Behavioral Analyst– Credit Risk - Aml

Responsibilities

You will be working with the Model Risk Management team specifically on Behavioural Analytics models(including treasury), with responsibilities ranging from model development and independent model validation function of a large banking client. This will involve end-to-end development of BAU models, independent validation of behavioural models in treasury viz. prepayment, balance runoff , compliance analytics and marketing campaign models across business functions, and development of challenger models as necessary. It will also involve interaction with various stakeholder groups including model development, model owners/lines of business, auditors and client model validators. Your activities will include, but will not be limited to the following:

• Lead projects and teams - provide thought leadership, technical guidance and oversight for a team of risk modelers
• Validation of Pricing and Acquisition Models within the framework of Marketing Campaign models
• Validation of Transaction Monitoring models/Sanctions/Screening models/ Trade and Surveillance models within Anti Money Laundering domain
• Validation of prepayment , pricing and balance run off models for treasury
• Prepare model validation report summarizing findings and provide recommendations
• Validation of First Party and Third Party Fraud Mitigation models
• Work hands-on to validate models, build and lead validation teams, and bring in thought leadership and domain/quantitative best practices to present effective challenge to the models
• Conduct necessary assessments to challenge the model effectively. Assess adequacy of model documentation in line with regulatory guidelines
• Data and quantitative analysis to support modeling decisions
• Assessment of model risk current state and gaps for clients along with the required recommendations to address the gaps
• Develop and support the reports to be shared with senior management at the desired frequencies
• Development of benchmark models using statistical/machine learning techniques
• End-to-end independent validation of Behavioural Analytics based models across various model families: Anti Money Laundering (AML) Models, Fraud Mitigation Models, Treasury prepayment and balance runoff models, Marketing Campaign Models and machine learning based models
• In addition to working on model development, the candidates would be required to present their analysis and model results to senior stakeholders in the client organization
• Validation for the source data quality, forecast data quality as well as change management
• First time (baseline), change based and annual validation
• Assess the models conceptually and quantitatively to ensure the model is suitable for the stated use
• Detailing model techniques and interpretation of variables used in the models be documented and presented to client Stakeholders
• Assessment of the model monitoring and implementation process. Assessment of the model calibration techniques

Qualifications we seek in you!

Minimum Qualifications

• Hands on expertise in Excel, SAS & Python/R
• Experience in BFS analytical projects supporting portfolio analytics/predictive modeling/independent validation of models
• Experience in Marketing Campaign Models (Pricing and Acquisition Models) is a plus
• Experience in asset liability management and treasury models is a plus
• Understanding of regression and classification algorithms and standard performance metrics (confusion matrix, AUC, Gini, F1 Score, KS etc.) for validation activities
• Experience of managing projects and teams in risk modeling
• Strong project management experience and demonstrated expertise of communicating and coordinating across multiple business units
• Experience in Financial Crime Risk (FCR)/ Compliance Analytics in the space of model development or independent validation of models (Anti Money Laundering Models : Transaction Monitoring – scenario based/ Transaction Monitoring – score based/ Screening Models/Trade and Surveillance Models; Fraud Models : first party and third party fraud mitigations)
• Master’s degree or higher in Finance/Mathematics/Economics/Statistics or equivalent experience
• Strong client management and communication/presentation skills – written & verbal
• Understanding of SR 11-7 and FINCEN, FINTRAC, FATF guidelines for Financial Crime Compliance space
• Self-driven, proactive, “can-do” attitude. Ability to work under ambiguity and with minimal supervision

Preferred Skills

• Strong networking, negotiation and influencing skills
• Knowledge of Banking and Financial services operations
• Knowledge of financial crime risk management
• Hands on experience in Machine Learning modeling techniques
• Prior Project Management and People Management expertise