Data Scientist - Credit Risk

Scienaptic is the world's leading AI powered Credit Underwriting platform company. Designed by seasoned Chief Risk Officers, its platform is creating industry leading business impact in terms of lifts such as higher approvals (15-40%) and lower credit losses (10-25%) with all the regulatory explainability. Last year alone, we have helped financial institutions evaluate 45 Million consumers and offer credit to over 15 Million. Scienaptic's clients include Fortune 100 banks, community banks and Fintechs.

We are looking for an energetic and experienced person as Data Scientist. The chosen candidate will be responsible for interacting with clients and developing all aspects of data mining, predictive analytic, solution development to name a few. Experience in Banking and Financial Services, Customer Experience is a plus.

Responsibilities and Duties

  • Focus on developing clear and concise analytical approach for problem solving with client partnership

  • Strong understanding of ML libraries and applications e.g. Neural Net, SVMs, Boosting methods and implementation using R/Python. Should have academic paper level understanding of math e.g. linear algebra, calculus etc.

  • Expert Python Programmer: SQL, extremely proficient with the SciPy stack (e.g. NumPy, pandas, scikit learn, matplotlib);

  • Proficiency in work with open source deep learning libraries like TensorFlow, Keras, Pytorch

  • Managing delivery of projects including timely communication, setting milestones and tracking

  • Generating actionable insights for business/KPI improvements

  • Rich experience in at least one production ready deployment of Machine Learning algorithms is a plus.

  • Experience in working on real life large messy dataset to solve real business problems. Kaggle experience is a plus.

Skills and competencies 

  • Must have client interaction experience

  • Minimum 3 years of experience with machine learning, analytic consulting, product development

  • Must have experience in building predictive models (Application Score Card, Behaviour Score Card, Collection Score Card, Loan Pricing, Loss Forecasting, Cross Sell Model)

  • Develop and Maintaining Credit Risk Models & Strategies

  • PhD, MBA, Masters in Economics / Statistics / Mathematics,

  • Should be comfortable working in a fast paced start-up / small office environment

Note: We are looking for candidates who are presently serving their notice or who can join us within 15-20 days. 

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