Data Scientist (Credit Risk Modeling)
Lucky’s mission is to overcome the barriers to seamless and inclusive financial services for the MENA’s “underbanked” population of 250 million. Our goal is to provide the best consumer experience throughout the region.
To accomplish our mission, we are building a data-driven machine learning platform that will be at the heart of our financial services infrastructure. If this is compelling to you, come join our growing data endeavor and, together, let’s build an exciting product that will have a significant impact on the economic outlook of millions of people.
We are a diverse and collaborative group of product, tech, and data developers who span five continents, and we look forward to meeting you.
Find out more here: https://thelucky.app/
As an early member of the Lucky data team, you will work closely with the Director, the product and the tech teams to:
Build credit models that minimize risk while increasing product return.
Design and develop machine-learning models that are geared towards democratizing financial services.
Contact us if you are:
Experienced in modeling credit risk, credit lines, spend forecasting, and fraud as well as evaluating and monitoring their risk and performance through dashboards.
Excited about high-volume data and solving the challenges it poses.
Excited about implementing ML solutions geared toward financial services.
A deep-diver when it comes to understanding data.
A strong communicator eager to share data insights.
Bachelor’s or Master’s degree in computer science, data science, machine learning, statistics & applied mathematics, or similar fields.
3+ years professional experience as a business analyst, credit modeler or data scientist.
Fluent with programming in Python.
Experience with cloud compute services such as AWS, GCP or Azure.
Experience with relational databases such as MySQL.
Experience working with containers is a plus.
Experience with databricks and pyspark is a plus.
Ability to wear multiple hats to support growth of the business
Strong problem solving and analytical skills.
Experience with diving into data, finding insights, and presenting them.
All your information will be kept confidential according to EEO guidelines.
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