13 дней назад
Financial Credit Risk Modeler (AI)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Financial Credit Risk Modeler (AI) (GCP/R/SAS/Python): Develop and validate credit risk models while building Generative AI and LLM tools that improve analytical modelers’ workflows, with an accent on predictive modeling, statistical techniques, and cloud-based analytics. Focus on designing AI copilots and automated documentation tools, translating modeling outputs into actionable insights, and applying security and governance controls to internal data.
Location: GBS Chennai, India
Company
is an AI-native, platform-enabled B2B digital agency combining data, technology, creativity, advanced analytics, and artificial intelligence to deliver integrated digital, media, and technology solutions.
What you will do
- Develop, validate, and continually improve credit risk models, including analytical special studies and ad hoc analyses.
- Build and deploy Generative AI tools, LLM applications, AI copilots for code generation, and automated model documentation tools.
- Use GCP, SAS, R, and Python for model development, validation, and cloud-based analytical solutions.
- Apply statistical and machine learning techniques to solve business objectives and translate modeling outputs into actionable insights.
- Collaborate with analytical modelers to understand workflow bottlenecks and create effective AI solutions.
- Ensure internal AI tools meet client data privacy, security, compliance, and governance standards.
Requirements
- Master’s degree in Finance, Financial Engineering, Analytics, Mathematics, Computer Science, Statistics, Industrial Engineering, Operations Research, or a related field.
- Strong understanding of Probability of Default, LGD, EAD, and the credit life cycle.
- Hands-on artificial intelligence experience and extensive GCP experience.
- Knowledge of predictive modeling, statistics, machine learning, linear and logistic regression, ANOVA/ANCOVA, CHAID/CART, and cluster analysis.
- Programming skills in GCP, R, SAS, and Python, plus fluency with Excel, PowerPoint, and Word.
- Strong written and oral communication skills, with the ability to explain complex information clearly.
Nice to have
- Experience in banking, financial services, or credit analytics.
- Familiarity with SAS for code translation or modernization tools.
- Experience in integrated marketing, digital agencies, marketing services, or consulting.
Culture & Benefits
- Full-time employment.
- Medical insurance.
- Provident Fund and gratuity.
- Paid holidays.
- Equal opportunity workplace committed to diverse perspectives and freedom from discrimination.
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