Product Development Associate, Fusion Product and Platform Team
Singapore
JPMorgan Chase & Co.
The buy side gains a competitive advantage by using Fusion, as their data is seamlessly integrated and combined across multiple sources into a single data model. Leveraging this model allows for data-driven insights downstream to generate investment and operational alpha. Fusion is a cloud-native data solution built for institutional investors that delivers end-to-end data management, analytics and reporting.
As a Product Development Associate within Fusion Securities Services Data Products Team, you will be responsible for leading the product strategy around core investment data products, inclusive of Fund Services container and data fabric solutions. Your role will involve idea generation, leading strategic initiatives and working across multiple lines of business. Furthermore, you will be responsible for spearheading product development, delivering value to clients and ultimately representing Fusion’s solutions.
Key Responsibilities:
- Manage all aspects of Fund Services (ABOR/IBOR) core investment data throughout the development process, including but not limited to defining product requirements, overseeing implementation, ensuring product adoption, continuous product expansion and demonstrating advocacy. Define strategic models to support internal as well as external Clients.
- Serve as a key leader in requirements gathering, service provider engagement and roadmap execution
- Document and maintain clear product requirements that will act as a guide for business and technical teams to build, launch and market products
- Identify and manage implementation of Data Quality rules to ensure timeliness, accuracy, and consistency of data
- Collaborate cross-functionally with multiple lines of business (Sales, Client Solutions, Engineering, Product, Data Science)
- Serve as a trusted advisor for Sales and Client Solution teams to lean on and establish long-term partnerships
- Identify expansion opportunities through market research and customer interactions to develop strategies that align with business objectives
- Monitor industry trends and competitor landscape
Qualifications
- Bachelor’s Degree in Financial related discipline
- Minimally 5 years of years of business and technology strategy experience in the financial and market data space
- Demonstrate strong relationship and interpersonal skills, along with the ability to interact with senior business and technology executives
- Familiarity with technical concepts, data models and a strong passion for product development
- Organize, prioritize and escalate critical issues and required information to facilitate efficient decision making; establish priorities, and provide oversight and guidance to team of those priorities
- Ability to distill widely variant feedback into root cause issues and provide actionable feedback to other stakeholders
- Excellent business presentation, writing and verbal communication skills
- Proven expertise in leading strategic product initiatives
- Strong facilitation, process and influencing skills
- Functional knowledge of common programming languages (such as Python or R) and database languages (such as SQL)
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Data management Data quality Engineering Market research Python R Research SQL
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