- Bedok East Region (Singapore) Singapore
CITICORP INVESTMENT BANK (SINGAPORE) LIMITED Hiring! Full Time 261000356 AI Engineer – Global Rates, APAC Local Markets Sales - Trading in East Region (Singapore), Earn up to SGD 29,200 - Ricebowl
261000356 AI Engineer – Global Rates, APAC Local Markets Sales - Trading
CITICORP INVESTMENT BANK (SINGAPORE) LIMITED
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Job Description
Responsibilities
The
Global Rates
business is seeking an exceptional AI Engineer to support our
APAC Local Markets rates
Sales & Trading desk, driving the development and implementation of cutting-edge artificial intelligence and data-driven solutions that will transform our pricing, trading, risk management, and client service capabilities across the region's local rates markets. This role sits at the intersection of advanced AI/ML technology and financial markets, offering the opportunity to build innovative solutions that directly impact revenue generation, pricing precision, and trading risk management.
As an AI Engineer within Global Rates supporting APAC Local Markets, you will work directly alongside rates traders and sales professionals on the desk, translating fast-moving market needs into production-grade analytical tools. A core focus of the role is
pricing optimization, bid-offer spread calibration, and the application of modern machine learning and generative AI techniques
to sharpen client pricing and enhance trading risk management across local rates products. You will also be responsible for building the
dashboards, visualizations, and alerting systems
that empower sales and trading to detect shifts in client behavior, surface new sales opportunities, and pursue revenue optimization strategies.
Success in this role demands a proactive individual who is comfortable facing off directly to traders and sales people, thrives in a fast-paced trading floor environment, and can react quickly to changes in market needs.
Key Responsibilities
Pricing Optimization & Trading Analytics
Design, develop, and deploy models and tooling for
pricing optimization and bid-offer spread calibration
across APAC local rates products
Investigate and apply
modern machine learning techniques
to improve client pricing accuracy, competitiveness, and profitability
Build analytical solutions that strengthen
trading risk management
, including risk identification, hedging insight, and exposure monitoring
Partner with rates traders to rapidly prototype, test, and refine pricing and risk models in response to evolving market conditions
Dashboards, Visualization & Alerting
Build intuitive
dashboards and visualizations
for rates sales and trading to monitor client activity, pricing performance, and market dynamics
Develop
alerting systems
that flag changes in client behavior, emerging sales opportunities, and other revenue optimization signals
Translate complex data and model outputs into clear, actionable insights for a non-technical trading floor audience
Iterate quickly on tooling based on direct feedback from the desk
Generative AI & Machine Learning Solution Development
Design, develop, and deploy production-ready AI/ML applications leveraging
generative AI techniques
, including large language models (LLMs), retrieval-augmented generation (RAG), and agentic frameworks
Apply generative AI to enhance trading workflows, client pricing insight, research summarization, and desk automation
Build intelligent automation to streamline repetitive trading and sales analytics tasks
Implement guardrails, validation frameworks, and monitoring for deployed AI/ML models and applications
Data Engineering & Integration
Design and build data pipelines to support analytics and ML workflows, integrating market data, trade data, and client activity data
Develop robust ETL processes for preparing model inputs and maintaining curated datasets
Leverage open-source frameworks such as
Trino, Parquet, AWS S3, and Airflow
to build scalable, high-performance data infrastructure
Create APIs and services to integrate analytics and AI capabilities into existing trading and sales platforms
Collaboration & Innovation
Partner directly with
rates traders and sales people
to identify high-impact use cases and deliver solutions at the speed the desk requires
Collaborate with quantitative researchers to integrate AI/ML techniques into rates pricing and risk models
Work with compliance and risk teams to ensure solutions meet regulatory and governance requirements
Stay current with emerging AI/ML technologies and evaluate their applicability to Global Rates and APAC Local Markets needs
Contribute to the firm's AI/ML community of practice and knowledge-sharing initiatives
Required Qualifications
Education
Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Artificial Intelligence, or a related quantitative field
Strong academic foundation in algorithms, data structures, statistics, and software engineering principles
Professional Experience
1–5 years of professional experience in AI/ML engineering, quantitative development, software development, or data science roles
Demonstrated experience building and deploying production analytical or AI applications
Proven track record of delivering end-to-end technical solutions, ideally in a fast-paced or front-office environment
Technical Skills – Core Requirements
Generative AI & Machine Learning:
Strong grounding in
statistics and modern machine learning techniques
, with the ability to apply ML to real-world problems such as pricing, forecasting, anomaly detection, or behavioral analysis
Hands-on experience with
generative AI techniques and large language models
(GPT, Claude, Llama, etc.)
