Related skills
sql python pandas gcp scikit-learn📋 Description
- Apply statistical methods, time series, and ML to forecast finance metrics.
- Extract, clean, and transform large financial/operational data to spot trends.
- Design and run A/B tests and causal analyses; monetize results.
- Define data structures and pipelines with Data Engineering; ensure data quality.
- Partner with Senior Finance and Commercial Leaders to align problems and propose solutions.
- Build dashboards and reports tracking key KPIs; present insights to stakeholders.
🎯 Requirements
- 2-3 years in Data Scientist/Quant Analyst in Finance/Fintech.
- Bachelor's or Master's in Statistics, Math, Engineering, or Financial Economics.
- Strong stats/econometrics foundation, hypothesis testing, regression, ML.
- Domain knowledge: P&L, balance sheet, forecasting, and metrics.
- Technical: Python (Pandas/NumPy/Scikit-learn) and SQL; time-series forecasting.
- Nice-to-have: GCP/Databricks; Looker Studio; large-scale data experience.
🎁 Benefits
- Health insurance for family; flexible working environment and wellbeing tools.
- Extra days off, sabbatical, and community volunteering days.
- Training opportunities and Udemy access.
- Flexible benefits program.
Meet JobCopilot: Your Personal AI Job Hunter
Automatically Apply to Data Jobs. Just set your
preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.
Help us maintain the quality of jobs posted on Empllo!
Is this position not a remote job?
Let us know!