Model Risk Associate - AI Risk Management

Ladders; United States; Remote; USD 118,000 - 222,000; Full time

Benefits offered by this job

Medical insurance

Dental/vision insurance

PTO and holidays

401(k) plan

Job summary

Ladders is seeking a Model Risk Associate - AI Risk Management to advance AI risk in a regulated financial services environment. Remote work available for US-based candidates.

You will lead analytics projects, analyze data trends, visualize findings, and advise leadership on analytics strategies that support responsible use of AI/ML in business decisions. The role requires 5–7 years of analytics experience and strong SQL/Python skills, with cross-functional collaboration.

Qualifications

• 5–7 years of experience in advanced analytics or related field.
• Strong understanding of AI/ML and generative AI systems.
• Proficient in SQL and Python.
• Experience in project management and leading analytics projects.
• Excellent verbal and written communication skills.
• Ability to work collaboratively with cross-functional teams.
• Education in statistics, actuarial science, engineering, or related quantitative field preferred.

Responsibilities

• Lead advanced analytics projects and consult with business partners to define project scope.
• Analyze trends in structured and unstructured data to provide actionable insights.
• Package and communicate analytic findings using data visualizations.
• Collaborate with leadership to develop analytics strategies aligned with business objectives.
• Design analytics solutions tailored to business needs using statistical tools.
• Review and provide feedback on analytic solution designs to team members.
• Build and manage relationships as a trusted advisor to clients and partners.

Skills

AI/ML

Generative AI

SQL

Python

Project management

Communication

Cross-functional collaboration

Education

Statistics

Actuarial science

Engineering

Quantitative field

Job description

For our client, we are seeking a Model Risk Associate - AI Risk Management to join the team of a leader in the Finance & Insurance space.

This role will focus on advancing AI and machine learning risk management within a highly regulated financial services environment. You will lead analytics initiatives that help business leaders understand model behavior, assess emerging risks, and translate complex findings into practical guidance. The position partners closely with cross-functional stakeholders to shape analytic solutions, improve decision-making, and support responsible use of advanced technologies.

Location: Remote - US based candidates only, no visa sponsorship available

Compensation: $118,000 – $222,000 annually

Responsibilities

• Lead advanced analytics projects and consult with business partners to define project scope


• Analyze trends in structured and unstructured data to provide actionable insights


• Package and communicate analytic findings using appropriate data visualizations


• Collaborate with leadership to develop analytics strategies aligned with business objectives


• Design analytics solutions tailored to business needs using statistical and programming tools


• Review and provide feedback on analytic solution designs to team members


• Build and manage relationships as a trusted advisor to clients and partners

Qualifications

• 5-7 years of experience in advanced analytics or a related field


• Strong understanding of AI/ML and generative AI systems


• Proficient in SQL and Python programming languages


• Experience in project management and leading analytics projects


• Excellent verbal and written communication skills


• Ability to work collaboratively with cross-functional teams


• Education in statistics, actuarial science, engineering, or a related quantitative field preferred

Benefits

• Medical, dental, and vision insurance


• Life insurance and disability coverage


• Minimum of 18 days paid time off per year


• Nine paid holidays and additional paid time off for special occasions


• 401(k) plan with company match


• Company-paid pension plan


• Business casual work environment

Our client is an equal opportunity employer.