Practical experience implementing
Retrieval-Augmented Generation (RAG)
systems
Experience with
agentic frameworks and autonomous coding systems
Agentic Coding Tools:
Comfort and hands-on proficiency with
agentic coding tools and AI-assisted development workflows
(e.g., agentic IDEs and coding assistants) to accelerate delivery
Ability to effectively orchestrate, review, and validate AI-generated code within a production-grade engineering process
Programming & Development:
Strong proficiency in
Python
Strong
SQL
skills
Front-End Architecture (Beneficial):
Solid knowledge of
front-end architecture and modern web development
, including
JavaScript, HTML/CSS
, and a modern component framework such as
Angular or React
Ability to design and build responsive, performant, and maintainable user interfaces for dashboards, visualizations, and alerting tools used on the trading floor
Understanding of front-end architectural patterns — component-based design, state management, API/data integration, and reusable UI component libraries
Experience with data-visualization libraries (e.g., D3.js, Plotly, Chart.js, or equivalent) to present complex trading and client data clearly and interactively
Awareness of UX best practices for real-time, data-dense financial applications
Data & Open-Source Frameworks (Beneficial):
Knowledge of open-source data frameworks:
Trino, Parquet, AWS S3, and Airflow
Experience building and maintaining scalable data pipelines
Domain Knowledge
Knowledge of financial markets is a major plus
— particularly rates Sales & Trading, APAC local rates products, pricing, and trading risk management
Key Attributes & Ways of Working
Proactive and self-directed
— anticipates the needs of the desk and takes initiative
Comfortable facing off directly to traders and sales people
— able to communicate clearly and credibly with front-office stakeholders
Fast and adaptable
— reacts quickly to changing market needs and shifting priorities
Commercially minded
— understands how technical solutions translate into revenue and risk outcomes
Collaborative
— works effectively across trading, sales, quant, technology, and control functions
Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management.
Global Rates
business is seeking an exceptional AI Engineer to support our
APAC Local Markets rates
Sales & Trading desk, driving the development and implementation of cutting-edge artificial intelligence and data-driven solutions that will transform our pricing, trading, risk management, and client service capabilities across the region's local rates markets. This role sits at the intersection of advanced AI/ML technology and financial markets, offering the opportunity to build innovative solutions that directly impact revenue generation, pricing precision, and trading risk management.
As an AI Engineer within Global Rates supporting APAC Local Markets, you will work directly alongside rates traders and sales professionals on the desk, translating fast-moving market needs into production-grade analytical tools. A core focus of the role is
pricing optimization, bid-offer spread calibration, and the application of modern machine learning and generative AI techniques
to sharpen client pricing and enhance trading risk management across local rates products. You will also be responsible for building the
dashboards, visualizations, and alerting systems
that empower sales and trading to detect shifts in client behavior, surface new sales opportunities, and pursue revenue optimization strategies.
Success in this role demands a proactive individual who is comfortable facing off directly to traders and sales people, thrives in a fast-paced trading floor environment, and can react quickly to changes in market needs.
