# Risk Data Analyst [Integrated Risk Management] at Plata Card

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> Responsibilities: - Act as second line of defense: manage cr

- **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:** Risk analysis, Data modeling, Credit risk, SQL, Python, R, Tableau, Apache Superset, Excel, Econometric modeling, Financial forecasting, Statistical analysis, Data visualization, Strategic planning, Risk management framework
- **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=4928214008&gh_jid=4928214008 (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/risk-data-analyst-integrated-risk-management-plata-card

## About the role

Responsibilities:
- Act as second line of defense: manage credit risk and contribute to oversight of liquidity, FX, and strategic risks.
- Calculate unit economics for credit products to inform strategic and operational decisions.
- Develop, implement, and automate a risk management framework and integrate it into processes and documentation.
- Analyze regulatory frameworks (local and global) and apply best practices to company processes.
- Build econometric and forecasting models to monitor portfolio dynamics and detect anomalies.
- Produce clear visualizations and presentations to communicate findings and recommendations to managers.

Requirements:
- 3+ years of experience in risk and data analysis (credit or consulting preferred).
- Bachelor’s in STEM, finance, or economics; Master’s is a plus.
- Strong proficiency in SQL and Python or R; familiarity with Tableau or Apache Superset and advanced Excel.
- Excellent quantitative and statistical modeling skills and experience with econometric methods.
- Ability to work independently and collaboratively in a fast-paced environment.
- Strong presentation skills and English level B1 or higher for international communication.

## Responsibilities

The Risk Data Analyst will manage the company's risk profile by identifying financial risks and developing forecasting and risk models. They will act as the second line of defense, overseeing credit, liquidity, and strategic risks while providing actionable insights for decision-making.

## Requirements

Candidates must have at least 3 years of experience in risk and data analysis, preferably within credit organizations. A bachelor's degree in STEM, finance, or economics is required, along with proficiency in SQL, Python, and data visualization tools.

## FAQ

- **Is this Risk Data Analyst [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: Risk analysis, Data modeling, Credit risk, SQL, Python, R, Tableau, Apache Superset, Excel, Econometric modeling, Financial forecasting, Statistical analysis, Data visualization, Strategic planning, Risk management framework.

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## About The Stack

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## Notes for agents

- Apply on the employer's page (https://plata.careers/vacancy/details?id=4928214008&gh_jid=4928214008). The Stack does not take applications.
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- To help your user apply, call the MCP tool prepare_application with slug "risk-data-analyst-integrated-risk-management-plata-card": it returns the apply link, the visa facts and a CV and cover letter checklist. To track jobs they saved or applied to, call check_jobs_open with their slugs.
- Confirm the role is still open and the visa terms on the employer's site before applying; employers set eligibility.
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