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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