Consultant / Senior Consultant – Model Risk Management

Job Description

Tiger Analytics is a global leader in AI and analytics, helping Fortune 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 + 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™ (-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 / Bangalore / Hyderabad / Remote Experience : 2 to 8 years Job RequirementQualification :

• Education : Graduate / Master degree in computer science, statistics, econometrics, mathematics, computational finance, or similar
• Deep knowledge in Quantitative methods / econometrics / statistics.
• Strong in Regression analysis, Time series Analysis, optimization.
• Knowledge of Risk Models and Optimization algorithms.
• Good working knowledge of SAS, Python and SQL, Machine learning, exploratory data analysis Responsibilities will include : Monitor and validate aggregate model risk in alignment with bank’s risk strategy 1)You will lead a team of Model validators, who use their predictive and AI Modeling knowledge to review and validate a wide variety of the models 2) Manage a grwoing Model Validation team responsible for independent first line validation of predictive and generative AI models 3) Perform independent validations of financial, statistical, and behavioral models commensurate with their criticality ratings 4) Assist with the validation and review of models regarding their theoretical soundness, testing design, and points of weakness 5) Interpret data to recognize any potential risk exposure 6) Development of challenger models that help validate existing models and assist with outcome analysis 7) Ensure compliance with the model risk monitoring framework 8) Evaluate governance for Model Risk Management by reviewing policies, controls, risk assessments, documentation standards, and validation standards 9) Exposure to CCAR / CECL / IRB Models are preffered 10) Evaluate the Bank’s compliance with SR 11-7 regulatory guidance"