Senior Product Associate at JPMC Candidate Experience page

Mumbai, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

15 Jan, 26

Salary

0.0

Posted On

17 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Product Development, User Research, Business Analysis, Financial Services, AI Applications, SQL Queries, Stakeholder Management, Compensation Tools, Financial Modeling, Process Improvement, JIRA, Collaboration, Operational Efficiency, Wealth Management, Data Analysis, Forecasting

Industry

Financial Services

Description

Unleash your expertise in product development and optimization by leveraging user research, analyzing metrics, and collaborating across one of the world’s most innovative financial organizations. As a Senior Product Associate in Wealth Management Advisor Compensation and Practice Management team , you are an integral part of the team that innovates new product offerings and leads the end-to-end product life cycle. As a core team member, you will play a critical role working with business partners in analyzing business processes, documenting requirements, identifying opportunities for improvement, mapping end-to-end processes, and supporting strategic initiatives to enhance client experience and operational efficiency. With a strong commitment to scalability, resiliency, and stability, you collaborate closely with cross-functional teams to deliver high-quality products that exceed customer expectations Job responsibilities Lead the development and enhancement of tools supporting Practice Management, ensuring alignment with incentive models and business objectives. Drive AI-powered solutions to optimize analytics, forecasting, and automation within compensation frameworks. Develop a deep understanding of wealth management products offered to clients and the pay rules associated with each product. Collaborate with stakeholders to gather business requirements, ensuring tool functionality meets strategic objectives. Oversee technical aspects, including database management and SQL queries for financial modeling and reporting. Utilize JIRA to document product requirements, development tasks, and project workflows. Work cross-functionally with technology, finance, operations, and compliance teams to drive seamless execution of advisor compensation tools. Stay ahead of industry trends, regulatory updates, and AI-driven advancements impacting wealth management advisor compensation. Required qualifications, capabilities, and skills 3 + years of domain knowledge in Wealth Management Advisor Compensation within a large financial firm. Highly motivated and detail-oriented business analysis skills to support business processes, document requirements, identify opportunities for improvement, map end-to-end processes Strong product management experience with expertise in financial services and compensation tools. Expertise in AI applications for financial analytics, automation, and predictive modeling. Technical proficiency in databases, SQL queries, and financial data analysis. Experience writing JIRA stories and managing software development processes. Excellent communication and stakeholder management skills to align objectives across business functions. Preferred qualifications, capabilities, and skills Prior experience as a private client advisor or private client investment associate is a plus. Knowledge of regulatory requirements affecting wealth management advisor compensation. Experience working with enterprise compensation management platforms and financial reporting tools. Ability to translate complex financial models into actionable business strategies. Strong problem-solving and decision-making skills in a fast-paced financial services environment.

Responsibilities

Lead the development and enhancement of tools supporting Practice Management and drive AI-powered solutions to optimize analytics and automation within compensation frameworks. Collaborate with stakeholders to gather business requirements and oversee technical aspects for financial modeling and reporting.