Senior Manager
Genpact
- Gurgaon, Haryana
- Permanent
- Full-time
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 Senior Manager, Model Development
In this role, you will be responsible for model development, implementation & documentation - for a BFS client in the US
Responsibilities
You will be working with the model development function of a large banking client and will focus on data validation, model methodology, calibration, implementation and monitoring of risk and regulatory models across business functions, and development of challenger models, as necessary. It will also involve interaction with various stakeholder groups including model validation, model owners/lines of business, auditors, and client model developers. You will be expected to work hands-on to assess models, build and lead development teams, and bring in thought leadership and domain/quantitative best practices to present an effective challenge to the models. Your activities will include, but will not be limited to the following:
- Work hands-on in development, re-development, and calibration of risk and regulatory models for banking book including deposit runoff, average balance forecasting, prepayment models for assets portfolio
- Data and quantitative analysis to support modelling decisions and ensure the correctness of the market data sourced from several vendors.
- Work on the development of model methodologies, algorithms, and diagnostic tools for testing model robustness, sensitivity, and stability.
- Detailing of model techniques and interpretation of variables used in the models to be documented and presented to client stakeholders.
- Develop model performance metrics and a detailed model monitoring plan to ensure continued use of these behavioural models
- Development of benchmark models may be required
- Help develop thorough technical documents for distribution and presentation to senior management, model developers, auditors, and regulators.
- Bringing in industry best practices and consultative inputs to help deliver continuous value to client engagements in advanced risk analytics.
- Lead, train, and mentor junior members in the team, providing guidance, support, and fostering a collaborative and innovative team culture.
Minimum qualifications
- Educational qualification: master's and bachelor's degrees in quantitative disciplines, like, mathematics, statistics, economics, computer science and engineering, etc.; MBAs must have bachelor’s degree in above-mentioned disciplines
- Relevant experience:
- Hands-on experience in SAS is needed. It is good to have Python coding experience.
- Experience in developing, validating models and risk management of credit risk models.
- Knowledge of various statistical techniques and proven skill in regulatory and non-regulatory credit risk modelling
- Understanding and experience of the regulatory risk model development/validation guidelines – SR 11-7, Basel IRB, CCAR, CECL, IFRS9 etc.
- End-to-end development or independent validation of credit risk and regulatory models including but not limited to – PD, LGD, EAD, Stress Testing, CECL, Credit Scorecards, AML and counter fraud models etc.
- Develop statistical/mathematical and machine learning based models, rule fine tuning/optimization, testing, reviewing, and performing validation activities and prepare end to end model documentation.
- Detailed knowledge of data analysis / analytics / mining techniques
- Hands on expertise in SQL, ETL, SAS, Python, R working with large data sets.
- Excellent knowledge of various statistical techniques
- Strong client management and communication/presentation skills – written & verbal.
- Self-driven, proactive, “can-do” attitude. Ability to work under ambiguity and with minimal supervision.
- Strong project management experience and demonstrated expertise in communicating and coordinating across multiple business units.
- Strong project management orientation with ability to work under time-sensitive commitments.
- Lead projects and teams - provide thought leadership, technical guidance, training, and oversight.
- Strong networking, negotiation and influencing skills.
- Knowledge of credit risk management for retail and wholesale lending products
- Hands on experience in Machine Learning modeling techniques
- Prior Project Management and People Management expertise
Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.