Credit Risk Analytics Lead @ AnoLytics

Job Description

Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow. Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore, and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of our team leaders rank in the Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence. We are a Great Place to Work-Certified (2022-24), recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG and others. We have been ranked among the Best and Fastest. Growing analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine. About the role: The growing Financial Services vertical seeks self-motivated analysts and statistical modelers with superlative technical skills for a challenging role in the Financial Services Modeling & Analytics area. Responsibilities for this job include working with various clients to design, develop, and implement models for various retail credit and fraud scorecards, and risk model development. The role also comes with a managerial responsibility to set and review tasks, perform QC, and to supervise, mentor and coach analysts. As part of larger Financial Services practice, you may get to work on a broad range of business-critical problems across various work streams. You will be engaging with clients and client partners to understand their business context, and work with a team of data scientists and engineers. Location: Chennai Responsibilities: Overall minimum 6 years of experience in model development and implementation, in financial service area, of which at least 2 years should be in leading a team. Model development, validation, and implementation experience in using large datasets. Demonstrable knowledge of working with credit bureau data, credit product offerings for credit decisions Prior experience Regulatory credit risk model development/Validation PD, LGD, EAD, Scorecards, CECL, CCAR (loss forecasting) Exposure to credit risk and regulatory principles. Exposure to SR11-7 guidance Domain understanding in retail banking and risk management function Hands-on experience in working with Python, SAS including using advanced knowledge of SQL Working knowledge of Python (pandas, schikit-learn, NumPy) Excellent written communication skills, ability to summarize and present output to business stakeholders and write model documentation to present complex analytical concepts. Proficiency with Office applications including Excel, PowerPoint Willing to work in flexible hours with virtual team across time zones. Perks of Working with Tiger: Latest Technology: You will get to work on the most advanced technologies like machine learning and artificial intelligence. Global Exposure: We work for leading global brands. You will get exposure to global markets while working with international clients. Learning & Development: We partner with a host of the biggest learning platforms. You will be encouraged to learn and grow. Growth Mindset: We encourage a growth mindset and believe that learning never stops. There is no pressure on you to be a master of everything. With this attitude, we can make significant progress in areas that we know very little about today. Here, youll work with people with a collective passion to explore the limitless potential of data to solve complex problems. Additional Benefits: Health insurance (self & family), virtual wellness platform, fun, and knowledge communities

Employement Category:

Employement Type: Full time
Industry: IT Services & Consulting
Role Category: Content Development
Functional Area: Not Applicable
Role/Responsibilies: Credit Risk Analytics Lead

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Keyskills:   Python SAS SQL Machine Learning Artificial Intelligence Financial Services Retail Banking Risk Management Data Science Credit Risk Modeling