Senior data scientist (large language model/credit risk modelling), AVP/VP, Hong Kong

Job Description

The Specialized Analytics Ld Analyst is a strategic professional who stays abreast of developments within own field and contributes to directional strategy by considering their application in own job and the business. The successful candidate will work as an analytical individual contributor under Institutional Credit Management – Portfolio Management - Analytics and Infrastructure Data Scient team. The team is staffed with a group of data, analytics, Artificial Intelligence and technology professionals from multiple geo-locations: London, Singapore and Hong Kong. The team serves a in-business analytics and technology function to provide best-in-class analytics and AI solution and implementation for other ICM PM functions comprised of subject matter expert from Credit Risk and Business domain including Portfolio Health Monitoring, Covenant Monitoring, Exception Management, Limits Management, Early Warning Credit Management and Counterparty Credit Risk.

Responsibilities

• Drive AI/Machine Learning development and implementation especially around Generative AI Large Language Model for Wholesale Lending and Counterparty Credit Risk analytics. 
• Work independently or collaboratively (depending on the circumstance) to help business stakeholders to identify analytical/technical opportunities to improve the existing process or address existing pain points.
• Work with large and complex data sets (both internal and external data) to evaluate, recommend, and support the implementation of credit risk strategies using a variety of programing and AI tools (e.g. SQL, Python, C, Spark, Sikilearn, Tensorflow, PyTorch, HuggingFace, Large Language Model etc.).
• Design and implement Early Warning Indicators for Credit Risk, Counterparty Risk, Portfolio Health, Covenant Monitoring using either traditional statistical approach or advanced AI/ML modeling, graph analytics approach.
• Design and implement statistical and risk-driven solution for Limits Management and Exception Management.
• Be actively involved in and responsible for elements of the design / implementation / coding of feature driven analytic models, including data structure / design to support the delivery of such.
• Responsible for all the Risk and Controls requirement in analytics or technical process such as documentation, testing, and ongoing performance monitoring.

Qualifications

• 6-10 years of working experience in AI/ML domain preferably in Finance/Risk analytics field
• Must have demonstrated ability in programing skills using Python/C/SQL/Spark for data processing and data analytics.
• Must have solid knowledge and implementation experience of basic AI/Machine Learning such as Logistics Regression, Support Vector Machine, Random Forrest, Isolation Forrest, XGBoost.
• Must have solid knowledge and implementation experience of Large Language Model pipeline: Pre-trained LLM (such as Llama, Mistral), GPT, RAG, Fine-tuning, Prompt Engineering. Vector DB, LangChain, LlamaIndex etc.
• Working knowledge of Graph Analytics and the relevant tools such as TigerGraph, Neo4j etc. will be a huge plus.
• Working experience in Wholesale Credit Risk (Lending or Counterparty) analytics is not a must but a plus.
• Excellent analytic ability and problem solving skills.
• Excellent communication and interpersonal skills, be organized, detail oriented, and adaptive to matrix work environment

Education

• Bachelors/University degree, Master’s degree preferred

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