This listing doesn't post a salary. Most similar roles pay
$140,550–$220,900.
Based on 240 similar postings.
Employer
About Goldman Sachs
Goldman Sachs is a leading global investment banking, securities, and investment management firm providing financial services to corporations, financial institutions, governments, and individuals.
Goldman Sachs currently has
142 open roles
on FindRole.
Listed pay typically runs
$137,000–$250,000
across 57 roles with salary data.
The Global Banking & Markets, Private Non-Financial Risk Management, Associate role involves joining a team dedicated to providing first line of defense risk management and controls for the firm's private franchise. You will manage and improve the strategic, business environment, operational, and compliance risk profile by analyzing key risks, responding to emerging threats, and communicating findings to leadership. Daily responsibilities include monitoring risk metrics, conducting reviews to close control gaps, and driving innovation through automation and AI-driven tools. The role requires a strong analytical mindset to probe incidents and partner with business units to address residual risks. Preferred skills include experience in non-financial risk disciplines like operational risk or audit, along with proficiency in Python, VBA, data visualization platforms, and machine learning applications to streamline reporting and enhance the overall control environment for the firm's private clients.
Monitor and report on key risk metrics while identifying opportunities for automated reporting and AI-driven analytics.
Prepare and present commercially effective risk management conclusions to senior management and stakeholders.
Investigate incidents to assess residual risks and partner with business units to resolve identified issues.
Conduct targeted risk reviews to identify and close gaps in the existing control environment.
Challenge current risk and control frameworks to improve the overall risk profile across business boundaries.
Implement automation solutions and leverage machine learning to streamline risk processes and improve data quality.
Collaborate with global risk managers to share best practices and develop integrated risk solutions.
What we're looking for
A 4-year degree in a finance, accounting, or quantitative discipline is required.
A graduate degree in a related subject is preferred.
1-3 years of professional experience in risk management, public accounting, consulting, internal audit, or as a regulatory agency examiner is required.
Experience within non-financial risk disciplines such as operational risk, enterprise risk, compliance, or audit is preferred.
Experience with automation tools, scripting languages (Python, VBA), data visualization platforms, or AI/machine learning in a risk context is preferred.
Strong analytical skills and the ability to learn new business and system processes quickly are required.
Excellent verbal and written communication skills to articulate problems and ideas to various stakeholders are required.
A strong risk and control mindset with an innovative approach to identifying automation opportunities is preferred.