Quantitative Analytics Associate - Fraud Prevention Optimization Strategy
hackajob · Columbus, OH
- On site
- Full-time
- $100,000 / year
- Columbus, OH
Job highlights
- Reduce fraud costs and improve customer experience.
- Analyze complex data using advanced techniques.
- Develop and implement fraud prevention strategies.
- Collaborate with cross-functional teams.
- Utilize new tools like LLMs for impact.
About the role
Quantitative Analytics Associate Fraud Prevention Optimization Strategy
hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role.
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 Quant Analytics Associate I in our Fraud Prevention Optimization team you will focus on reducing cost of fraud, through complex analyses combined with business insights and collaboration. Your objective is reducing losses and / or operating expenses while balancing customer impact through optimizing business processes and decisioning. You will frequently interact and communicate with cross-functional partners and present complex analysis succinctly to managers and executives. You will be provided 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
- Bachelorâs 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 4 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.
ABOUT US
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the worldâs 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 applicantsâ and employeesâ 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. Weâre proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions â 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.
Key skills/competency
- Quantitative Analytics
- Fraud Prevention
- Optimization Strategy
- Data Analysis
- Python
- SAS
- SQL
- Risk Management
- Machine Learning
- Large Language Models
Skills & topics
- Quantitative Analytics
- Fraud Prevention
- Optimization Strategy
- Data Analysis
- Python
- SAS
- SQL
- Risk Management
- Machine Learning
- Large Language Models
- Associate
- Analyst
- Quantitative
- Finance
- Banking
How to get hired
- Tailor your resume: Highlight quantitative skills, Python, SAS, SQL, and leadership recommendations.
- Showcase problem-solving: Emphasize analytical and detail-oriented experience in your application.
- Demonstrate leadership potential: Mention any experience delivering recommendations to executives.
- Prepare for interviews: Be ready to discuss complex data analysis and fraud prevention strategies.
- Research J.P. Morgan: Understand their commitment to data, analytics, and customer protection.
Technical preparation
Behavioral questions
Frequently asked questions
- What are the key responsibilities for a Quantitative Analytics Associate at J.P. Morgan?
- As a Quantitative Analytics Associate on the CCB Fraud Prevention Optimization Strategy team at J.P. Morgan, you will interpret complex data, use advanced analytical techniques to solve business problems, develop and implement fraud strategies, identify key risk indicators, and collaborate with cross-functional partners. You will also champion the use of new technologies like large language models.
- What qualifications are needed for the Quantitative Analytics Associate role at J.P. Morgan?
- A Bachelor's degree in a quantitative field (Engineering, statistics, mathematics) or 3 years of risk management/quantitative experience is required. You'll need advanced knowledge of Python, SAS, and SQL, strong analytical and problem-solving skills, and experience presenting recommendations to leadership. Being a self-starter with excellent communication skills is also crucial.
- Does J.P. Morgan offer opportunities for growth in this Quantitative Analytics Associate role?
- Yes, the role emphasizes growth and development. The job description mentions that the breadth of experiences, learnings, and connections in this role will enable your growth and development. Working with complex analytics and new tools like large language models also provides significant learning opportunities.
- What kind of technologies does J.P. Morgan utilize in fraud prevention?
- J.P. Morgan utilizes advanced analytics and mathematical techniques for fraud prevention. The role specifically mentions championing the usage of latest technology and tools, such as large language models, to drive value at scale. Experience with Machine Learning, Large Language Model Prompting, or Natural Language Processing is a plus.
- How does the Quantitative Analytics Associate role contribute to J.P. Morgan's mission?
- This role directly contributes to J.P. Morgan's mission by focusing on reducing the cost of fraud and improving customer experience within the Consumer and Community Banking division. By optimizing business processes and decisioning, the associate helps protect the bank and its customers from financial losses, aligning with the company's role as a leader in providing innovative financial solutions.
- What is the expected work arrangement for the Quantitative Analytics Associate position at J.P. Morgan?
- While the job description doesn't explicitly state the work arrangement (remote, hybrid, or on-site), such quantitative and analytical roles within large financial institutions often involve a hybrid or on-site model to facilitate collaboration and access to internal systems. Candidates should inquire during the interview process for clarification.