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data scientist in fintech

25 дн. назад

Коротко

Develops statistical and predictive models for credit portfolios, NPV models, and financial metrics; designs diagnostic and forecasting models for risk; works · Needs: M.S. or Ph.D. in Statistics, Computer Science, Mathematics, Physics, Economics, or related; 4+ years in Data Science, Quantitative Analytics, or Risk Modeling.

Описание от работодателя

Описание: Plata is a high-tech financial platform that is changing the way Mexicans interact with money. Its mission is to simplify the financial experience and make it more accessible, user-friendly, and reliable. Задачи: Develop and implement advanced statistical models for credit portfolios at per-account and aggregate levels to predict behavior and optimize performance; Create NPV models and their core components for various credit products on a per-account basis; Model financial metrics including FX position, liquidity, reserves, and other balance sheet items; Analyze and model expected outcomes, deviations, distributions, and uncertainty in financial and risk data; Design diagnostic and forecasting models to identify, monitor, and mitigate organizational risks; Partner with cross-functional stakeholders to investigate model performance, understand deviations from expectations, and improve decision-making; Contribute to quantitative methodologies and risk frameworks across credit, financial, and operational risk domains. Требования: M.S. or Ph.D. in Statistics, Computer Science, Mathematics, Physics, Economics, or a related quantitative field; 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 Pandas, NumPy, SciPy, Statsmodels, or Scikit-learn; Experience with classical statistical methods, forecasting techniques, and modern machine learning approaches; 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 technical and non-technical stakeholders; English at B1 level. Условия: Relocation support to one of the hubs in Mexico, Cyprus, Spain, Serbia, or Georgia, including assistance for the employee and their family; Remote work from anywhere with overlap during the first half of the business day in Mexico; Healthcare coverage; Education budget for language lessons, professional training, and certifications; Wellness budget for mental health and fitness activity reimbursements; 20 Days of annual leave and paid sick leave.