Quant Analytics Associate - Fraud Strategy

JPMorgan Chase & Co.; Columbus (OH); On-site; USD 90,000 - 130,000; Full time

Job summary

JPMorgan Chase & Co. in Columbus, OH, is seeking a Quant Analytics Associate for the Fraud Strategy team. You will manage fraud risk strategies, perform complex analyses, and translate findings into actionable rules and policies for prevention at the point of sale.

You will collaborate with Risk, Operations, and Technology, present to managers and executives, and contribute to building detection tools while balancing customer impact in a fast-paced environment.

Qualifications

• Bachelor's degree in a quantitative discipline.
• 4+ years’ experience in fraud, risk, payments or related field in financial services.
• Proven problem-solving skills with ability to meet tight timelines.
• SQL, SAS, Teradata, Oracle, Alteryx, Snowflake, Python and MS Office skills.
• Strong communication and stakeholder management skills.

Responsibilities

• Interpret large amounts of data to identify risk dynamics and opportunities.
• Develop and implement fraud strategies to protect the bank from losses and improve customer experience at POS.
• Identify risk indicators, develop metrics, enhance reporting, and explore new analytic focus areas.
• Provide SME on strategy implementation and risk mitigation processes.
• Collaborate with cross-functional partners and communicate findings to senior management.

Skills

SQL

SAS

Python

Excel

Data analysis

Communication

Education

Bachelor's degree in quantitative discipline

Tools

Teradata

Snowflake

Alteryx

Oracle

MS Office

Job description

Join our Fraud Strategy team to detect emerging fraud patterns and translate complex data into strategies that prevent losses and protect customers. You’ll partner across Risk, Operations, and Technology to build and test detection tools, sharpen key risk indicators, and deliver insights that drive decisions at senior levels.

As a Quant Analytics Associate on the Consumer & Community Banking Fraud Strategy team, you will manage fraud risk strategies and perform complex risk analyses with the objective of reducing fraud related losses while balancing customer impact. You will also frequent interaction and communication with cross-functional partners and presentation to managers and executives. You will excel at creative thinking and problem solving, be self-motivated, confident, and ready to work in a fast-paced energetic environment.

Job Responsibilities:

• Interpret large amounts of complex data to formulate problem statement, concise conclusions regarding underlying risk dynamics, trends, and opportunities
• Manage, develop, communicate, and implement optimal fraud strategies (including rules, cutoffs, policies, operational flows, etc.) to protect the bank from fraud related losses and improve customer experience at Point of Sale
• Identify key risk indicators and metrics, develop key metrics, enhance reporting, and identify new areas of analytic focus to better capture fraud.
• Provide subject matter expertise on strategy implementation/testing and initiatives related to the improvement of risk mitigation processes and infrastructure
• 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 communicating findings to senior management
• Assist team efforts in the critical development of new fraud pattern or spending pattern detection tools
• Providing clear/concise oral and written communication across various functions and levels, inclusive of Operations, IT, and Risk Management

Required Qualifications, skills, and capabilities:

• Bachelor's degree in a quantitative discipline
• Relatable work experience in a financial services organization, 4 or more years’ experience in fraud/risk/payments or related field
• Proven track record in solving business problems, AND/OR, Project Management Skills -- well-organized, structured approach. Ability to achieve tight timelines on complex deliverables.
• Required technical skills may include SQL, SAS, Teradata, Oracle, Alteryx, Snowflake, Python and MS Office related products including Excel (Pivot tables, charts / graphs and formulas).
• Must be a team player; Excellent relationship management skills
• Self-starter with ability to drive for resolution
• Strong communication and interpersonal skills with ability to interact with individuals across departments / functions and with senior-level executives

Preferred Qualifications, skills, and capabilities:

• Master's degree (OR related work experience) in a quantitative discipline preferably in a financial services organization plus 2 or more years’ experience in fraud/risk/payments or related field

Additional information:

• Visa sponsorship is not available for this position.
• Work schedules will be full-time in office, on a 40-hour per week schedule.