Data Scientist-Senior Associate 210767245

JPMorgan Chase & Co.; Plano (TX); On-site; USD 120,000 - 160,000; Full time

Job summary

JPMorgan Chase & Co. in Plano, TX is seeking a Data Scientist Senior Associate in the Fraud Strategy team. You will identify and mitigate fraud risks, leveraging analytics to drive end-to-end solutions and strategic recommendations across underwriting, portfolio management, and collections.

The role emphasizes independent project leadership, deep data analysis, and clear communication with management and stakeholders to support data-driven decisions and risk management.

Qualifications

• Bachelor’s degree in finance, economics, statistics, or a quantitative field.
• Minimum 3 years of experience in Fraud Strategy, analytics, or a quantitative discipline.
• Strong background in statistics, econometrics, or related quantitative methodologies.
• Advanced proficiency in SAS, SQL, and spreadsheet tools; ability to query and manipulate large datasets to generate actionable insights.
• Demonstrated ability to drive complex projects independently, managing multiple priorities and delivering results.
• Strong analytical and problem-solving skills, with a keen attention to detail.
• Excellent written and verbal communication skills; proven ability to present complex analyses and recommendations to management and stakeholders.

Responsibilities

• Develop, maintain, and enhance analytics to provide management with comprehensive insights into fraud trends and account quality.
• Analyze key performance metrics and profitability drivers across the full account lifecycle, delivering actionable recommendations to inform strategy and operational decisions.
• Gain a deep understanding of operational processes to identify and address fraud risk drivers.
• Lead and execute complex projects independently, from initial analysis through implementation and performance monitoring.
• Conduct ad hoc analytics and contribute to cross-functional initiatives, representing the Fraud Strategy team in collaborative efforts.
• Communicate findings and recommendations clearly to stakeholders at all levels, supporting data-driven decision making.

Skills

Strong statistics

Econometrics

SQL

SAS

Spreadsheet tools

Data wrangling

Communication skills

Education

Bachelor’s degree in finance, economics, statistics, or a quantitative field

Master’s degree in a quantitative field

Tools

SAS

SQL

Excel

Job description

The Trust & Safety (T&S) Fraud Risk Management organization protects Merchant Services (MS) from fraud and compliance-related losses by providing detection tooling and operating strategy. The Fraud Strategy team serves as the end-to-end operating partner for the MS business: managing fraud rules and loss prevention with business growth, and owning the full fraud lifecycle — onboarding strategy, monitoring, loss analysis, controls, and product launch governance — while embedding fraud considerations early in product design and execution.

As a Data Scientist Senior Associate within the Fraud Strategy team, you will play a critical role in identifying and mitigating fraud risks, leveraging your analytical expertise to promote impactful strategies and deliver end-to-end solutions.

Job Responsibilities

• Develop, maintain, and enhance analytics to provide management with comprehensive insights into fraud trends and account quality.
• Analyze key performance metrics and profitability drivers across the full account lifecycle, delivering actionable recommendations to inform strategy and operational decisions.
• Gain a deep understanding of operational processes (e.g., underwriting, portfolio management, collections) to identify and address fraud risk drivers.
• Lead and execute complex projects independently, from initial analysis through implementation and performance monitoring.
• Conduct ad hoc analytics and contribute to cross-functional initiatives, representing the Fraud Strategy team in collaborative efforts.
• Communicate findings and recommendations clearly to stakeholders at all levels, supporting data-driven decision making.

Required Qualifications, Capabilities, and Skills

• Bachelor’s degree in finance, economics, statistics, or a quantitative field.
• Minimum 3 years of experience in Fraud Strategy, analytics, or a quantitative discipline.
• Strong background in statistics, econometrics, or related quantitative methodologies.
• Advanced proficiency in SAS, SQL, and spreadsheet tools; ability to query and manipulate large datasets to generate actionable insights.
• Demonstrated ability to drive complex projects independently, managing multiple priorities and delivering results.
• Strong analytical and problem-solving skills, with a keen attention to detail.
• Excellent written and verbal communication skills; proven ability to present complex analyses and recommendations to management and stakeholders.

Preferred Qualifications, Capabilities, and Skills

• Master’s degree in a quantitative field.
• At least 1 year of experience in Risk Management, Fraud Strategy, or analytics within financial services.