Associate Product Manager - AI-Powered Reconciliation Platform

Job Description

Role Purpose 

The purpose of this role is

About the Role

We are looking for an Associate Product Manager (APM) to help conceptualize, build, and scale a next-generation AI-powered Enterprise Reconciliation Platform for Capital Markets.

Reporting to the Product Manager, the APM will help shape the product vision, strategy, roadmap, user experience and go-to-market proposition. The role requires strong understanding of capital-markets operations and the ability to translate complex reconciliation and exception-management processes into configurable, scalable and AI-driven product capabilities.

The ideal candidate combines capital-markets domain knowledge, product thinking, technology awareness and commercial acumen, with the curiosity to reimagine traditional reconciliation using AI, Agentic AI and intelligent automation.

Key Responsibilities

Product Vision, Strategy & Roadmap

• Partner with the Product Manager to define the product vision, strategy, positioning and multi-year roadmap.
• Continuously assess market trends, customer needs, regulatory changes, competitors and emerging AI technologies to evolve the roadmap and maintain differentiation.
• Conduct customer discovery and competitive analysis to identify unmet needs, whitespace opportunities and high-value use cases.

Reconciliation Domain & Product Capabilities

• Develop deep understanding of reconciliation workflows across buy-side, sell-side, asset managers, broker-dealers, custodians, prime brokers, clearing organizations and fund administrators.
• Define capabilities spanning:
• Trade and broker reconciliation
• Cash and position/holdings reconciliation
• Settlement reconciliation and failed-trade management
• Custodian and books-and-records reconciliation
• Fees and commission reconciliation
• Margin and collateral reconciliation
• Corporate actions and lifecycle reconciliation
• NAV, valuation and accounting reconciliation
• Internal/inter-system and reference-data reconciliation
• Define horizontal platform capabilities including multi-source data ingestion, normalization, enrichment, configurable matching/rules, tolerance management, break detection, exception workflows, case management, approvals, ageing/escalation, dashboards, auditability and reporting.

AI & Product Innovation

• Define AI-driven capabilities for break classification, root-cause analysis, anomaly detection, intelligent matching, evidence gathering, resolution recommendations and automated exception resolution.
• Help evolve reconciliation from reactive exception handling toward predictive and increasingly autonomous operations.
• Incorporate appropriate human-in-the-loop controls, explainability, traceability and responsible-AI principles.

to lead domain-led transformation initiatives by overseeing delivery governance, reviewing forecasting models, and supervising teams, while ensuring business outcomes through revenue growth and opportunity identification.

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Product Definition & UX

• Translate business problems into personas, user journeys, product requirements, epics, features, acceptance criteria and measurable outcomes.
• Partner with UX and engineering teams to create intuitive experiences for operations analysts, supervisors, control functions and administrators.
• Design experiences that move operations teams toward exception-based management, reducing manual investigation and repetitive reconciliation activity.

Enterprise Platform & Ecosystem

• Define integration requirements across OMS/EMS, trading platforms, brokers, custodians, clearing infrastructure, accounting systems, data providers and internal books-and-records platforms.
• Shape enterprise capabilities around APIs, data security, entitlements, audit trails, lineage, configurable controls, scalability, resilience and multi-asset/multi-currency processing.

Ensure the product can support diverse asset classes, operating models and geographic/regulatory requirements

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• 7–10 years of experience across product management/product ownership and/or capital-markets operations or technology related to reconciliation
• Strong understanding of capital markets trade and post-trade lifecycle, reconciliation, settlement and exception management.
• Exposure to multiple asset classes such as equities, fixed income, FX and derivatives is preferred.
• Experience with reconciliation platforms, middle/back-office technology, custodians, broker-dealers or asset-management operations is highly desirable.
• Understanding of AI/ML, GenAI, Agentic AI, data platforms, workflow automation and API-based enterprise architectures.
• Bachelor's degree in Engineering, Computer Science, Finance, Business or related discipline. MBA, CFA or relevant capital-markets/product certification is desirable but not mandatory.

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