TL;DR

Risk Manager (AI/ML): Implementing and overseeing model risk management frameworks for Amazon's Payments Risk organization with an accent on governance, compliance, and independent validation of AI/ML risk models. Focus on mitigating financial crime, operational, and customer risks while ensuring regulatory requirements are met within a global team.

Location: Onsite in Bangalore, India (ADCI - BLR 14 SEZ).

Company

%hirify_global% is a division of Amazon focusing on artificial intelligence solutions.

What you will do

Drive governance and compliance activities for AI/ML risk models.
Manage AI/ML risk management processes in alignment with regulatory requirements.
Perform independent model validation and oversee model risk management policy.
Collaborate with stakeholders (Legal, Compliance Tech, Operations, business teams) on AI/ML risk.
Identify heightened risks, controls, and value of AI/ML use cases.
Maintain a comprehensive inventory of AI/ML use cases and associated documentation.

Requirements

Bachelor’s Degree in Financial Engineering, Financial Mathematics, Mathematics, Statistics, or Computer Science.
6+ years of experience building, testing, implementing, and validating models, preferably AI/ML models.
Knowledge of SQL and Big Data technologies (e.g., Hadoop).
Experience in designing and implementing new model risk management programs or processes.
Excellent written and spoken English communication skills.
Knowledge of data management fundamentals and data storage principles.

Nice to have

Strong analytical and quantitative skills to understand and validate models effectively.
Experience with big data: extraction, processing, filtering, and presenting large data quantities via AWS technologies, SQL, and data pipelines.
Master's degree.

Culture & Benefits

Inclusive team culture with 15+ different nationalities and diverse experience from various sectors.
Focus on work-life harmony, mentorship, and career growth.
Opportunity to work within a global team of risk and compliance Amazonians.