- Employment type: Full Time
- Experience: 4 years
- Salary: ₹45,000 – ₹60,000 monthly
- Location: Remote
- Work timing: 9:15 AM to 6:15 PM IST
- Working Days: 5 Days
- Education: Any Degree
Job Responsibilities
• Gain a deep understanding of portfolio optimization techniques and develop a backlog based on firm priorities. Understand the required investment outcomes and design structures and write detailed JIRA stories along with creating initiative documentation and user facing presentations.
• Coordinate feature, regression and UAT across the entire SDLC and verify integrity of test plans. Monitor release readiness, drive release checklists, and liaise with stakeholders for end-to-end deployment.
• Own project planning, milestone tracking and JIRA story writing. Facilitate sprint planning and stand-ups. Manage project timelines, release coordination and management, stakeholder updates, and research documentation.
• Act as the central coordination point across quant researchers, product managers, and tech developers. Create dashboards and reporting frameworks for internal and external stakeholders.
• Work with engineering teams to define requirements for: Scenario analysis and Backtesting tools. Parameter tuning interfaces. Quant analytics visualization dashboards.
• Support data engineers in data pipeline needs for research validation. Translate research requirements into technical specifications for development teams.
• Partner with portfolio managers to capture qualifying criteria for trades and portfolios. Work with other technology, product, compliance, sales & marketing partners to ensure total alignment and establish clear channels of communication. Develop project plans, track progress, and ensure delivery of quant initiatives.
• Present updates, milestones, and outcomes to senior leadership and stakeholders.
Required qualifications, capabilities, and skills
• Minimum 4 years in product/project management with a background in Finance, Technology and/or Quant Research.
• Bachelor’s degree in Finance, Engineering, Data Science, or related field; Master’s degree.
• Excellent project management and communication skills.
Preferred qualifications, capabilities, and skills
• Experience in financial services or investment technology is preferred.
• Experience with Python, R, or MATLAB for portfolio analysis preferred.
