Quant Analytics Associate – Point of Sales Capabilities

JPMorgan Chase & Co.; Columbus (OH); On-site; USD 110,000 - 140,000; Full time

Benefits offered by this job

Health care coverage

On-site health and wellness centers

Retirement savings plan

Tuition reimbursement

Mental health support

Financial coaching

Job summary

JPMorgan Chase & Co. is seeking a Quant Analytics Associate for its Point of Sale Capabilities team in Columbus, OH. The role focuses on using data and technology to prevent fraud, advance machine learning models, and modernize authorization platforms.

You will work with cross-line-of-business partners to drive benefits in fraud prevention, identify new data sources, and improve analytic techniques. The ideal candidate will be a self-driven problem solver capable of analyzing big data, designing

Qualifications

• MS degree with 3 years Risk Management or other quantitative experience
• BS degree with minimum 5 years Risk Management or other quantitative experience
• Proven track record in solving business problems, and/or Project Management Skills — well-organized, structured approach.
• Advanced understanding of SAS, SQL, and Python

Responsibilities

• Understand the full lifecycle of a point of sale transaction, identify improvement opportunities and execute on them
• Contribute to key technical projects by making design recommendations and ensuring that all business needs are met
• Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics that support key business decisions
• Partner with the CCB Risk Modeling team to advance our machine learning models by improving modeling techniques, identifying new variables, and improving the model update cycle
• Seek to improve internal analytical techniques and introduce best practices to help improve on key business metric and the ability to work collaboratively with cross-functional partners to understand and address key business challenges
• Identify business opportunity by performing well thought analysis – data mining, ensuring data integrity, synthesizing, and communication findings to senior management
• Provide clear and concise oral and written communication across various functions and levels, inclusive of Operations, IT, and Risk Management, including Interpreting large amounts of complex data to formulate problem statement, concise conclusions regarding underlying risk dynamics, trends, and opportunities as well as performing ad hoc analysis and deliver updates on key projects to leadership teams

Skills

SAS

SQL

Python

Data analysis

Communication

Education

MS degree in a quantitative field

BS degree in a quantitative field

Job description

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 to help stop fraud and keep payments safe. If you enjoy solving problems and working with big data, you’ll thrive in this collaborative and innovative environment.

As a Quant Analytics Associate on the Point of Sale Capabilities team you will join a forward thinking team that seeks to prevent plastics fraud through innovating analytics, advancing machine learning models, and modernizing authorization platforms. Work with cross line of business partners to drive benefits in all aspects of fraud prevention through advancing technology capabilities, identifying new data sources, and improving analytic techniques. The ideal candidate should be a self-driven problem solver that is capable of analyzing big data, understanding complex systems, identifying opportunities, creating solutions and leading large scale projects

Job Responsibilities

• Understand the full lifecycle of a point of sale transaction, identify improvement opportunities and execute on them


• Contribute to key technical projects by making design recommendations and ensuring that all business needs are met


• Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics that support key business decisions


• Partner with the CCB Risk Modeling team to advance our machine learning models by improving modeling techniques, identifying new variables, and improving the model update cycle


• Seek to improve internal analytical techniques and introduce best practices to help improve on key business metric and the ability to work collaboratively with cross-functional partners to understand and address key business challenges


• Identify business opportunity by performing well thought analysis – data mining, ensuring data integrity, synthesizing, and communication findings to senior management


• Provide clear and concise oral and written communication across various functions and levels, inclusive of Operations, IT, and Risk Management, including Interpreting large amounts of complex data to formulate problem statement, concise conclusions regarding underlying risk dynamics, trends, and opportunities as well as performing ad hoc analysis and deliver updates on key projects to leadership teams

Required qualifications, capabilities, and skills

• MS degree with 3 years Risk Management or other quantitative experience or


• BS degree with minimum 5 years Risk Management or other quantitative experience


• Proven track record in solving business problems, and/or Project Management Skills — well-organized, structured approach. Ability to achieve tight timelines on complex deliverables


• Advanced understanding of SAS, SQL, and Python


• Proven ability to query large amounts of data and transform the raw data into actionable management information


• Strong communication and interpersonal skills with ability to interact with individuals across departments / functions and with senior-level executives

Preferred Qualifications, Capabilities, and Skills

• Strong analytical and problem-solving abilities


• Experience delivering recommendations to management


• Familiarity with risk analytic techniques preferred

To be eligible for this position, you must be authorized to work in the United States. We do not offer any type of employment-based immigration sponsorship for this position. Likewise, JPMorganChase will not provide any assistance or sign any documentation in support of any other form of immigration sponsorship or benefit including optional practical training (OPT) or curricular practical training (CPT).

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.