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Inviting applications for the role of Model Validation analyst, Analytics (Manager/ Assistant Manager)

Responsibilities

In this role, the candidate would be required to carry out end-to-end validation of credit risk models including the evaluation of the models from qualitative and quantitative standpoint and summarizing the findings in a report.

Responsibilities

• Evaluate adequacy of theoretical framework and model design. Conduct research as required and provide supporting materials (white papers/ Fed/ OCC publications) to either support or reject a modeling framework


• Familiarize oneself with applicable banking regulations for assessing capital adequacy, stress testing, provisioning etc. CCAR, CECL


• Evaluate accuracy and support for key assumptions and data


• Conduct replication of model results to confirm accuracy of model code and processing accuracy and capacity


• Conduct review of SAS, Python or R codes and write new codes for statistical tests


• Conduct sensitivity and back testing analysis. The sensitivity analysis would include sensitivity of model results to changes in parameters and data inputs


• Assess limitations of model results for its intended use


• Adequacy of model documentation


• Prepare model validation report summarizing findings and providing recommendations


• Participate in exit meetings and provide assistance and support in explaining findings to business stakeholders


• Communicate with client stakeholders on regular basis to discuss project progress and analysis outputs

Qualifications

Minimum qualifications:

• Masters' degree in a quantitative discipline, with' experience in quantitative data analytics and modeling


• Experience in design of Statistical models using regression (linear/logistic/GAM), optimization, time series, survival modeling techniques


• Proficient in SAS for data mining and model development


• Agile development and delivery


• Proactive approach


• Very strong analytical skills


• Ability to manage & prioritize high quality deliverables


• Must have the right attitude and level of flexibility


• Strong team player


• Able to work within tight deadlines, multi-task and deliver on commitments


• Should have strong consulting mindset to engage with Global senior stakeholders

Preferred Skills/Qualifications:

• Model Development experience in banking and capital markets domain


• Understanding of US banking regulations on Capital, Provisioning - Basel, CCAR, CECL and experience of developing or validating regulatory models preferred


• Prior experience in data science delivery roles


• Hands-on experience in Python or R


• Proficiency in advanced Excel macros/VBA

Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values diversity and inclusion, respect and integrity, customer focus, and innovation. For more information, visit www.genpact.com. Follow us on Twitter, Facebook, LinkedIn, and YouTube.

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