced CIO services. The team is comprised of professionals with deep and varied investment backgrounds who specialize in designing and implementing customized multi-asset class portfolios. The team applies rigorous techniques to strategic and tactical asset allocation, asset‑liability analysis, portfolio design and implementation, risk management, and portfolio reporting and analytics. The team has been managing customized multi-asset class mandates since 1995 as a committed partner to corporate pensions, sovereign wealth funds, healthcare organizations, endowments, foundations, and government institutions.
Role:
As a member of the Multi-Asset Solutions Portfolio Management team, this role sits at the intersection of data, AI, and PM Infrastructure—driving the MAS data strategy while partnering directly with the Head of PM Infrastructure & AI Strategy to deliver core platform builds. Working day‑to‑day with Portfolio Managers, Traders, and Risk, you’ll profile and map positions, risk, performance, and reference data to close gaps, improve reliability, and prototype scalable AI‑enabled automation that improves investment workflows and client outcomes.
The ideal candidate is genuinely energized by the transformative potential of AI and emerging technology—driven to self‑experiment, prototype, and push the boundaries of what’s possible with data and intelligent automation. This is a high‑impact role at the intersection of data, technology, and investment management that will shape how MAS sources, governs, and leverages data across every portfolio, workflow, and AI initiative—directly enhancing investment outcomes, strengthening portfolio performance, and elevating client experience.
Core Responsibilities:
Build deep domain fluency across MAS portfolio management, trading, risk, and PM Infrastructure to translate investment workflows into clear data and technology requirements.
Own MAS data strategy and governance across structured and unstructured data (standards, definitions, lineage, controls, stewardship) to improve reliability, reuse, and auditability.
Lead end‑to‑end data discovery and mapping across business functions—positions, risk, performance, and reference data—producing a prioritized roadmap to close data gaps across public and private markets.
Define build‑ready requirements and acceptance criteria for PM Infrastructure & AI initiatives, including data quality thresholds, validation rules, and rollout readiness checks.
Design and execute rigorous testing and output validation for PM Infrastructure & AI builds (reconciliations, edge cases, regression testing) to ensure results meet business expectations and performance benchmarks.
Identify and scale high‑impact opportunities for data and intelligent automation in PM workflows, partnering daily with PMs, Traders, Risk, and Engineering from prototype through production.
Create executive‑ready reporting for the Head of PM Infrastructure & AI Strategy—recurring status updates and dashboards that translate technical progress into decisions, risks, and next steps for senior leadership.
Basic Requirements:
Bachelor's degree required in a quantitative, technical, or finance‑related field (e.g., Computer Science, Data Science, Statistics, Economics, Engineering, or Mathematics).
2–4 years of relevant experience in investment management, data science, business intelligence, project management, or a data‑focused role within financial services or asset management.
Excellent project management skills.
Solid understanding of data concepts including data modeling and data quality frameworks.
Experience with Python or similar scripting languages for data manipulation and analysis is a plus.
Advanced knowledge of AI/ML concepts, including how data quality and structure impact model performance.
Strong written and verbal communication skills, with the ability to document technical processes clearly and present findings to both technical and non‑technical audiences.
Highly organized and detail‑oriented, with the ability to manage multiple concurrent tasks, meet deadlines, and operate effectively in a fast‑paced, collaborative environment.
Proactive and self‑motivated, comfortable taking direction while also identifying issues and opportunities independently.
Salary Range
The expected base salary for this New York‑based position is $100,000–$160,000. In addition, you may be eligible for a discretionary bonus if you are an active employee as of fiscal year‑end.
Benefits
Goldman Sachs is committed to providing our people with valuable and competitive benefits and wellness offerings, as it is a core component of providing a strong overall employee experience. A summary of these offerings, which are generally available to active, non‑temporary, full‑time and part‑time U.S. employees who work at least 20 hours per week, can be found here.
Healthcare & Medical Services
We offer competitive vacation policies based on employee level and office location. We promote time off from work to recharge by providing generous vacation entitlements and a minimum of three weeks expected vacation usage each year.
Financial Wellness & Retirement
We assist employees in saving and planning for retirement, offer financial support for higher education, and provide a number of benefits to help employees prepare for the unexpected. We offer live financial education and content on a variety of topics to address the spectrum of employees’ priorities.
Health
We offer a medical advocacy service for employees and family members facing critical health situations, and counseling and referral services through the Employee Assistance Program (EAP). We provide Global Medical, Security and Travel Assistance and a Workplace Ergonomics Program. We also offer state‑of‑the‑art on‑site health centers in certain offices.
Fitness
To encourage employees to live a healthy and active lifestyle, some of our offices feature on‑site fitness centers. For eligible employees we typically reimburse fees paid for a fitness club membership or activity (up to a pre‑approved amount).
Child Care
We offer on‑site child care centers that provide full‑time and emergency backup care, as well as mother and baby rooms and homework rooms. In every office, we provide advice and counseling services, expectant parent resources and transitional programs for parents returning from parental leave. Adoption, surrogacy, egg donation and egg retrieval stipends are also available.
Read more about the full suite of class‑leading benefits our firm has to offer.
#J-18808-Ljbffr