Data Scientist
Job Description
At Rootstack, we are looking for a Data Scientist with strong experience in quantitative analysis, statistical modeling, and financial risk methodologies. The ideal candidate will have solid knowledge of credit risk, IFRS 9 provisions, and interest rate risk, as well as hands-on experience using SQL and Python to process, analyze, and model data. This person should be able to connect technical and theoretical concepts with practical business applications, delivering robust analytical inputs for strategic risk initiatives.
Required Skills
- Strong experience using SQL and Python for data extraction, processing, analysis, and modeling
- Solid knowledge of statistics, mathematics, quantitative economics, or industrial engineering
- Experience working on credit risk, IFRS 9 provisions, and interest rate risk from a methodological perspective
- Ability to perform statistical and econometric analysis to support the design and validation of methodologies
- Strong analytical and critical thinking skills
- Ability to connect theoretical concepts with practical business applications
- Clear communication skills to explain technical reasoning and findings
- Strong technical documentation and writing skills
- Experience with market and liquidity risk models is a plus
- Experience with NMD models, loan prepayment models, contingent exposure models, and EVE methodology is a plus
- Must be based in Panama (Availability to work onsite)
Key Responsibilities
Start your professional career with us
At Rootstack, we are focused on creating the technologies of the present and the future that help our clients elevate their digital presence. With a work culture focused on success, we put our employees first and we will focus on your growth within the company, always motivating you to achieve greatness.