Senior Data Scientist

About fintastic

fintastic is on a mission to reinvent financial planning and analysis for the modern enterprise. We've built the most advanced and scalable FP&A platform on the market, already replacing legacy giants like Anaplan and Workday Adaptive at companies such as Priceline, Gigamon, Scale AI, Nextech, and more. After years of deep technical investment, we launched commercially last year and are growing rapidly, backed by top-tier VCs and strategic operators.

We’re looking for curious, driven, and collaborative people to join us as we scale.

Role Overview

We're seeking a Senior Data Scientist who thrives at the intersection of mathematics, machine learning, and financial technology. You'll play a pivotal role in developing our next-generation FP&A platform, working on everything from GenAI applications to our proprietary calculation engine. This is an opportunity to shape the future of financial planning through innovative data science solutions.

Key Responsibilities

• Design and implement GenAI agents for automated financial analysis and reporting
• Build intelligent automation systems that streamline FP&A workflows
• Develop and deploy time series forecasting models for financial planning
• Build classical prediction models for various financial metrics and KPIs
• Implement Monte Carlo simulations for risk analysis and scenario planning
• Optimize model performance and ensure scalability across large datasets
• Contribute to our proprietary IP calculation engine using NumPy and Numba

What We're Looking For

• 7+ years of experience in data science, machine learning, or related fields with proven track record of delivering production-ready data science solutions
• Advanced degree (MS/PhD) in Mathematics, Statistics, Computer Science, Physics, or related quantitative field
• Strong mathematical foundation, particularly in linear algebra and statistical modeling
• Expert-level Python proficiency with deep knowledge of NumPy ecosystem
• Builder mentality - you love creating solutions and shipping features quickly
• Dual interest in both GenAI applications and traditional machine learning approaches
• Financial domain curiosity - eager to understand and solve complex financial problems
  

Technical Skills

• Required: Python, NumPy, statistical modeling, machine learning fundamentals, Experience with LLMs, agent framework
• Advantage: Numba, financial modeling, time series analysis, Monte Carlo methods, PyTorch, deep learning frameworks

Personal Qualities

• Mathematical thinker who enjoys solving complex analytical problems
• Pragmatic approach to model development and deployment
• Strong problem-solving skills with attention to detail
• Collaborative team player who can work effectively with cross-functional teams
• Continuous learner who stays current with AI/ML advancements