Model validation/MRM Specialist

Tiger Analytics

3 - 8 years

20 - 35 Lacs

hyderabad chennai bengaluru

Posted:4 days ago| Platform:

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Skills Required

model validation model risk credit risk mrm model monitoring fraud risk assessment

Work Mode

Hybrid

Job Type

Full Time

Job Description

Responsibilities:

Perform independent review and model validation of Artificial Intelligence and Machine Learning (AI/ML) models;
Conduct model architecture review, theoretical soundness assessments and performance evaluations;
Write validation reports containing/explaining the analyses performed and their results;
Present the reports and findings to various review/approval committees and to other modeling teams;
Develop creative approaches to effectively communicate complicated concepts, model validation results and analyses to stakeholders;
Participate in peer brainstorm review sessions and help other MRM&V members to solve the problems they are facing; work closely with cross-functional teams, including senior model validators, model developers, risk officers, and business units, to ensure models are effectively integrated into business decision-making processes.
Represent Model Risk management team in the interactions with regulatory agencies.

Qualifications

3 or more years experiences in model development or validation.
Familiar with essential quantities techniques used in financial models.
Quantitative programming skill (e.g., SAS/SQL, Python, R, etc.).
Knowledge with Machine Learning algorithm in model development or validation is a plus.
Very good communication skills (both verbal and written) as well as solid project management skills and ability to multitask.
Good business knowledge and familiarity with consumer/small business/commercial banking products, operation, and credit processes.
Prior experience with developing or validating models such as stress testing, prepayment or profitability models will be a plus.
Prior experience in delivering both written and verbal communications to a senior management audience and developing constructive relationships with a wide range of different stakeholders.

Education:

Masters or Ph.D. degree in finance, economics/econometrics, statistics, or other quantitative fields (physics, computer science, mathematics, etc.)

Please note that we are looking for only Immediate to 30 days joiners

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