Job
Description
With a startup spirit and 90,000+ curious and courageous minds, we have the expertise to go deep with the worlds biggest brandsand we have fun doing it. Now, we are calling all you rule-breakers and risk-takers who see the world differently and are bold enough to reinvent it. 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 relevant experience in quantitative data analytics and modeling Minimum skills: 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 in approach Very strong analytical skills Ability to manage & prioritize high quality deliverables Must have 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.
