Quant Analyst-Senior Associate

JOB DESCRIPTION

Drive the future of data-driven decision making—join us to transform raw information into actionable insights that power business innovation.

As a Quant Analyst on the Commerce Enablement Analytics Team, you will work closely with Product Owners to deliver insights in terms of descriptive, diagnostic, predictive, and prescriptive analytics with a focus on Controls, Risk, and Regulatory areas.  You’ll build consensus with Product Owners on if, where, when, how, and whom to drive customer engagement by defining metrics, sourcing data, developing queries, and creating reports. 

You’ll need to combine analytic skills with specific domain knowledge to make data actionable and allow for ease of consumption. You’ll translate between analytic and non-analytic groups as well as facilitate holistic, cross-functional learning. 

Job Responsibilities

• Understand and translate business needs into data models supporting long-term solutions
• Create data points using best practices to ensure high data quality and reduced redundancy
• Rationalize complex normalized data sets allowing for ease of cross org consumption
• Partner closely and collaborate with Product teams, Data management teams, Strategy teams, Technology Teams and broader D&A organization resources across multiple functional units to understand business requirements and objectives
• Translate data into meaningful insights and present a compelling story to stakeholders for decision making
• Bring in experience in the production, optimization and automation of recurrent reports
• Collaborate, learn, teach and disseminate knowledge across the Data & Analytics community.

Required Qualifications, Skills, and Capabilities

• BS Degree in quantitative or related field

• 3+ years of work experience across broad range of analytics technologies and tools in a big data environment 

• Intermediate knowledge of SQL, Alteryx and Tableau
• Experience with Hadoop, Teradata, Oracle and SQL DBs
• Adept at explaining and converting complex concepts into digestible information to be consumed by audiences of varying levels of expertise
• Intellectually curious and eager to learn new things with an eye for innovation
• Able to demonstrate initiative and complete projects/tasks independently
• Highly organized and able to impact multiple tasks
• Good written and oral communication skills 
• Operational business knowledge of processes, data, controls, and technology platforms
• Knowledge of Cloud (AWS, Snowflake) based data solutions and tools

Preferred Qualifications, Skills, and Capabilities

• Basic skills with JIRA, Confluence, and Adobe Analytics

• Functional industry experience in operations, marketing, credit/risk, technology or finance
• Intermediate knowledge of Machine Learning
• Strong SQL skills with the ability to pull data using multiple joins, sub-queries, and advanced functions in an enterprise-scale database environment (Teradata, Hadoop, AWS, etc.)
• Experience with business intelligence and data wrangling tools such as SAS EG, SAS Viya, Python, Snowflake and Alteryx is key
• Competent using visualization techniques for data analysis and presentation (Tableau preferred)

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.