Quant Analytics Associate - Point of Sales

JOB DESCRIPTION

Step into an exciting role as a Quant Analytics Associate on our Point of Sale Capabilities team, where you’ll use data and technology for the Trust and Securities Team.  If you enjoy solving problems and working with big data, you’ll thrive in this collaborative and innovative environment. 

As a Quantitative Analytics Associate in the Point of Sale Central Analytics Team in Trust and Securities, you will join a forward-thinking team that seeks to prevent plastics fraud through data-driven analysis. You will develop and advance reporting dashboards, optimize data consumption practices, and work with cross-business partners to promote benefits in all aspects of fraud prevention. Your role will involve analyzing big data, understanding complex systems, identifying opportunities, and creating solutions. We are looking for a self-driven problem solver with a strong sense of ownership
 

Job Responsibilities:

• Gain a thorough understanding of the full lifecycle of a point-of-sale transaction to deliver timely, efficient, and fit-for-purpose solutions.
• Analyze large datasets to identify patterns, trends, and anomalies that may indicate fraudulent activity.
• Build, develop, and maintain reporting systems, data automation systems, and dashboards to communicate findings and insights to leadership for strategic decision-making.
• Support the modernization of reporting infrastructure on the cloud by performing ad hoc analyses to ensure data integrity and communicating progress to senior management.
• Seek to enhance internal analytical techniques and introduce best practices to improve key business metrics.
• Work independently and collaboratively with cross-functional partners to complete analytical tasks, beginning with problem identification, analyzing large and complex data, and formulating concise conclusions with actionable recommendations

Required qualifications, capabilities, and skills

• MS degree with 3 years of experience in Risk Management or another quantitative field, or
• BS degree with a minimum of 5 years of experience in Risk Management or another quantitative field.
• Strong background in statistics, mathematics, or a related quantitative field.
• Hands-on experience with SAS, SQL, and Alteryx.
• Advanced knowledge of Tableau or equivalent data visualization platforms.
• Ability to query large datasets and transform raw data into actionable insights.
• Strong communication and interpersonal skills, with the ability to interact effectively with individuals across departments/functions, including senior-level executives.

Preferred Qualifications, Capabilities, and Skills:

• Python programming skills
• Familiarity with data mining and other advanced analytics techniques

This role is NOT eligible for any visa sponsorship/support now or in the future.

This role is full time in office 5 days a week; not remote nor hybrid.

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.