Data Scientist - BFS

Experience in:

- Demonstrated track record of having applied data science methods to multiple retail asset products

- End to end experience from data extraction to modelling and its validation

- Knowledge of Mortgage business would be a big plus

- Preferably more than 4-5 yrs of experience in Analytics / Data science vertical with proven credentials

- Experience in data mining, Knowledge of R, SQL and Python; familiarity with Java or Scala would be a plus

- Experience with data visualization tools

- Good applied statistics skills, such as distributions, statistical testing, regression, etc.

- Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop)

- Is hands-on currently and proficient with SAS and Python coding

- Familiarity with developing models using semi structured as well as unstructured data.

- Past experience of Credit/underwriting/sales/collections would be an additional asset.

Job description

- Analyze large amounts of data/ information to discover trends and patterns for the retail asset products

- Evangelize the use of alternate data in enhancing risk management and customer experience

- Build predictive models and machine-learning algorithms for sourcing & collection related projects

- Present information using data visualization techniques

- Propose solutions and strategies to business challenges

- Actively interface with technology to implement and improve business solutions

- Drive external partner engagements (such credit bureaus/ fintech platforms