Ladders
Staff Machine Learning Model Risk Specialist
Skills
2 months ago
Share this opportunity
Share this opportunity to other talents of your network:
✓ Offer them a visibility boost with clients.
✓ Help your contacts find their next job.
Important information
Contract type:
Permanent
Location:
United States
Work mode:
Onsite
Published on:
25 August 2026
What they need
For our client, we are seeking a Staff Machine Learning Model Risk Specialist to join the team of a leader in the Finance & Insurance space. This role will lead work at the intersection of data, AI-enabled capabilities, and scalable technology delivery. You will work across engineering, product, operations, and business stakeholders to translate complex requirements into practical technology solutions. The position offers the opportunity to influence architecture, execution quality, and the technology capabilities that enable long-term growth within a regulated financial services environment.
Location: Remote - US based candidates only, no visa sponsorship available
Compensation: $157,000 – $217,500 annually
Responsibilities
- Partner with teams to manage accurate inventories, risk assessments, and governance materials for models and GenerAI applications
- Review methodologies and data inputs to identify areas needing further analysis
- Apply a risk-based approach to assess quantitative methods and technologies
- Conduct model risk assessments and monitoring reviews to meet internal and regulatory standards
- Develop governance strategies for evolving technologies like machine learning and GenAI applications
- Respond to inquiries from regulators and external stakeholders regarding models and GenAI issues
- Track model risk issues and recommend improvements as risks and inventory evolve
Qualifications
- Master's degree in a quantitative field (finance, mathematics, economics, statistics)
- 4+ years in model risk management, validation, governance, machine learning, or related field
- Internship or project experience in model risk management, validation, machine learning, or data science
- Basic understanding of AI/ML methodologies (e.g., tree-based models, neural networks)
- Familiarity with Generative AI applications
- Proficient in coding (R, Python, Matlab)
Benefits
- Competitive compensation with base pay and bonuses
- 401(k) with company match up to $15,000 annually in the US
- Employee Stock Purchase Plan (ESPP) with discounted stock options
- Comprehensive health coverage (medical, dental, vision)
- Paid time off, sick leave, and company holidays
- Paid family and parental leave for caregiving needs
- Mental health support through Employee Assistance Program (EAP)
- Annual wellness and productivity allowance for personal development
Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.
Other offers great for you!
These companies are also looking for great profiles
Skiils
Machine Learning Engineer / MLOps Senior
Freelance
Paris, France
Hybrid
Skills
4 months ago
Quick apply
Mobiskill
Machine Learning Engineer
450
Freelance
Remote
Top Recruiter
Skills
12 days ago
Quick apply
Theodo
Machine Learning Engineer / ML Engineer
480 - 580
Freelance
Paris, France
Hybrid
Skills
7 days ago
Quick apply
No company information available.