Develop and deliver credit risk and business intelligence solutions.
Perform advanced analytics across the lending lifecycle.
Work with cross-functional global teams.
Present insights to stakeholders.
Help clients adopt analytics-driven strategies while contributing to a high-performance culture.

Bachelor’s degree in Statistics, Applied Mathematics, Financial Mathematics, Engineering, Operations Research, Computer Science, or another highly quantitative field.
Strong analytical, critical thinking, and creative problem-solving skills.
Proficiency in Excel (including formulas, pivot tables, and macros), and programming experience in R and/or Python.
Familiarity with data manipulation and querying tools such as SQL, Hive, or Spark.
Ability to communicate effectively across multiple levels of the organization and work collaboratively in a fast-paced environment.
Strong organizational and project management skills with the ability to handle multiple assignments.
Willingness to travel up to 10–20% as needed.

A collaborative and innovative work environment where new technologies and tools are continuously explored to stay agile.
Flexible time off, workplace flexibility, and support for continued professional growth through tuition reimbursement, conferences, and seminars.
A culture that encourages you to sharpen existing skills and build new capabilities while discovering your unique strengths.
A modern computing environment leveraging best-in-class big data and cloud technologies, with the freedom to explore new data sources and advanced statistical and machine learning methodologies.
A team of brilliant minds who not only understand your stats jokes—they’ll appreciate them.

Senior Analyst, Data Science and Analytics

Key skills