Hiring Risk Data & Analytics from Banking Domain

Job Description

With a startup spirit and 115,000+ curious and courageous minds, we have the expertise to go deep with the worlds biggest brandsand we have fun doing it. We dream in digital, dare in reality, and reinvent the ways companies work to make an impact far bigger than just our bottom line. We’re harnessing the power of technology and humanity to create meaningful transformation that moves us forward in our pursuit of a world that works better for people. Now, we’re calling upon the thinkers and doers, those with a natural curiosity and a hunger to keep learning, keep growing., People who thrive on fearlessly experimenting, seizing opportunities, and pushing boundaries to turn our vision into reality. And as you help us create a better world, we will help you build your own intellectual firepower. Welcome to the relentless pursuit of better. Inviting applications for the role of Risk Data & Analytics! Responsibilities Prepare data validation report summarizing findings and provide recommendations Work across risk and regulatory modeling and data analytics projects, build and lead modeling teams with end-to-end support Model monitoring and implementation support Development of modeling strategies for automated decision making Develop and support the reports to be shared with senior management at the desired frequencies Data and quantitative analysis to support modeling decisions Detailing model techniques and interpretation of variables used in the models be documented and presented to client Stakeholders Validation for the source data quality, forecast data quality as well as change management The candidates would be required to present their analysis and model results to senior stakeholders in the client organization Assessment of model risk current state and gaps for clients, along with recommendations to address the gaps Qualifications we seek in you! Minimum qualifications Master’s degree or higher in Finance, Mathematics, Economics, Statistics, or equivalent experience Leading as well as hands-on experience in BFS analytical projects supporting portfolio analytics/predictive modeling/independent validation of models Experience in BFS analytics, with experience in data preparation for credit risk modelling, credit risk reporting Experience in retail and wholesale credit risk modeling is a plus Understanding of and experience in regulatory risk modeling/validation – SR 11-7, CECL, IFRS 9, CCAR, Basel IRB Hands on expertise in Excel, SAS & Python/R Strong client management and communication/presentation skills – written & verbal Strong project management experience and demonstrated expertise of communicating and coordinating across multiple business units Experience of managing projects and teams in risk modeling 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 credit risk management for retail and wholesale lending products Understanding and experience on the regulatory risk modeling/validation guidelines – SR 11-7, Basel IRB, CCAR, CECL, IFRS9 etc Preferred qualifications Problem Solving approach Good Analytical and Decision-making skills Ability to work individually and as a team member Good verbal, written and interpersonal skills Ensure meeting deliverables timelines and ability to handle the pressure 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.