S&P Global

Lead AI Researcher

S&P Global

full-time

Posted on:

Location Type: Hybrid

Location: Hyderabad • 🇮🇳 India

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Job Level

Senior

Tech Stack

CloudPythonPyTorchScikit-LearnSQLTensorflow

About the role

  • Serve as a domain expert on Generative and Agentic AI for Credit Solutions.
  • Attain fluency in AI applications, including the use of open-source and internal tools, to enhance AI expertise within Credit Solutions.
  • Utilize internal and external AI applications offered by S&P Global to support credit risk analysis and decision-making.
  • Closely monitor emerging technologies, industry adoption, and associated risks, including strengths, limitations, and regulatory guidelines concerning Gen-AI in credit risk.
  • Develop and test new credit risk use cases utilizing data and AI applications within S&P Global across multiple platforms, including data wrangling and cross-referencing.
  • Analyze quantitative and qualitative data from various content sets linked to credit ratings within S&P Global to understand their contributions to credit risk surveillance and risk management workflows.
  • Collaborate with the Credit Solutions Thought Leadership team to develop and work on internal applications within a sandbox environment.
  • Author thought leadership content independently and represent S&P Global at webinars and conferences, focusing on AI advancements in credit risk management.

Requirements

  • Master’s or Ph.D. degree in Data Science, Statistics, Quantitative Finance, Artificial Intelligence, or a related quantitative/computational field.
  • 5-10 years of relevant experience in AI/ML, quantitative roles, or data science.
  • Ph.D. graduates in a statistics/data science/quant finance discipline from an internationally accredited university with hands-on experience in Gen-AI projects may be considered with 0-5 years of experience.
  • Proficient in Python, R, and SQL
  • Experience in accessing data via feeds, cloud, or REST API preferred.
  • Familiarity with GenAI frameworks (e.g., RAG, Agentic AI) and libraries including Hugging Face, TensorFlow, PyTorch, or Scikit-learn preferred.
  • Prior experience in developing predictive analytics, data wrangling of structured and unstructured data, Natural Language Processing, or other emerging AI and automation use cases in financial services.
  • Some knowledge of testing and validating AI models using techniques such as cross-validation, A/B testing, and performance metrics.
  • Strong communication skills with a proven ability to solve problems and engage effectively across functions.
  • Self-starter with a proactive mindset, capable of working independently across multiple groups and stakeholders.
Benefits
  • Health & Wellness: Health care coverage designed for the mind and body.
  • Flexible Downtime: Generous time off helps keep you energized for your time on.
  • Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
  • Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
  • Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
  • Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
PythonRSQLdata wranglingNatural Language Processingpredictive analyticscross-validationA/B testingperformance metricsGen-AI
Soft skills
strong communication skillsproblem-solvingengagement across functionsself-starterproactive mindsetindependent workcollaborationthought leadershipcontent authorshippresentation skills
Certifications
Master’s degreePh.D. degree