Monstro is looking to solve the problem of helping people and institutions manage money by building a modern foundation for financial decision-making using intelligence, automation, and elegant design.
Requirements
- 7+ years of experience in data science, machine learning, or a related quantitative field
- Strong proficiency in Python and SQL
- Deep expertise in machine learning—supervised and unsupervised methods, deep learning, and model evaluation
- Experience building recommendation systems or personalization engines
- Solid foundation in statistics, experimental design, and causal inference
- Experience with time-series analysis and forecasting techniques
- Familiarity with NLP techniques and working with unstructured data
Responsibilities
- Design and build recommendation systems that deliver tailored financial insights and next-best-actions to users
- Build predictive models that anticipate user needs, identify risks, and surface opportunities across their financial landscape
- Design and analyze experiments to measure the impact of product changes and model improvements
- Extract insights from unstructured financial data using NLP techniques
- Partner with Data Engineers to define and build features that power ML models
- Collaborate with ML Engineers and Data Engineers to deploy models to production
- Mentor junior data scientists and analysts, raising the bar for scientific rigor across the team
Other
- Advanced degree (MS or PhD) in Statistics, Computer Science, Economics, or a related quantitative discipline
- Strong communication skills with the ability to translate technical concepts for diverse audiences
- Genuine curiosity and passion for using data to solve meaningful problems
- Background in fintech, wealth management, or financial services (nice to have)
- Ability to work in a hybrid or remote environment with periodic in-person collaboration
