Developcredit and fraud scoring models along with other predictive models.
Engagein ongoing optimization and automation of business processes.
CraftKPI to gauge the effectiveness of risk strategies and business processes.
Overseeproject planning, execution, and progress tracking.
Preparerequirements, liaise with stakeholders, manage timelines & expectations.
Participatein/manage the full model lifecycle: deployment, monitoring, retraining, andupdating.

Bachelor’s/Master’sdegree in a technical or quantitative field such as statistics, mathematics,econometrics, economics, computer science.
Proficiencyin Python.
Experiencewith databases (SQL, MySQL, etc.) and advanced MS Excel.
Proventrack record using predictive analytics to impact business outcomes.
Backgroundin credit risk modeling: scorecards, vintage analysis, decision trees, rollrate analysis.
Familiaritywith analytical software, like Power BI, is a plus.
Experiencewith ML Ops on AWS or other cloud-based platforms is an advantage.
Minimum2 years’ experience as Decision Scientist.

You’ll receive competitive compensation and work with amazingpeople. You’ll work in a beautiful environment with a flat structure and solvecomplex, real-world challenges.
You'lljoin a team of top-tier professionals with backgrounds in leading consultanciesand banks.
You'llplay a pivotal role in cultivating a data-driven culture, placing data at thecore of all our decisions.

Decision Scientist