Data Scientist (Finance)
Impact: Risk reduction, revenue generation, and fraud prevention through quantitative modelling
Build and deploy quantitative models and machine learning solutions for financial applications including credit risk, fraud detection, algorithmic trading signals, and customer analytics. Collaborate with quants, engineers, and business stakeholders to translate financial hypotheses into production-ready data products.
What the day looks like
- People interaction
- Moderate
- Team vs solo
- 55% Team / 45% Solo
- Client facing
- Rarely
- Impact visibility
- High
- Travel
- Minimal
- Schedule flexibility
- Moderate
- Remote work
- Hybrid
- Typical work hours
- 45-55 hours/week
- Stress level
- High
At a glance
- Median salary
- $155,000
- Entry-level
- $110,000 - $135,000
- Senior
- $200,000+
- Growth by 2033
- 30% (much faster than average)
- Demand
- Growing Fast
- Freelance potential
- Low
- Salary growth potential
- High to 65-85% growth from entry to senior
- Typical student debt
- $40,000 - $80,000
Skills you'll use
Hard skills
- Python / R / SQL
- Financial Modelling & Valuation
- Machine Learning (XGBoost / LightGBM / Neural Networks)
- Time-Series Analysis
- Bloomberg / Refinitiv Data APIs
- Risk Modelling (VaR / CVaR)
Soft skills
- Analytical Thinking
- Stakeholder Communication
- Attention to Detail
- Problem Framing
- Intellectual Curiosity
Technical complexity: Very High
How to get there
- Minimum education
- Master's Degree
- Licensing
- No
- Years to mid-career
- 3-5 years
- Years to senior
- 6-9 years
- Career switching
- Moderate
Where this career leads
How people arrive here
Where you can go from here
Typical progression
- Junior Data Scientist
- Data Scientist
- Senior Data Scientist
- Principal Quant / Head of Data Science
Future outlook
- Automation probability
- 22% to routine model monitoring is automatable but model design and risk interpretation remain human-led
- AI disruption risk
- Moderate
- Demand trend
- Growing Fast
How people feel about it
- Overall satisfaction
- 3.8/10
- Meaning
- 3.5/10
- Work-life balance
- 3.2/10
- Prestige
- 8.5/10
- Social perception
- Very High