Dif.tech (Plata)·Worldwide·11 авг.
Data Scientist
🌍 УдалённоSeniorПолная занятостьАнглийский B1
60
Хорошие условия
Навык востребован (Python), за такой навык на рынке платят больше. Но вилки нет, про деньги придётся договариваться с нуля.
Описание вакансии
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
Dif.tech (Plata)
Worldwide
ГрейдSenior
ЗанятостьПолная занятость
ФорматУдалённо
ИсточникСкрыто
Опубликовано11 авг.
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