Quant Analytics Senior Associate

hackajob*
is collaborating with
J.P. Morgan*
to connect them with exceptional tech professionals for this role.
Join us for an exciting opportunity to lead complex analytics deliveries and drive innovation within Customer Identity & Authentication product.

As a Quant Analytics Senior Associate within the Consumer and Community Banking - Customer Identity & Authentication organization, you will be responsible for supporting advanced analytics projects across various operational functions, channels, and products. Your role will be crucial in enhancing customer experience by ensuring the provision of complete insights.

Job Responsibilities

• Support and lead partnerships with key stakeholders and product groups with strong understanding of business drivers, underlying data, and processes.
• Lead the development, reporting, and visualization of performance metrics and KPIs. Use analytical tools such as trend analysis, segmentation, optimization, and other techniques to improve business function performance.
• Collaborate with the Area Product Owners to formulate quantifiable goals for measurement; advise on strategies and experimentation required to achieve business goals.
• Provide management with self-service tools to explore and report on current trends of key metrics.
• Analyze interactions across a variety of channels to better understand customer journeys, friction points, and program performance.
• Prepare and deliver presentations summarizing sharp insights and conclusions, often for executives, in regularly-scheduled analytics meetings chaired by the analyst in this role.
• Support our team's current production reporting environment, including answering questions from stakeholders, troubleshooting issues, and enhancing these processes.
• Ensure compliance with established controls and regulatory requirements in all analytics activities.
• Contribute to innovation and creativity within the team by actively proposing new ideas and approaches to improve processes and support effective solutions.
• Mentor junior analysts and continuously explore new areas within the larger team.

Required Qualifications, Skills And Capabilities

• 5+ years of related experience. Bachelor's degree in a quantitative or related field required.
• Proficiency in SQL, Python, Alteryx, AWS, Snowflake and Tableau.
• Excellent strategic thinking and problem-solving abilities.
• Strong project management skills with the ability to manage multiple projects simultaneously.
• Experience delivering analytics solutions following an Agile (Scrum or Kanban) methodology.
• Familiarity with data mining, statistical modeling, machine learning, and other advanced analytics methods.
• Robust data management skills with a focus on ensuring data quality and organization.
• Demonstrated ability to independently make the decisions and judgements necessary to deliver quality analytics solutions.
• Effective communication skills, both written and verbal.
• Strong soft skills, including adaptability, emotional intelligence, and conflict resolution.
• Demonstrated ability to analyze and solve problems, innovate, and think creatively.

Preferred Qualifications, Skills And Capabilities

• Candidates with past Fraud Risk exposure would be preferred
• Candidates should open to use and integrate AI in data to day operations

About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

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.

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.