Data Scientist

Навыки

• BI-инструменты
• Коммуникация
• Machine Learning
• NumPy
• Pandas
• 152-ФЗ / персональные данные
• Решение задач

Задачи

• 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

Требования

• 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

Условия

• 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
• Plata's mission is to simplify the financial experience, make it more accessible, user-friendly, and reliable

Паспорт вакансии

История публикации

Откуда что взялось

Отмечено то, что вывели мы. Без пометки — значение назвал работодатель.

Почему на этом месте в выдаче

Порядок выдачи объявлен контрактом: свежесть решает между днями, полнота и зарплата — внутри дня.