JPMorgan Quant Analytics Manager- Vice President 

India, Maharashtra, Mumbai 

727361473

Job Responsibilities

• Search for collections of behaviors and events that, while individually innocuous, collectively indicate a likely next action to enable timely and relevant outreach.
• Support and lead partnerships with key Operations stakeholders and Operations Product groups by thoroughly understanding business drivers, underlying data, and processes.
• Build business cases, construct test designs, and identify populations for pilot programs; analyze program performance and derive insights to inform future customer strategies.
• Analyze customer interactions and events across various channels (calls, branch, online, mobile) to better understand customer journeys and identify friction points.
• Lead the development and reporting of Operations performance metrics and KPIs, using analytical tools and quantitative methods such as trend analysis, segmentation, forecasting, optimization, and other techniques to enhance business function performance.
• Create self-serve tools to provide real-time information to decision-makers. Demonstrate the ability to think both independently and collaboratively, implementing creative solutions that solve business problems while diligently focusing on details and maintaining alignment with broader business objectives.
• Recognize and articulate the stories within data, presenting them in ways that illuminate which customers are likely to take specific actions next.
• Summarize key information comfortably and present recommendations to multiple stakeholders, effectively influencing senior management.
• Communicate effectively with senior leaders to enable collaboration, facilitate decision-making, and ensure transparency.
• Mentor and coach a small group of 8-10 FTEs, driving and managing projects from start to finish. Make smart decisions that significantly impact both the business and its people. Solve business problems with the highest level of complexity. Demonstrate self-motivation and effectively coach the team to achieve consistent high performance.
• Assist the manager in identifying and onboarding talent from across the industry, mentor newer team members, and identify growth opportunities for existing team members.

Required qualifications, capabilities and skills:

• Bachelor’s / Master's Degree in Mathematics, Statistics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field with 12+ years of data Analytics experience
• Flexibility/adaptability, ability to listen and defend or change direction based upon team and stakeholder consensus
• Self-motivated, goal-oriented, and able to manage and deliver in an innovation-driven and fast-paced environment
• Should have a very good understanding of IT processes and databases. Should be able to work directly with data owners/custodians and contribute in building analytics data hub
• Leadership drive, ability to analyze problems, design solutions, and communicate effectively and confidently with relevant stakeholders to influence and gain buy-in across various job functions
• Flexibility/adaptability, ability to listen and defend or change direction based upon team and stakeholder consensus
• Superior judgment to mitigate risk, and to foster an environment where risk/control issues are escalated and trends are anticipated and identified
• Experience in wrangling large, complex datasets, strong database skills and ability to write, optimize and tune complex SQL scripts
• Experience delivering analytics solutions under strict timelines quick turn-around times
• Hands-on experience with standard data analytics tools and technologies ( at least four of SQL, Python, SAS, Tableau, Alteryx)
• Proven track record in solving business problems through fact-based and scientific analytics, like to focus on solving problems

Preferred qualifications, capabilities and skills:

• Previously worked in an insights function at a financial services firm or consulting firm supporting Financial firms.
• Have a strong grasp of big data disciplines, AWS, Agile (scrum) methodologies, and new technologies
• Are a lifelong learner and hold a growth mindset; we welcome individuals who geek out on industry podcasts, stay abreast of cutting edge techniques, and love to share what they are learning with the rest of the team
• Hands-on experience writing code and automating processes to source, transform and analyze data from multiple sources including structured and unstructured data preferred