Specialized Analytics Lead Analyst - Vice President

Discover your future at Citi

Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.

Job Overview

Whether you’re at the start of your career or looking to discover your next adventure, your story begins here.  At Citi, you’ll have the opportunity to expand your skills and make a difference at one of the world’s most global banks.  We’re fully committed to supporting your growth and development from the start with extensive on-the-job training and exposure to senior leaders, as well as more traditional learning.  You’ll also have the chance to give back and make a positive impact where we live and work through volunteerism.

Shape your Career with Citi

We’re currently looking for a high caliber professional to join our team as Vice President, Specialized Analytics Lead Analyst - Hybrid (Internal Job Title: Job Profile Specialized Analytics Ld Anlst - C13) based in, Hong Kong.  Being part of our team means that we’ll provide you with the resources to meet your unique needs, empower you to make healthy decision and manage your financial well-being to help plan for your future.  For instance:

• Citi provides access to an array of learning and development resources to help broaden and deepen your skills and knowledge as your career progresses.
• We offer our employees resources and tools to volunteer in the communities in which they live and work. In 2019, Citi employee volunteers contributed more than 1 million volunteer hours around the world.

The Specialized Analytics Lead 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 an 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.

In this role, you’re expected to:

• 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.

As a successful candidate, you’d ideally have the following skills and exposure

• 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

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

Working at Citi is far more than just a job. A career with us means joining a family of more than 230,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.

Take the next step in your career, apply for this role at Citi today

https://jobs.citi.com

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Job Family Group:

Decision Management

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Job Family:

Specialized Analytics (Data Science/Computational Statistics)

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Time Type:

Full time

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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