TenViz is a FinTech product company, managed from NY. Here are reasons why you might consider joining us:
If you are interested in working with world-class clients from Fortune 100
If you are passionate about Artificial Intelligence and Machine Learning
If you want to work remotely from home on a flexible schedule.
If you are interested in working with world-class clients from Fortune 100
If you are passionate about Artificial Intelligence and Machine Learning
If you want to work remotely from home on a flexible schedule.
Website:
https://tenviz.com/
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· 179 views · 11 applications · 10d
ML Researcher / Mathematician
Full Remote · Ukraine · Product · 2 years of experience · B1 - IntermediateRemote – Full-time – Flexible Hours - Shifted schedule to EST (New York) timezone About TenViz TenViz Predictive Analytics builds AI-powered solutions that help Fortune 100 investors anticipate market shifts before they become consensus. We combine...Remote – Full-time – Flexible Hours - Shifted schedule to EST (New York) timezone
About TenViz
TenViz Predictive Analytics builds AI-powered solutions that help Fortune 100 investors anticipate market shifts before they become consensus. We combine financial expertise, mathematical rigor, and AI research to deliver predictive analytics for institutional investors.
Your Expertise
- Strong interest in quantitative and algorithmic approaches
- BSc/MSc in Math, Physics or related field with solid background in statistics, linear algebra and probability theory
- 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, or ensemble methods
- Financial econometrics, time-series forecasting, or regime modeling
What You’ll Do
- 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 — not just outputs
Example projects:
- Forecasting inflation via commodity price signals
- Constructing probabilistic forecasts of currency moves around macroeconomic announcements
- Designing a Bayesian model to estimate recession probabilities from yield curve dynamics
- Designing a regime-aware ML pipeline that switches models depending on market conditions
- Creating hybrid ensembles that outperform traditional benchmarks
What’s in It for You
- Remote-first, flexible hours
- Paid vacation & holidays (after 8 months)
- Continuous learning: advanced ML/DL workshops, probabilistic methods, optimization
- Supportive, collaborative team — no micromanagement, focus on trust and creativity
- Work on real financial problems where your models influence billion-dollar decisions