Senior Product Manager- Asset Management

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Please find the job description given below and let me know your interest.

Position: Senior Product Manager- Asset Management Boston MA (Onsite) 3-days per week

Location: Boston MA (Onsite) 3-days per week at the client or PS office is the expectation

Duration : 12/31/2026 possible extensions or conversion

Interview Process: 2-3 internal interview rounds

Note :

• Linkedin is Must
• This is a 3 days onsite role in Boston and looking for candidates who are local or has strong reason for relocation.

Job Description:

Must Have Skills:

Deep assetmanagement domain experience specifically supporting investment performance attribution benchmarks and partnering closely with portfolio performance or risk teams

Hands on product experience on investment platforms with clear ownership of requirements backlog and delivery while enhancing and evolving existing systems

Comfortable working directly with data including hands on SQL and some Python plus a practical mindset on using AI to improve analysis requirements and delivery artifacts

Requirements:

Business & Domain Analysis

Lead requirements elicitation sessions with business and operations across front to back-office teams in asset management with special focus on investment performance calculations attribution portfolio and benchmark data

Translate complex asset management business processes into user stories acceptance criteria and functional specifications

Map current-state and future-state workflows across front middle and back-office operations identifying gaps and optimization opportunities

Agile Delivery & Part-Time PM (20 40%)

Facilitate agile ceremonies including sprint planning stand-ups retrospectives and backlog refinement

Own and groom the product backlog in partnership with the Product Owner - stories well-defined estimated and prioritized

Track sprint velocity manage dependencies and communicate delivery status to stakeholders and leadership

Coordinate cross-functional delivery across data engineering analytics and QA workstreams

Technical & Data Collaboration

Write and maintain SQL queries for data validation reconciliation and ad hoc analysis supporting performance and benchmark data pipelines

Build BI visualizations preferably using Power BI to drive decision-making and executive readouts

Support adoption of AI-augmented practices across the SDLC - from AI-assisted requirements drafting and test case generation to automated documentation and delivery acceleration

Required Qualifications

5 years as a Business Systems Analyst or equivalent role within asset management or financial services

Strong understanding of front middle and back office operations - trade lifecycle portfolio accounting investment performance reconciliation client reporting

Working knowledge of financial instruments and products (equities fixed income derivatives alternatives ETFs mutual funds)

Demonstrated ability to independently drive requirements gathering stakeholder workshops and documentation with minimal supervision

Experience facilitating agile ceremonies and performing planning/coordination in a Scrum or Kanban environment

Proficiency in SQL for querying data validation and analytical support

Awareness of how AI and automation tools (e.g. GitHub Copilot LLM-based assistants AI test generation) are transforming the SDLC with willingness to champion adoption

Preferred Qualifications

CFA charter holder or progress toward CFA designation (Level I II or III candidate); CIPM CAIA or equivalent certifications also valued

Understanding of investment performance measurement (TWR MWR attribution analysis benchmark construction) and risk measures (VaR tracking error Sharpe ratio)

Experience with Power BI for dashboard development or data visualization

Working knowledge of Python for scripting data manipulation or automation

Familiarity with cloud data platforms such as Microsoft Fabric Azure Synapse Snowflake or Databricks

Experience with JIRA Azure DevOps or equivalent agile planning tools

What We Value

Self-starter mindset - you take ownership anticipate needs and drive work forward without being asked

Intellectual curiosity about markets instruments and the investment management value chain

Strong communication skills bridging technical teams and business stakeholders

Forward-looking perspective on AI in the SDLC - not just awareness but enthusiasm for experimenting with and integrating AI tools into planning requirements testing and delivery

Collaborative spirit with a bias toward clarity transparency and continuous improvement