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← Cobre

Data Scientist, Liquidity Products Squad

Cobre
Location
LATAM
Posted
19 days ago
Department
Data
What they actually want (must-haves)
  • 4+ years in a data science, quantitative, or applied ML role, ideally in fintech, payments, banking, or another domain with real financial exposure
  • Education: Bachelor's or Master's in Statistics, Applied Mathematics, Operations Research, Physics, Econometrics, Computer Science, or a related quantitative field
  • Experience with optimization techniques—linear programming, mixed-integer programming, or graph-based network optimization—applied to a real operational problem
  • Comfortable designing and running rigorous validation: backtesting, baseline comparisons, A/B or online experimentation for models that make decisions with real consequences
  • Strong Python and SQL skills; experience owning a model from raw data through to a production pipeline
  • Strong analytical foundation—comfortable communicating uncertainty, trade-offs, and model limitations to non-technical stakeholders
Nice to have
  • Hands-on experience with Snowflake (dynamic tables, tasks, Streamlit) and modern Python ML/optimization libraries (e.g. LightGBM, PuLP or similar solvers)
  • Experience with multi-armed bandit or reinforcement-learning approaches to pricing or resource allocation
  • Background in treasury management, cash forecasting, or FX/corridor pricing
  • Exposure to stablecoins or crypto rails (USDT/USDC, Ethereum, Tron, Solana)
  • Previous startup or scale-up experience (Series A/B stage)
What the job really is

As a Data Scientist in the Liquidity Products Squad at Cobre, you will develop and maintain forecasting and optimization models that predict cash flow and make funding recommendations based on real-time data. Your role involves building production models, collaborating closely with product managers and engineers, and ensuring model validation and performance monitoring. You'll work directly with financial data, translating complex model outputs into actionable insights for stakeholders.

Things to weigh
  • No salary listed
  • Role involves significant responsibility with direct financial implications
  • Emphasis on building models for real-time decision-making may require a fast-paced work environment
Job score3/5
Benefits1/5
Freshness4/5
Career value5/5
Role clarity5/5
Pay transparency0/5

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