Key Responsibilities
Pricing Optimization & Trading Analytics
Design, develop, and deploy models and tooling for
pricing optimization and bid-offer spread calibration
across APAC local rates products
Investigate and apply
modern machine learning techniques
to improve client pricing accuracy, competitiveness, and profitability
Build analytical solutions that strengthen
trading risk management
, including risk identification, hedging insight, and exposure monitoring
Partner with rates traders to rapidly prototype, test, and refine pricing and risk models in response to evolving market conditions
Dashboards, Visualization & Alerting
Build intuitive
dashboards and visualizations
for rates sales and trading to monitor client activity, pricing performance, and market dynamics
Develop
alerting systems
that flag changes in client behavior, emerging sales opportunities, and other revenue optimization signals
Translate complex data and model outputs into clear, actionable insights for a non-technical trading floor audience
Iterate quickly on tooling based on direct feedback from the desk
Generative AI & Machine Learning Solution Development
Design, develop, and deploy production-ready AI/ML applications leveraging
generative AI techniques
, including large language models (LLMs), retrieval-augmented generation (RAG), and agentic frameworks
Apply generative AI to enhance trading workflows, client pricing insight, research summarization, and desk automation
Build intelligent automation to streamline repetitive trading and sales analytics tasks
Implement guardrails, validation frameworks, and monitoring for deployed AI/ML models and applications
Data Engineering & Integration
Design and build data pipelines to support analytics and ML workflows, integrating market data, trade data, and client activity data
Develop robust ETL processes for preparing model inputs and maintaining curated datasets
Leverage open-source frameworks such as
Trino, Parquet, AWS S3, and Airflow
to build scalable, high-performance data infrastructure
Create APIs and services to integrate analytics and AI capabilities into existing trading and sales platforms
Collaboration & Innovation
Partner directly with
rates traders and sales people
to identify high-impact use cases and deliver solutions at the speed the desk requires
Collaborate with quantitative researchers to integrate AI/ML techniques into rates pricing and risk models
Work with compliance and risk teams to ensure solutions meet regulatory and governance requirements
Stay current with emerging AI/ML technologies and evaluate their applicability to Global Rates and APAC Local Markets needs
Contribute to the firm's AI/ML community of practice and knowledge-sharing initiatives
Required Qualifications
Education
Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Artificial Intelligence, or a related quantitative field
Strong academic foundation in algorithms, data structures, statistics, and software engineering principles
Professional Experience
1–5 years of professional experience in AI/ML engineering, quantitative development, software development, or data science roles
Demonstrated experience building and deploying production analytical or AI applications
Proven track record of delivering end-to-end technical solutions, ideally in a fast-paced or front-office environment
Technical Skills – Core Requirements
Generative AI & Machine Learning:
Strong grounding in
statistics and modern machine learning techniques
, with the ability to apply ML to real-world problems such as pricing, forecasting, anomaly detection, or behavioral analysis
Hands-on experience with
generative AI techniques and large language models
(GPT, Claude, Llama, etc.)
Practical experience implementing
Retrieval-Augmented Generation (RAG)
systems
Experience with
agentic frameworks and autonomous coding systems
Agentic Coding Tools:
Comfort and hands-on proficiency with
agentic coding tools and AI-assisted development workflows
(e.g., agentic IDEs and coding assistants) to accelerate delivery
Ability to effectively orchestrate, review, and validate AI-generated code within a production-grade engineering process
Programming & Development:
Strong proficiency in
Python
Strong
SQL
skills
Front-End Architecture (Beneficial):
Solid knowledge of
front-end architecture and modern web development
, including
JavaScript, HTML/CSS
, and a modern component framework such as
Angular or React
Ability to design and build responsive, performant, and maintainable user interfaces for dashboards, visualizations, and alerting tools used on the trading floor
Understanding of front-end architectural patterns — component-based design, state management, API/data integration, and reusable UI component libraries
Experience with data-visualization libraries (e.g., D3.js, Plotly, Chart.js, or equivalent) to present complex trading and client data clearly and interactively
Awareness of UX best practices for real-time, data-dense financial applications
Data & Open-Source Frameworks (Beneficial):
Knowledge of open-source data frameworks:
Trino, Parquet, AWS S3, and Airflow
Experience building and maintaining scalable data pipelines
Domain Knowledge
Knowledge of financial markets is a major plus
— particularly rates Sales & Trading, APAC local rates products, pricing, and trading risk management
Key Attributes & Ways of Working
Proactive and self-directed
— anticipates the needs of the desk and takes initiative
Comfortable facing off directly to traders and sales people
— able to communicate clearly and credibly with front-office stakeholders
Fast and adaptable
— reacts quickly to changing market needs and shifting priorities
Commercially minded
— understands how technical solutions translate into revenue and risk outcomes
Collaborative
— works effectively across trading, sales, quant, technology, and control functions
Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management.
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