Product Manager -

Job Title: Product Manager Location: Boston, Massachusetts (4 days onsite a week) Duration: 12+ Months (with possible extension) Performance Calculation, Attribution, and Data Validation/Troubleshooting (Manager) Candidates should have strong experience with: Performance Calculation Performance Attribution Data Validation/Troubleshooting when results don't tie Experience within the Financial Industry Must Have Skills 5+ years of experience as a Business Systems Analyst, Product Analyst, or similar role within Asset Management / Financial Services Strong Asset Management domain experience Investment Performance Calculation experience Performance Attribution experience Performance Data Validation, Reconciliation, and Troubleshooting experience Hands-on SQL experience (querying, data validation, reconciliation, ad hoc analysis) Experience working with Portfolio, Performance, or Risk teams Requirements Gathering and Stakeholder Management experience User Stories, Acceptance Criteria, and Functional Specifications experience Product Backlog Ownership / Agile Delivery experience Experience investigating and resolving performance calculation discrepancies when results do not tie Hands-on experience with Portfolio and Benchmark Data Strong understanding of front, middle, and back-office operations Trade Lifecycle Portfolio Accounting Reconciliation Client Reporting Knowledge of financial instruments Equities Fixed Income Derivatives ETFs Mutual Funds Alternatives Preferred / Nice-to-Have Skills CFA, CIPM, or CAIA Power BI Python Snowflake, Databricks, Azure Synapse, Microsoft Fabric JIRA / Azure DevOps AI tools (GitHub Copilot, LLMs, AI-assisted SDLC 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 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 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 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 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 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 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 Additional Requirements Hands-on product experience on investment platforms, with clear ownership of requirements, backlog, and delivery while enhancing and evolving existing systems Deep asset-management domain experience, specifically supporting: Investment Performance Attribution Benchmarks Partnering closely with Portfolio, Performance, or Risk Teams #J-18808-Ljbffr Shree Narayani Networking Solutions Pvt Ltd