# Data Scientist [Integrated Risk Management] at Plata Card

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> Responsibilities: - Develop and implement advanced statistic

- **Company:** Plata Card (https://jobs.trythestack.co/companies/plata-card)
- **Location:** Germany
- **Work arrangement:** On-site
- **Employment type:** Full-time
- **Experience level:** 2–5 years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** Data Science, Risk Modeling, Statistical Modeling, Probability Theory, Uncertainty Quantification, Predictive Modeling, Python, R, Pandas, NumPy, SciPy, Statsmodels, Scikit-learn, Forecasting, Machine Learning, Quantitative Analytics
- **Posted by employer:** 2026-08-04
- **Added to The Stack:** 2026-08-08
- **Status:** May no longer be active (posted more than 60 days ago)
- **Apply:** https://plata.careers/vacancy/details?id=5261900008&gh_jid=5261900008 (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/data-scientist-integrated-risk-management-plata-card

## About the role

Responsibilities:
- Develop and implement advanced statistical and predictive models for credit at both per-account and portfolio levels.
- Build NPV and per-account valuation components for various credit products and simulate balance-sheet impacts (FX, liquidity, reserves).
- Model distributions, uncertainty, confidence intervals, and other probabilistic metrics rather than only point estimates.
- Design diagnostic and forecasting models to identify, monitor, and mitigate risks across credit, financial, and operational domains.
- Collaborate with stakeholders to investigate model performance, explain deviations, and improve decision processes.
- Contribute to quantitative methodologies and risk frameworks used across the organization.

Requirements:
- M.S. or Ph.D. in a quantitative discipline (Statistics, Math, Physics, CS, Economics or similar).
- 4+ years of hands-on experience in data science, quantitative analytics, or risk modeling.
- Strong statistical modeling, probability theory, and uncertainty quantification skills.
- Proficiency in Python or R and libraries such as Pandas, NumPy, SciPy, Statsmodels, Scikit-learn.
- Experience with financial/stochastic datasets and forecasting methods; ability to communicate complex concepts to technical and non-technical audiences.
- Proven ability to drive analytical projects from problem definition to production-ready solutions.

## Responsibilities

Develop and implement advanced statistical and predictive models to support risk management across credit, financial, and operational domains. Partner with cross-functional stakeholders to analyze model performance, identify risks, and improve organizational decision-making processes.

## Requirements

Requires an M.S. or Ph.D. in a quantitative field and at least 4 years of hands-on experience in data science or risk modeling. Candidates must possess strong proficiency in Python or R and a deep understanding of statistical modeling and uncertainty quantification.

## FAQ

- **Is this Data Scientist [Integrated Risk Management] role still open?** It was posted on 2026-08-04. Listings more than 30 days old may no longer be active, so check Plata Card's site before applying.
- **Does Plata Card offer visa sponsorship?** This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Plata Card's site.
- **Where is this role located?** The listing gives the location as Germany. It is marked on-site.
- **What skills does this role ask for?** The listing names: Data Science, Risk Modeling, Statistical Modeling, Probability Theory, Uncertainty Quantification, Predictive Modeling, Python, R, Pandas, NumPy, SciPy, Statsmodels, Scikit-learn, Forecasting, Machine Learning, Quantitative Analytics.

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