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
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
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