Data Scientist [Integrated Risk Management]

Plata Card; United States; Remote; USD 120,000 - 190,000; Full time

Benefits offered by this job

Relocation support

Remote work globally

Healthcare Coverage

Education Budget

Wellness Budget

Vacation 20 days

Job summary

Plata Card is seeking a Data Scientist for its Integrated Risk Management team to develop risk models and analytical frameworks that support decisions across credit, financial, and operational risk. You will work on complex quantitative challenges, build predictive and diagnostic models, and partner with stakeholders to improve risk visibility and portfolio performance.

You will apply strong statistical modeling and machine learning techniques, quantify uncertainty, and collaborate with

Qualifications

• MS/PhD in statistics, CS, math, physics, econ or related field.
• 4+ years of hands-on Data Science, Quant Analytics, Risk Modeling, or similar.
• Strong stats, probability, uncertainty quantification.
• Experience with predictive models and stochastic datasets.

Responsibilities

• Develop risk models and analytical frameworks for credit, financial, and operational risk.
• Build predictive and diagnostic models; quantify uncertainty.
• Collaborate with stakeholders to improve risk visibility and decision-making across the org.
• Model distributions, confidence intervals, and risk metrics beyond point estimates.

Skills

Statistical modeling

Python

R

Uncertainty quantification

Communication

Problem-solving

Education

MS/PhD in quantitative field

Tools

Pandas

NumPy

SciPy

Statsmodels

Scikit-learn

Job description

We are looking for a Data Scientist for our Integrated Risk Management team to help develop risk models and analytical frameworks that support key business decisions across credit, financial, and operational risk domains. In this role, you will work on complex quantitative challenges, build predictive and diagnostic models, and partner with stakeholders across the organization to improve risk visibility, portfolio performance, and decision-making.

Challenges that await you:

• Develop and implement advanced statistical models for our credit portfolio at both per-account and aggregate levels to predict behavior and optimize performance
• Create sophisticated Net Present Value (NPV) models and their core components on a per-account basis for our various credit products
• Model critical financial metrics, including FX position, liquidity, reserves, and other balance sheet items to support robust financial management
• Analyze and model not only expected outcomes but also their deviations, distributions, and uncertainty, recognizing the inherently probabilistic nature of financial and risk data
• Design diagnostic and forecasting models that help identify, monitor, and mitigate risks across the organization
• Partner with cross-functional stakeholders to investigate model performance, understand deviations from expectations, and improve decision-making processes
• Contribute to the development of quantitative methodologies and risk frameworks across credit, financial, and operational risk domains

What makes you a great fit:

• M.S. or Ph.D. in a quantitative field such as Statistics, Computer Science, Mathematics, Physics, Economics, or a related discipline
• 4+ years of hands-on experience in Data Science, Quantitative Analytics, Risk Modeling, or a similar role
• Strong understanding of statistical modeling, probability theory, and uncertainty quantification
• Experience developing predictive models and working with financial, risk, or other highly stochastic datasets
• Strong proficiency in Python or R and experience with statistical and analytical libraries (e.g., Pandas, NumPy, SciPy, Statsmodels, Scikit-learn)
• Experience with classical statistical methods, forecasting techniques, and modern machine learning approaches when appropriate
• Experience modeling distributions, confidence intervals, and risk metrics rather than focusing solely on point estimates
• Strong problem-solving skills and ability to independently drive analytical initiatives from problem definition to implementation
• Excellent communication skills with the ability to explain complex concepts to both technical and non-technical stakeholders

Our ways of working:

• Innovative Spirit: a commitment to creativity and groundbreaking solutions
• Honest Feedback: valuing open, transparent communication
• Supportive Team: a strong, collaborative community
• Celebrating Achievements: recognizing our wins together
• High-Tech Environment: a team of smart and ambitious people who challenge the status quo of traditional finance

Our benefits:

• Relocation support to one of our hubs — Mexico, Cyprus, Spain, Serbia, or Georgia — with assistance for the employee and their family
• Work remotely from anywhere, provided you can maintain overlap with the first half of the business day in Mexico
• Healthcare Coverage
• Education Budget: language lessons, professional training, and certifications
• Wellness Budget: mental health and fitness activity reimbursements
• Vacation policy: 20 days of annual leave and paid sick leave