Program Lead
4 weeks ago
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/Bangalore/Hyderabad
Experience: 2 to 8 years
Responsibilities
Job Responsibilities
1) The Credit Risk Modelling team is responsible for the development, oversight and embedding of credit risk measurement models for the bank.
2) The Credit Risk Model Developer plays an important role within the Credit Risk Modelling team to, develop the credit risk models to predict risk estimates such as PD, EAD, and LGD, and operational models to support credit risk decisions, Areas the Model could include but not limited to Regulatory Capital Calculation , Internal Capital Calculation ,Stress Testing and Origination Decisioning
3) Conduct detailed analytical work with a high level of accuracy in order to deliver high level results to senior management, and contribute to the management and education of enhanced credit risk approaches.
Required Qualifications, Capabilities and Skills
1) Degree in Accounting, Commerce, Economics, Statistics / Mathematics, or Risk Mandatory
2) Post graduate finance, economics or accounting qualifications requirement
Desired Experience
1) Experience in a quantitative risk function
2) Background in lending and credit sufficient to make the person credible when discussing credit issues.
Desirable Skills
1) Prior experience in development of regulatory models under the guidance of IRB/IFRS9/CECL and CCAR
2) Good to have experience in building risk models related to Organization and Behaviour scorecard
3) Prior experience in credit risk strategy like CLI , policy analytics is preferred
4) Hands on Development experience in python/py-spark/ SAS
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