Quant Analytics, Senior Associate

Work for a company who gives you a platform to do amazing things. 

As a Quant Analytics Senior Associate, you will be a key member of the Lending Innovation Data & Analytics team within the broader Data & Analytics (D&A) organization. The ideal candidate will have expertise in statistical modeling, machine learning, and advanced data analysis paired with strong coding skills in Python & SQL.  You will help drive business insights, create scalable self service products, and solve complex problems in price optimization, customer funnel analysis, marketing modeling and more.  The role offers opportunities to work on innovative AI/ML initiatives as the team grows. 

Job responsibilities

• Collaborate with Product and D&A to define objectives and develop data-driven solutions. 
• Conduct descriptive and inferential analytics to uncover trends, patterns, and actionable insights. 
• Build and maintain dashboard, visualizations, and self-service tools for internal and external stakeholders
• Develop predictive models, and down the line, prescriptive models using machine learning algorithms and statistical techniques
• Provide actionable insights to support strategic decision-making and optimize business processes
• Continuously support the build of data pipelines, workflows, and automation for scalable analytical solutions 

Required qualifications, capabilities, and skills 

• Bachelor's or Master’s degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field. 
• 4+ years of experience in data analysis, statistical modeling and machine learning
• Proficiency in Python and SQL for data analysis, manipulation, and modeling 
• Strong expertise in data visualization tools (e.g., Tableau) and frameworks (e.g., React, Dash, Plotly, etc)
• Solid foundation in experimental design, A/B testing, and hypothesis-driven problem solving
• Exceptional critical thinking, analytical, and communication skills to effectively deliver insights to technical and non-technical audiences

Preferred qualifications, capabilities, and skills 

• Experience with cloud platforms (e.g., AWS, Snowflake) for large scale data processing
• Experience deploying everything from dashboards to models in a production environment
• Proficiency in natural language processing techniques or other advanced data science domains
• Knowledge of advanced optimization techniques or causal inference methods

***Relocation assistance is not offered/supported for this role

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 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