Associate, Risk Governance

AgUpdate; Dallas (TX); Presencial; USD 110.000 - 160.000; Jornada completa

Descripción de la vacante

Goldman Sachs Bank USA in Dallas, TX is seeking an Associate in Risk Governance to enhance fraud detection performance and uncover new fraud patterns using advanced data analytics tools. The role involves supporting the execution of fraud analytics, risk models, rules, and reporting to strengthen governance and controls.

Candidates should have a Master’s or Bachelor’s degree in a relevant field and 1–2 years of related experience, including SQL and MS Office proficiency and some exposure to

Formación

• Requires Master’s or Bachelor’s degree in Mathematics, Statistics, Economics, Finance, Information Technology and Management, or related field.
• 1 year (Master’s) or 2 years (Bachelor’s) of experience in fraud analytics, risk models, or related roles.
• Experience using data analytics tools to design fraud detection strategies and derive insights from structured and unstructured data.
• Experience detecting fraud in ACH, wires, real-time payments, and deposits; knowledge of SQL and MS Office tools; and familiarity with ML algorithms for fraud detection.

Responsabilidades

• Improve fraud detection performance and uncover new fraud patterns using advanced analytics.
• Provide deep qualitative and quantitative insights from data analytics tools.
• Support execution of fraud analytics, risk models, rules, and reporting.

Conocimientos

Data analytics

SQL

Excel

PowerPoint

Machine learning

Fraud detection

Educación

Master's degree in Mathematics/Statistics/Economics/Finance/Information Technology and Management

Bachelor's degree in Mathematics/Statistics/Economics/Finance/Information Technology and Management

Herramientas

SQL

Microsoft Excel

Microsoft Word

Microsoft PowerPoint

Descripción del empleo

Associate, Risk Governance

Goldman Sachs Bank USA

Dallas, TX

Improve fraud detection performance, uncover new fraud pattern, and provide deep qualitative and quantitative insights leveraging advanced data analytics tools and skills. Support the execution of fraud analytics, risk models, rules, and reporting. Requires: Master's degree (U.S. or foreign equivalent) in Mathematics, Statistics, Economics, Finance, Information Technology and Management, or a related field, and one (1) year of experience in the job offered or in a related role OR Bachelor's degree (U.S. or foreign equivalent) in Mathematics, Statistics, Economics, Finance, Information Technology and Management, or a related field, and two (2) years of experience in the job offered or in a related role. Prior employment must include one (1) year of experience (with a Master's) OR two (2) years of experience (with a Bachelor's) with: utilizing data analytics tools and platforms to design fraud detection strategies; deriving key insights and signals from structured and unstructured data; detecting fraud in transaction categories including ACH, wires, real time payments, and deposits; utilizing SQL, and Microsoft Excel, Word, and PowerPoint to perform fraud pattern analytics and fraud strategy design; and machine learning algorithms for fraud detection. Job Code: 10261170

Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veteran status, disability, or any other characteristic protected by applicable law.