Applied AI ML Sr Associate
Mumbai, Maharashtra, India
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingManage the end-to-end lifecycle of vendor fraud models, including onboarding, reviews, upgrades, ongoing monitoring, annual assessments, and remediation activities.
Partner with Product, Risk Strategy, Vendors, Compliance, Legal, and Model Risk Governance & Review (MRGR) teams to support model onboarding and governance.
Monitor model performance, manage Model Risk Issues (MRIs) and action plans, and ensure compliance with governance requirements.
From the employer’s posting
Key responsibilities: Manage the end-to-end lifecycle of vendor fraud models, including onboarding, reviews, upgrades, ongoing monitoring, annual assessments, and remediation activities. Partner with Product, Risk Strategy, Vendors, Compliance, Legal, and Model Risk Governance & Review (MRGR) teams to support model onboarding and governance.
Manage the end-to-end lifecycle of vendor fraud models, including onboarding, reviews, upgrades, ongoing monitoring, annual assessments, and remediation activities. Partner with Product, Risk Strategy, Vendors, Compliance, Legal, and Model Risk Governance & Review (MRGR) teams to support model onboarding and governance. Prepare and coordinate model documentation, governance submissions, Fair Lending reviews, and MRGR reviews.
Prepare and coordinate model documentation, governance submissions, Fair Lending reviews, and MRGR reviews. Monitor model performance, manage Model Risk Issues (MRIs) and action plans, and ensure compliance with governance requirements. Evaluate business benefits, risks, and impacts of vendor models and provide actionable insights to senior leadership.
Education & alternatives
Desired profile: - Advanced degree (MS or PhD) in a quantitative discipline such as Statistics, Mathematics, Computer Science, Econometrics, Operations Research, or Physics. - 5+ years of experience in predictive risk modeling and/or model governance within financial services.
Job description
This role sits within CCB Risk Management and is responsible for leading the governance and oversight of vendor fraud models used across the Consumer & Community Banking (CCB) business.
Key responsibilities:
- Manage the end-to-end lifecycle of vendor fraud models, including onboarding, reviews, upgrades, ongoing monitoring, annual assessments, and remediation activities.
- Partner with Product, Risk Strategy, Vendors, Compliance, Legal, and Model Risk Governance & Review (MRGR) teams to support model onboarding and governance.
- Prepare and coordinate model documentation, governance submissions, Fair Lending reviews, and MRGR reviews.
- Monitor model performance, manage Model Risk Issues (MRIs) and action plans, and ensure compliance with governance requirements.
- Evaluate business benefits, risks, and impacts of vendor models and provide actionable insights to senior leadership.
- Lead discussions around model selection, usage rationale, contingency planning, and strategic risk management.
Desired profile:
- Advanced degree (MS or PhD) in a quantitative discipline such as Statistics, Mathematics, Computer Science, Econometrics, Operations Research, or Physics.
- 5+ years of experience in predictive risk modeling and/or model governance within financial services.
- Strong understanding of MRGR, model risk management, Fair Lending reviews, and governance processes.
- Experience in fraud risk modeling and stakeholder management across multiple functions.
- Excellent communication skills and ability to influence senior stakeholders.
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
Complete your application on jpmc.fa.oraclecloud.com. The employer’s form will show what is required.
Already applied? Track this application
Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Mumbai, Maharashtra, India
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Oct 8, 2026
- Recorded sightings
- 1
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Report an errorSee how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.