Statistical Risk Management Lead
3 days ago
NovoTree Minds Consulting Private Limited invites applications from qualified candidates for the position of Risk Modeler. This is a fantastic opportunity to work with a talented team of professionals who are passionate about delivering high-quality solutions to our clients. As a key member of the Model Risk team, you will play a crucial role in reviewing, validating, and maintaining regulatory models and rule engines across various business lines.
Role Description:
This is an exciting opportunity for a seasoned professional with 6-12 years of experience in analytical and risk management domains. You will have expertise in design and development of statistical models using regression, machine learning, and optimization techniques. Your ability to work with complex data sets, write codes, and create programs to undertake analysis will be essential in this role. Additionally, you should have a solid understanding of regulatory requirements related to model validation and be comfortable working with Excel, PowerPoint, and other tools.
Responsibilities:
- Perform validations in one or more domains: credit risk, market risk, ALM, AML, fraud risk, and collections
- Monitor and evaluate emerging risks and trends in model validation
- Contribute to regulatory submissions and IA activities
- Develop and deliver training programs for validation staff and other stakeholders on model validation concepts and techniques
Requirements:
- Masters in Statistics/ Quantitative Economics/ Quantitative Finance/ MBA with a quantitative modeling background or BE/BTech/Bstat/Bsc Eco/ BA Eco with suitable experience in analytical and risk management domains
- Strong conceptual knowledge in one or more of credit risk/market risk/ALM/AML/Fraud risk/collections
- Hands-on experience with SAS/ Python/ R
- Excellent communication skills and ability to manage senior stakeholders across risk, modelling, audit, and business verticals
What We Offer:
- Estimated salary: ₹1,200,000 - ₹2,500,000 per annum (dependent on qualifications and experience)
- Opportunities for career growth and professional development
- Collaborative and dynamic work environment
How to Apply:
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