1 day ago
Singapore, SingaporeEntry Level / Mid Level
Responsibilities
- Design, develop, and deploy machine learning models and tooling for pricing optimization and bid-offer spread calibration across APAC local-rates products.
- Build analytical solutions for trading risk management, including risk identification, hedging insights, and exposure monitoring.
- Partner with rates traders to prototype, test, and refine pricing and risk models in response to market conditions.
- Build dashboards, visualizations, and alerting systems that monitor client activity, pricing performance, market dynamics, sales opportunities, and revenue-optimization signals.
- Develop production-ready generative AI and ML applications using LLMs, RAG, and agentic frameworks for trading workflows, client pricing insight, research summarization, and desk automation.
- Implement guardrails, validation frameworks, and monitoring for deployed AI/ML models and applications.
- Design data pipelines and ETL processes integrating market, trade, and client activity data for analytics and ML workflows.
- Create APIs and services that integrate analytics and AI capabilities into trading and sales platforms.
- Work directly with traders, sales professionals, quantitative researchers, compliance teams, and risk teams to identify use cases and meet governance requirements.
- Evaluate emerging AI/ML technologies and contribute to the firm's AI/ML community of practice.
Requirements
- Bachelor's or master's degree in Computer Science, Data Science, Machine Learning, Artificial Intelligence, or a related quantitative field.
- 1–5 years of professional experience in AI/ML engineering, quantitative development, software development, or data science.
- Experience building and deploying production analytical or AI applications and delivering end-to-end technical solutions.
- Strong grounding in statistics and modern machine learning techniques, with experience applying ML to problems such as pricing, forecasting, anomaly detection, or behavioral analysis.
- Hands-on experience with generative AI, large language models, Retrieval-Augmented Generation systems, agentic frameworks, and autonomous coding systems.
- Strong proficiency in Python and SQL.
- Comfort using agentic coding tools and AI-assisted development workflows, including orchestrating, reviewing, and validating AI-generated code.
- Knowledge of front-end architecture, JavaScript, HTML/CSS, Angular or React, data-visualization libraries, responsive interfaces, component-based design, state management, and API/data integration is beneficial.
- Knowledge of Trino, Parquet, AWS S3, Airflow, and scalable data pipelines is beneficial.
- Knowledge of financial markets, particularly rates Sales & Trading, APAC local-rates products, pricing, and trading risk management, is a major plus.
- Ability to communicate clearly with front-office stakeholders and work collaboratively across trading, sales, quantitative, technology, compliance, and risk functions.
Tech Stack
Categories
About Citi
Citi is a public financial-services company offering consumer and institutional banking, credit cards, wealth management, treasury and trade solutions, and capital-markets services. It serves individuals, corporations, financial institutions, and governments in more than 160 countries and jurisdictions, earning interest and fee income from lending, payments, trading, and advisory. Founded in 1812 and headquartered in New York, it trades on the NYSE under the ticker C.