Consultant/Senior Consultant - Fraud Model Validation

Key engagement responsibilities would be:

- Model development/validation/audit/review primarily for Fraud and Anti-Money Laundering (AML) forecasting models and tools. Validation process involves understanding of development document, testing and benchmarking using SAS, R or Python.

- Experience Developing/Validating vendor AML technology solutions such as Actimize, Mantas, Fircosoft, Accuity etc. either in customizing solutions for banks or validating vendor models OR building/validating in-house AML Tools as well as models in response to BSA, OFAC and other regulatory requirements

- Experience in developing/validating vendor Fraud technology solutions such as Socure, ID analytics, FICO, Actimize etc. either in customizing solutions for banks or validating vendor models OR building/validating in-house Fraud Models. Well familiar with fraud terminologies such as First Party, Third Party and Synthetic Fraud and performance evaluation metrics. In-depth knowledge of Fraud strategy and Lifecyle.

- Model validation including conceptual soundness, critical assessment of the testing performed by the model developers to support the integrity and accuracy of the model implementation and its fit-for-purpose, designing to evaluate the model's predictive power and its robustness uncertainty through the development and use of alternative benchmark models.

- Proactively work with seniors, AM and Managers for key deliverables in line with Project requirement

- Responsible for key deliverables and engage with Partners/Directors to understand the project scope, business requirements and work with onshore and offshore teams to do successful delivery

Job Requirements

Mandatory Skills

- Qualifications:

Advanced degree in Math, Statistics, Economics or any other Analytical disciplines

Any Graduate + MBA in finance with relevant experience/exposure.

- Additional certifications: Professional Certification such as FRM, ACAMS preferred

- Total Experience: Prior experience of 1-3 year (Executive) / 3-5 years (Senior) 5-8 years (Assistant Manager)working in the Risk Management/Analytics division in large banks and/or tier 1 consulting organizations like Big 4 or captives of top tier banks is preferred

Preferred Skills

- Programming skills: SAS (primary, minimum requirement), Python (secondary) and R (tertiary).

- Advanced statistical and quantitative modelling skills (linear regression, logistic regression, CART, CHAID and other data mining/predictive modelling skills)

- Hands on experience with AI/ML modeling techniques such as Random Forest, GBM, XGBoost, LGBM etc.

- Strong understanding of regulatory requirements related to model risk management including but not limited to SR11-7/SR15-18/CCAR/DFAST/CECL

- Excellent written and verbal communication skills

- Personal drive and positive work ethic to deliver results within tight deadlines and in demanding situations without compromising on quality, and ethical standards and values

- Ability to multi-task and handle client conversations

- Team player

- Self-driven

- Ability to work independently and motivate team members