Position : Fraud Analytics - MRM - Consultant (4-6 Years) / Sr Consultant (6 - 10 Years)

NP: Immediate Joiners / 0 to 30 Days Max

Location: Chennai, Bangalore, Hyderabad - Hybrid

MRM (Model risk managment)

(SQl+ Python+ SAS)

Role & responsibilities:

- Independently validate and assess the conceptual soundness, data quality, and performance of fraud detection models, including machine learning and rules-based systems.

- Conduct sensitivity and stress testing to evaluate robustness under diverse scenarios and ensure reliability.

- Identify vulnerabilities and potential risks in fraud detection models and provide actionable recommendations to mitigate them.

- Ensure alignment with clients internal policies, industry standards, and applicable regulatory requirements.

- Evaluate datasets used in model development and validation for accuracy, completeness, and relevance.

- Develop robust test frameworks, including back-testing, benchmarking, and out-of-sample validation, to validate model outputs.

- Create comprehensive validation reports detailing methodologies, results, and recommendations.

- Translate complex technical findings into clear, actionable insights for model developers, business leaders, and regulatory stakeholders.

- Stay abreast of regulatory guidelines such as SR 11-7 and OCC guidance, ensuring fraud models meet all standards and expectations.

- Support compliance efforts by maintaining audit-ready documentation.

- Partner with fraud analytics teams, model developers, compliance, and risk management functions to address findings and improve model design.

- Support internal and external audits, as well as regulatory reviews, related to model risk management.

- 6-8+ years of experience in fraud model development, validation, or model risk management, preferably within financial services or a similar industry

- Strong expertise in fraud detection methodologies and best practices

Preferred candidate profile:

1) 6-8+ years of experience in Fraud Analytics, Fraud Strategy, or related fields.

2) Expertise in US Credit/Consumer Lending fraud, including First Party and Third-Party fraud.

3) Strong experience with rule-based fraud detection systems and enhancements.

4) Proficiency in Python and SQL for data analysis and model development.

5) Solid understanding of fraud-related KPIs and their impact on P&L.

6) Excellent analytical, problem-solving, and communication skills.

7) Exposure to CCAR/CECL/IRB Models are preferred.

8) Evaluate the Banks compliance with SR 11-7 regulatory guidance

Desired Experience /Skills:

1) Experience working with leading US financial institutions.

2) Familiarity with Fraud analytics, strategy and Fraud operations

3) Exposure to tools and third-party solutions used in fraud prevention and monitoring.

4) Knowledge of machine learning techniques and their application in fraud detection.

5) Hands on experience in python/pyspark/SAS with ability to handle the large datasets

Perks and benefits:

- Latest Technology: You will get to work on the most advanced technologies like machine learning and artificial intelligence.

- Global Exposure: We work for leading global brands. You will get exposure to global markets while working with international clients.

- Learning & Development: We partner with a host of the biggest learning platforms. You will be encouraged to learn and grow.

- Growth Mindset: We encourage a growth mindset and believe that learning never stops. There is no pressure on you to be a master of everything. With this attitude, we can make significant progress in areas that we know very little about today. Here, youll work with people with a collective passion to explore the limitless potential of data to solve complex problems.

- Additional Benefits: Health insurance (self & family), virtual wellness platform, fun, and knowledge communities.