Fraud Strategy Quant Analytics Associate I

JPMorganChase

Wilmington (DE)

On-site

USD 110,000 - 160,000

Full time

26 hours ago
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Job summary

JPMorganChase seeks a Quantitative Analytics Associate for the CCB Fraud Prevention Optimization Strategy team to reduce fraud costs while protecting customers. You will leverage complex analyses and business insights to drive sustainable improvements and interact with cross-functional partners, including senior leadership.

The role emphasizes applying data-driven strategies and advanced techniques, with opportunities to impact fraud workflows and customer experience across the card lifecycle.

Qualifications

  • Bachelor's degree in a quantitative field or 3 years risk management or other quantitative experience.
  • Background in Engineering, statistics, mathematics, or another quantitative field.
  • Advanced understanding of Python, SAS, and SQL.
  • Query large amounts of data and transform into actionable recommendations.
  • Strong analytical and problem-solving abilities.
  • Experience delivering recommendations to leadership.
  • Self-starter with ability to execute quickly and effectively.
  • Strong communication and interpersonal skills with ability to interact with individuals across departments/functions and with senior level executives.

Responsibilities

  • Interpret and analyze complex data to formulate problem statements, trends, and opportunities.
  • Use advanced analytical techniques to solve complex business problems.
  • Develop and implement optimal fraud strategies to reduce losses and improve customer experience.
  • Identify key risk indicators, metrics, and reporting, and challenge current practices.
  • Provide data insights and performance updates to business partners.
  • Collaborate with cross-functional teams to solve key business challenges.
  • Support critical projects with clear oral and written communication across functions.
  • Champion the usage of latest technology, including large language models, to drive value at scale.

Skills

Python
SAS
SQL
Analytical thinking

Education

Bachelor's degree in a quantitative field

Tools

AWS
Snowflake

Job description

Job Description

Are you interested in joining a dynamic team? Become a Quantitative Analytics Associate on our Consumer and Community Banking (CCB) Fraud Prevention Optimization Strategy team to reduce cost of fraud and improving customer experience. The breadth of experiences, learnings, and connections in this role will enable your growth and development. To excel, you'll be highly motivated, highly analytical, extremely detail oriented, and an exceptional problem solver who takes pride in being part of an organization that owns customer issues from beginning to end and delivers accurate, timely solutions.

Job Description

Are you interested in joining a dynamic team? Become a Quantitative Analytics Associate on our Consumer and Community Banking (CCB) Fraud Prevention Optimization Strategy team to reduce cost of fraud and improving customer experience. The breadth of experiences, learnings, and connections in this role will enable your growth and development. To excel, you'll be highly motivated, highly analytical, extremely detail oriented, and an exceptional problem solver who takes pride in being part of an organization that owns customer issues from beginning to end and delivers accurate, timely solutions.

As a Fraud Strategy Quant Analytics Associate I, you will focus on reducing cost of fraud, through complex analyses combined with business insights and collaboration. Our objective is reducing losses and / or operating expenses while balancing customer impact through optimizing business processes and decisioning. Team members will frequently interact and communicate with cross-functional partners and present complex analysis succinctly to managers and executives. This role provides an opportunity to be part of a dynamic team that is instrumental in protecting the bank by leveraging complex analytics and new tools like large language models to deliver sustainable, hard hitting business improvements.

Job Responsibilities
  • Interpret and analyze complex data to formulate problem statement, provide concise conclusions regarding underlying risk dynamics, trends, and opportunities.
  • Use advanced analytical & mathematical techniques to solve complex business problems.
  • Manage, develop, communicate, and implement optimal fraud strategies to reduce fraud related losses and improve customer experience across credit card fraud lifecycle.
  • Identify key risk indicators, develop key metrics, enhance reporting, and identify new areas of analytic focus to constantly challenge current business practices.
  • Provide key data insights and performance to business partners.
  • Collaborate with cross-functional partners to solve key business challenges.
  • Assist team efforts in the critical projects while providing clear/concise oral and written communication across various functions and levels.
  • Champion the usage of latest technology and tools, such as large language models, to drive value at scale across business organizations.
Required Qualifications, Capabilities, And Skills
  • Bachelor's degree in a quantitative field or 3 years risk management or other quantitative experience
  • Background in Engineering, statistics, mathematics, or another quantitative field
  • Advanced understanding of Python, SAS, and SQL
  • Query large amounts of data and transform into actionable recommendations.
  • Strong analytical and problem-solving abilities
  • Experience delivering recommendations to leadership.
  • Self-starter with ability to execute quickly and effectively.
  • Strong communication and interpersonal skills with ability to interact with individuals across departments/functions and with senior level executives
Preferred Qualifications, Capabilities, And Skills
  • MS degree in a quantitative field or 2 or more years risk management or other quantitative experience.
  • Hands on Knowledge of AWS and Snowflake.
  • Advanced analytical techniques like Machine Learning, Large Language Model Prompting or Natural Language Processing will be an added advantage.

This role is not eligible for visa sponsorship now or in the future. Sponsorship includes, but is not limited to, support for I-983 training plans, F-1/OPT or CPT, H-1B, and any other employment authorization or immigration-related action requiring JPMorganChase sponsorship or intervention

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.

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