or apply directly on Cobre's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 15 days Cobre's roles stay open a median of 43 days
- Reposted
- No
- Salary listed
- No 0% of Cobre's roles list one
- Ghost-job risk at Cobre
- high 9 stale, 0 reposted of 21 open
- Hiring momentum
- 29 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Cobre's own greenhouse board since 2026-08-03. Full hiring picture for Cobre.
About this role
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.
- benefits
- 1/5
- freshness
- 4/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Cobre as an employer.
What you need
- 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)
Worth weighing
- 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
Summarised from Cobre's posting. Read the full original.
Listed by Cobre on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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