Product Strategy Quant Analytics-Senior Associate

61 N Sandusky St, Delaware, OH, 43015, US

Full-time

Onsite

$104K/yr - $150K/yr

Entry, Mid Level

JPMorganChase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. As a Quant Analytics Senior Associate within the Product Strategy Team, you will help shape the future of Connected Commerce by developing data-driven solutions that optimize commercial transactions and support business growth.

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Responsibilities

Participate in data science projects: Leverage quantitative analytics on structured and unstructured data to generate actionable insights that influence business decision-making and strategic direction, address critical business problems, and identify growth opportunities
Drive analytics: Design, develop, and implement complex analytical solutions end-to-end with limited guidance, including formulating project proposals, performing hands-on data mining, cleaning, and exploratory analysis, defining key metrics, designing experiments and models, and translating abstract findings into actionable business solutions
Develop scalable solutions: Architect robust, efficient, and scalable data pipelines, modeling solutions, and analytics frameworks by leveraging cloud-based technologies (e.g., Snowflake, AWS, Tableau), programming languages (e.g., Python), and Gen AI skills (e.g., LLM calling, prompt engineering)
Communicate insights optimally: Present findings, recommendations, and results effectively to both technical and non-technical audiences, including executive leadership, through clear reports, visualizations, and presentations to enable data-driven decision-making
Project management: Set and align expectations regarding timelines and scope. Manage priorities to meet commitments
Collaboration across teams: Establish and maintain close relationships with key cross-functional partners to understand business strategies, develop goals, identify impactful projects, address opportunities, influence key decisions with data, and ensure client satisfaction
Adaptation, compatibility, and culture fit: Contribute to a positive and inclusive culture and team environment

Qualification

Required

BS/BA degree in a relevant quantitative field (e.g., Statistics, Economics, Finance, Business Analytics, Mathematics, Engineering, Computer Science, or a related field involving significant quantitative research and data analytics)
2+ years of financial services industry experience in business analytics roles (e.g., marketing/risk analytics, product analytics, business insights)
2+ years of work experience across a broad range of analytics technologies and tools (SQL, Spark, Python, Snowflake, AWS, Tableau, Unix, Excel Pivot, etc.) in a big data environment
Exceptional communicator capable of conveying complex information in an understandable, compelling, and persuasive manner to both technical and non-technical stakeholders
Adept critical thinker and problem solver with the ability to identify key drivers, prioritize tasks, be results-oriented, and demonstrate strong attention to detail
Ability to work independently as well as collaboratively in a dynamic, cross-functional environment, with a strong attention to detail and a passion for learning
Strong analytical and conceptual thinking skills, with a demonstrated ability to address complex, unstructured business problems through quantitative methods

Preferred

Master's/PhD in a quantitative field (e.g., Statistics, Economics, Finance, Business Analytics, Mathematics, Engineering, Computer Science, or a related field involving significant quantitative research and data analytics) with hands-on experience leveraging sophisticated analytical, machine learning, natural language processing, and generative AI techniques
Experience AI engineering and MLOps

Benefit

Comprehensive health care coverage
On-site health and wellness centers
A retirement savings plan
Backup childcare
Tuition reimbursement
Mental health support
Financial coaching

With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets.

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Founded in 2000

New York, New York, USA

10001+ employees

https://www.jpmorganchase.com

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