Quant Analytics Senior Associate

Quant Analytics Senior Associate

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. You will collaborate across the organization to advance product, design, enhancing customer experience.

In this role, you will apply your quantitative and problem-solving skills to deliver actionable insights and innovative solutions in a fast-paced environment. As part of the Connected Commerce Data & Analytics organization, you will contribute to advanced analytics projects across diverse operational functions, channels, and products.

Job 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.

Required Qualifications, Skills, and Capabilities

• 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 Qualifications, Skills, and Capabilities

• 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 prompt engineering.

About Us

Chase 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. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

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.

Equal Opportunity Employer/Disability/Veterans

About the Team

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction. The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.