Data Scientist [Integrated Risk Management] at Plata Card
May no longer be active — verify on the employer site
At a glance
- Company
- Plata Card
- Location
- Germany
- Work arrangement
- On-site
- Employment type
- Full-time
- Experience
- 2–5 years
- Working hours
- 40 hours
- Visa sponsorship
- Offered, according to the listing
- Posted
- Added to The Stack
✨ The Stack take on this Plata Card job
- 🏢 Plata Card has 34 jobs here, 34 with visa sponsorship see all
- 🛂 Visa: EU Blue Card. Minimum salary: €50,700 a year guide
- 💡 No salary shown. Ask Plata Card if it is above the minimum.
Updated 2026-11-03, from our data and official sources.
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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.
Key skills
- Data Science — in 86 other listings on The Stack
- Risk Modeling — in 4 other listings on The Stack
- Statistical Modeling — in 10 other listings on The Stack
- Probability Theory — in 5 other listings on The Stack
- Uncertainty Quantification — in 1 other listing on The Stack
- Predictive Modeling — in 23 other listings on The Stack
- Python — in 1173 other listings on The Stack
- R — in 44 other listings on The Stack
- Pandas
- NumPy
- SciPy
- Statsmodels
- Scikit-learn
- Forecasting
- Machine Learning
- Quantitative Analytics
On The Stack (as of 2026-11-03)
Frequently asked questions about Plata Card
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.