Quant Analytics Associate – Card Acquisitions Forecast & Offers Analytics

We’re driven by curiosity, passion, optimism, and the belief that everybody can grow.

As a Quant Analytics Associate on the Consumer & Community Banking (CCB) Card Acquisitions Forecast & Offers Analytic Team, you will collaborate with colleagues from Product, Finance, Risk, and Marketing to create data-driven insights that inform credit card acquisition offer strategies. Your daily responsibilities will encompass researching forecasting methodologies, developing data assets with relevant performance indicators, and analyzing credit card markets.

Job Responsibilities:

• Research, adapt, and implement quantitative methods to systematically develop credit card acquisitions forecasts, including pro forma financials.
• Develop data assets by integrating structured and unstructured data from various sources.
• Uncover meaningful trends and insights to inform credit card acquisition offers.
• Define appropriate measures to track business performance.
• Develop consistent, reliable, and informative reports to empower stakeholders.
• Enable stakeholders to make timely, data-driven decisions.
• Improve processes and procedures related to credit card acquisition offers, initiatives, and P&L forecasts in collaboration with Product, Finance, Risk, and Marketing teams.

Required qualifications, capabilities, and skills

• Intellectual curiosity and attention to detail.
• Aptitude for critical thinking.
• Good communication skills.
• Some experience or ability to become proficient with data ETL and visualization tools, such as Snowflake, Alteryx, Tableau, Python, R, Excel, and PowerPoint.
• Experience in data analysis, gained from completing research projects or equivalent coursework in an undergraduate degree in a quantitative field.
• Demonstrated ability to work independently with extensive experience in data analysis, gained through independent research projects or advanced degree coursework in a quantitative field.

Preferred qualifications, capabilities, and skills

• Intermediate proficiency in using data ETL and visualization tools such as Snowflake, Alteryx, Tableau, Python, R, Excel, and PowerPoint.
• Professional experience in data management and analytics.
• Preferably experienced in credit cards, consumer banking, or the financial field.
• Excellent foundation in quantitative analysis and data-driven decision-making.

***Hybrid role, requires 3 days in office and no relocation support is offered 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, 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