Mathematician

TenViz Predictive Analytics builds AI-powered solutions for Fortune 100 investors to anticipate market shifts. We are seeking a Mathematician to design predictive models combining financial expertise, mathematical rigor, and AI research for institutional investors.

• Design predictive models using probabilistic, ML, and hybrid approaches
• Analyze large-scale financial datasets to detect hidden patterns and early regime shifts
• Prototype and evaluate algorithms, from deep learning to Bayesian models
• Write production-grade research code in Python/SQL that integrates into pipelines
• Translate results into insights and themes investors can act on

• BSc/MSc in Math, Physics or related field with solid background in statistics, linear algebra and probability theory
• Advanced Linear Algebra and Advanced Statistics knowledge
• 2+ years in data research, quantitative modeling, ML prototyping, and backtesting
• Skilled in Python, SQL, Git
• Experience with experiment tracking, pipeline orchestration and workflow automation
• Nice to have: Bayesian inference, reinforcement learning, ensemble methods, financial econometrics, time-series forecasting, or regime modeling

Schedule: Full-time, Flexible Hours - Shifted schedule to EST (New York) timezone

Location: Remote

Benefits: Paid vacation & holidays (after 8 months), Continuous learning with advanced ML/DL workshops, probabilistic methods, optimization training, Supportive collaborative team with no micromanagement