Job Description

Regulatory & Credit Risk Modeling Specialist / Machine Learning Model Development - 3+ Years - Gurgaon/Bangalore (exceptions possible)Location- Gurgaon/Bangalore (exceptions possible)Summary: We are looking for a skilled Regulatory & Credit Risk Modeling Specialist responsible for managing model risk and ensuring regulatory compliance in credit risk modeling. The ideal candidate will have a strong background in model development, testing, and documentation, and will work closely with cross-functional teams.Your Future Employer: It is a global professional services company specializing in analytics, technology, and operations. It helps businesses transform their operations, enhance their decision-making, and drive growth through data-driven insights and innovative solutions.Key Responsibilities:1. Develop and implement machine learning models tailored to banking analytics challenges.2. Utilize Python and other tools to build, test, and deploy machine learning models.3. Work with cross-functional teams to integrate models into business processes.4. Ensure the accuracy and quality of machine learning models through rigorous validation.5. Assist with model risk management (first line or second line) and regulatory compliance.6. Conduct various model tests including performance, sensitivity, and back-testing.7. Interact with the model governance team for model development and monitoring.8. Collaborate with business stakeholders, model validation, and governance teams.9. Provide high-quality client services and ensure timely model documentation.Requirements:1. Minimum of 2+ years of experience in end-to-end monitoring, validation, production, and implementation of credit risk models, particularly CCAR, CECL, or IFRS9 regulatory models.2. Strong understanding of credit risk regulatory models.3. Experience with marketing and general analytics problems.4. Proven ability to manage projects accurately and meet deadlines.5. Experience in training, coaching, and developing team members.6. Minimum 3+ years of experience in machine learning model development.7. Strong proficiency in Python and machine learning techniques.8. Background in banking or financial services is preferred.9. Experience with end-to-end model development, validation, and deployment.What is in it for you:1. Career Growth: Opportunities for professional development and advancement through training programs and diverse project experiences.2. Innovative Work Environment: Exposure to cutting-edge technologies and analytics tools, fostering a culture of innovation.3. Global Exposure: Experience working with international clients and teams, enhancing cross-cultural communication skills.4. Competitive Compensation: Attractive salary packages and performance-based incentives.5. Comprehensive Benefits: Health insurance, retirement plans, and other employee benefits that support overall well-being.6. Work-Life Balance: Flexible work arrangements and support for maintaining a healthy work-life balance.7. Diverse Culture: A collaborative and inclusive work environment that values diverse perspectives and backgrounds.Reach us: If you think this role is aligned with your career, kindly write me an email along with your updated CV on for a confidential discussion on the role.Disclaimer: Crescendo Global is specializes in Senior to C-level niche recruitment. We are passionate about empowering job seekers and employers with an engaging memorable job search and leadership hiring
experience. Crescendo Global does not discriminate on the basis of race, religion, color, origin, gender, sexual orientation, age, marital status, veteran status or disability status.Note: We receive a lot of applications on a daily basis so it becomes a bit difficult for us to get back to each candidate.Please assume that your profile has not been shortlisted in case you don\'t hear back from us in 1 week. Your patience is highly appreciatedProfile Keywords: Model Development, SAS/Python, Banking ,Machine Learning.

Crescendo Global