Applied Scientist - Risk and Compliance Solutions

Amazon India Limited; Bengaluru; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Amazon India Limited in Bengaluru is seeking a mid-level ML/GenAI specialist to drive compliance-focused models and scalable systems. You will translate complex regulatory requirements into ML solutions, build robust risk models for rare outcomes, and deploy them with governance and auditing in mind.

You collaborate with Compliance and 1LoD partners, design evaluation frameworks, and mentor engineers on statistical methods and experimental design.

Qualifications

• 3+ years of building models for business applications.
• Experience programming in Java, C++, Python or related language.
• Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing.

Responsibilities

• Formulate ambiguous compliance problems as ML and GenAI problems with Compliance and 1LoD partners, and choose methods that fit the data, the risk, and the audit standard
• Develop risk models that learn from rare, delayed, and noisy labels to score which risks and control weaknesses convert to breaches, and calibrate them so a score carries a defensible meaning
• Build GenAI systems that remove manual effort from requirement translation, control testing, and regulatory reporting, with human approval gates at every stage
• Design the evaluation for every ML and GenAI system you ship: golden sets that compliance experts label, metrics suited to rare outcomes and generated text, and release criteria a system meets before Compliance relies on it
• Deploy and monitor models in production with software development engineers, including drift detection, performance tracking against realized outcomes, and retraining criteria
• Explain model decisions, quantify uncertainty, and document methodology so Compliance Officers, auditors, and examiners can trace how a system reached each output
• Create reusable science components, such as feature sets, scoring services, and evaluation harnesses, so an approach that works in financial crime compliance extends to the next domain without a rebuild
• Review peer models for statistical soundness, mentor data scientists and engineers on ML methods and experimental design, and publish or patent where the work and confidentiality allow

Skills

Java

C++

Python

Algorithms & data structures

Parsing

Numerical optimization

Data mining

Parallel computing

Distributed computing

High-performance computing

Tools

ElasticSearch

Amazon EMR

AWS EC2

AWS Glue

AWS Lambda

Relational DBMS

Job description

Key job responsibilities

• Formulate ambiguous compliance problems as ML and GenAI problems with Compliance and 1LoD partners, and choose methods that fit the data, the risk, and the audit standard
• Develop risk models that learn from rare, delayed, and noisy labels to score which risks and control weaknesses convert to breaches, and calibrate them so a score carries a defensible meaning
• Build GenAI systems that remove manual effort from requirement translation, control testing, and regulatory reporting, with human approval gates at every stage
• Design the evaluation for every ML and GenAI system you ship: golden sets that compliance experts label, metrics suited to rare outcomes and generated text, and release criteria a system meets before Compliance relies on it
• Deploy and monitor models in production with software development engineers, including drift detection, performance tracking against realized outcomes, and retraining criteria
• Explain model decisions, quantify uncertainty, and document methodology so Compliance Officers, auditors, and examiners can trace how a system reached each output
• Create reusable science components, such as feature sets, scoring services, and evaluation harnesses, so an approach that works in financial crime compliance extends to the next domain without a rebuild
• Review peer models for statistical soundness, mentor data scientists and engineers on ML methods and experimental design, and publish or patent where the work and confidentiality allow

About the team

Risk and Compliance Solutions (RCS) serves as a crucial safeguard for Amazon's buyers, brands, and selling partners while ensuring business teams meet their regulatory obligations. RCS operates as the second line of defense under the Three Lines of Defense (3LoD) model, providing specialized oversight, monitoring, and expertise while setting policies and procedures that guide Amazon's compliance framework. RCS's mission is to apply specialist industry insights and Amazon's unique approach to scale through technology, delighting customers through tailored compliance solutions.

Our work spans multiple critical areas, including:

• Streamlined license acquisition that enables Amazon's financial services expansion
• Management of existing business risks across the organization
• Comprehensive governance, risk, and assurance services
• Innovative solutions such as Compliance as a Service (CaaS)
• A proactive, intelligence-led framework for compliance operations

Basic Qualifications

• 3+ years of building models for business application experience
• Experience programming in Java, C++, Python or related language
• Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Preferred Qualifications

• Experience in patents or publications at top-tier peer-reviewed conferences or journals
• Experience in financial modeling, or experience designing and implementing controls or experience performing audits over financial reporting environment
• Experience with training and deploying machine learning systems to solve large-scale optimizations, or experience with data infrastructures: relational analytic DBMS, Elastic-Search, and Big Data EMR/EC2/Glue/Lambda

Our inclusive culture empowers Amazonians to deliver the best results for our customers.

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Experience Level

Mid Level