Your browser cookies must be enabled in order to apply for this job. Please contact support@jobscore.com if you need further instruction on how to do that.

Credit Analyst / Data Analyst

Data Science | Mumbai, India | Full Time

Job Description

About the company

We have a goal to change the world and so should you.  Our vision is to improve financial inclusion for 1 billion people around the world. Our disruptive technology and solutions transform the use of data, enabling financial service providers to access and serve new and underserved market segments.

This is a fast-paced, startup work environment. You'll have a lot of latitude with how you complete your projects but also high expectations of the output - we have a culture focused on results.

Specific roles and responsibilities:

The role:

  • Review and analyze client and external data sets.

  • Deploy and integrate Lenddo's solutions in clients’ environments.

  • Establish and implement the risk frameworks including design variables and scorecards, model validation and portfolio performance monitoring.

  • Quantitative credit risk activities including modeling, validation, dual risk rating, loss and migration.

  • Research new non-traditional sources of data to include in the Lenddo platform.

  • Educate customers risk teams on the Lenddo solutions and methodologies (including coordination of Workshops, Webinars and White papers development).

  • Assist the commercial team during the sales process.

You will be reporting to Lenddo’s CTO. The role is based in Mumbai, but you will be expected to travel to client sites in India as well as to New York and Lenddo’s other deployments in Asia.

We offer a competitive compensation package including equity options for all employees.

Requirements:

  • Advanced degrees in Applied Math, Statistics, Engineering or equivalent

  • Background in credit risk and finance

  • Strong programming skills.

  • Required: Experience with statistical techniques and tools in python or R.

  • Preferred: Experience in a wide range of numerical and statistical modeling, including pattern recognition, machine learning and NLP.

  • Good communication skills; prefer candidates who have experience of presenting technical concepts and results to risk and business teams.