Compliance, Financial Crime Controls- 1st Line Risk, Associate, Richardson TX

Global Compliance

Our division prevents, detects and mitigates compliance, regulatory and reputational risk across the firm and helps to strengthen the firm's culture of compliance. Compliance accomplishes these through the firm's enterprise-wide compliance risk management program. As an independent control function and part of the firm's second line of defense, Compliance assesses the firm's compliance, regulatory and reputational risk; monitors for compliance with new or amended laws, rules and regulations; designs and implements controls, policies, procedures and training; conducts independent testing; investigates, surveils and monitors for compliance risks and breaches; and leads the firm's responses to regulatory examinations, audits and inquiries. You'll be part of a team with members from a wide range of academic and professional backgrounds, such as law, accounting, sales, and trading. We look for those who possess sound judgment, curiosity, and are able to adapt to a changing regulatory landscape.

Job Summary & Responsibilities

Financial Crime Compliance ("FCC") coordinates Goldman Sachs' enterprise-wide anti-money laundering (AML), economic sanctions and anti-bribery compliance efforts. The combined FCC team, which is composed of professionals with extensive law enforcement, regulatory, legal, compliance, forensic consulting, operations and business experience, administers an array of surveillances, due diligence, investigative expertise and other control processes designed to identify potential money laundering, terrorist financing, bribery, securities fraud and other violations of law.

The Financial Crime Compliance team is seeking an Associate for a compliance role with experience in financial crime governance, metrics, and reporting. The role will support Financial Crime Compliance's First Line of Defense team. The individual will assist in designing, implementing and maintaining robust financial crime risk metrics. The role involves the collection, aggregation, analysis, and visualization of customer, product, and other data to identify trends and risk exposure across the firm's global business units.

The ideal candidate will have strong analytical skills, experience working in FCC, the ability to collaborate with others, the ability to manage projects and processes, and the ability to multi-task. In this role, the Associate will work closely with compliance, the firm's global business units, and other firmwide stakeholders as needed. The Associate would be expected to quickly gain an understanding of firm businesses and the rules and regulations under which the firm operates.

Principal Responsibilities

• Collect, aggregate, analyze, and visualize customer, product, and transaction data to identify trends and evaluate risk exposure.
• Translate qualitative risk factors into responsive risk metrics using data from BSA/AML stakeholders
• Assist in designing an enterprise-wide AML Risk Management Framework.
• Work with FCC senior management on defining key metrics and governance reporting.
• Report metrics to first line stakeholders across the firm

Basic Qualifications

• The role requires a degree (Bachelors / Masters) in a related field (Legal, Finance, Statistics, Economics, Computer Science, Applied Mathematics, Engineering, or related quantitative disciplines).
• Preferably at least 3 to 5 years working experience with data, data platforms, and data management.
• Proficiency in Excel (pivot tables, VLookups) and PowerPoint.
• Ability to communicate Compliance requirements for consumption by firmwide stakeholders.
• Experience in data analysis, including KPI/KRI development, tuning, and metrics reporting for internal/external audiences; and
• Excellent project management, communication, and analytical skills

Preferred Qualifications

• Awareness and experience working with AML trends
• Experience with Compliance governance and reporting
• Experience building and enhancing existing processes
• Technical skills (Alteryx, SQL, R, Python, Tableau)