We are looking for a strong Senior Analyst/Senior Data Scientist, who will guide model development.
The person will be part of data science team that continuously interacts with underwriting analysts and developers that drive solutions to the complex business problems, in credit and risk domains.
Roles and Responsibilities:
In addition to the responsibility of analyst/Data Scientist, additional responsibilities:
Good understanding of the underlying business and workings of cross functional teams for successful execution.
Good written and oral communication, and ability to convey technical details to teams working across multiple time zones.
Mentor a small team of analysts.
Qualification & Experience:
4+ years of experience in the field of credit rist analytics, marketing analytics backgrounds
Proven experience working in teams with end to end real time implementation
Strong with programming languages like Python and data processing using SQL or equivalent and ability to experiment with newer open source tools
Strong with analytical and statistical packages like R, Python Scikit-Learn
Familiarity with deep learning, xgboost, scikit, apache spark, GPU based machine learning
Good communication skills and ability to articulate complex scientific and technical matters to the business group
Ability to successfully interact with business and software teams for execution
Experience in newer machine learning algorithms
Experience with NoSQL and distributed data processing technologies such as Hadoop is also desirable
Experience in risk and credit score domains are a big plus
Bachelor or Master in Operations Research, Computer Engineering or in closely related Quantitative Disciplines from a premier institution.
We have a more accurate picture of Alice than other lenders. We use more data, from more sources. We analyze it using the most advanced data science. We can see that she is, in fact, a good risk. So we can lend to her at a risk-appropriate rate.
