AI/LLM Engineer (Quantitative Finance)

ATTIX APAC PTE. LTD.; Singapore; Hybrid; SGD 70,000 - 110,000; Full time

Job summary

A leading fintech firm in Singapore is looking for an AI/LLM Engineer to architect and implement innovative solutions for financial analysis and algorithmic trading. The successful candidate will have strong skills in Python, SQL, and cloud services with a focus on developing intelligent systems that enhance trading strategies and portfolio management. The position offers a hybrid work model and requires 3-7 years of relevant experience.

Benefits

Hybrid working

Flexible working hours

Qualifications

• 3-7 years of AI/ML development experience, preferably in fintech.
• Hands-on experience with LLM frameworks and RAG architectures.
• Strong knowledge of machine learning and options pricing models.

Responsibilities

• Develop and deploy LLM-based systems for financial analysis.
• Build and optimize machine learning models for portfolio management.
• Design APIs for model serving and maintain cloud infrastructure.
• Develop algorithmic trading systems and validate strategies.

Skills

Python proficiency

SQL proficiency

LLM frameworks experience

RAG architectures

Machine learning knowledge

Options mechanics knowledge

AWS services experience

API development skills

Tools

AWS (S3, Athena, EC2, Lambda)

LangChain

LlamaIndex

Job description

As an AI/LLM Engineer at Attix, you'll build and deploy cutting‑edge AI and machine learning systems for quantitative finance applications. This role goes beyond traditional chatbot development—you'll architect intelligent systems that process complex financial data, generate actionable trading insights, optimize portfolio strategies, and build user‑centric portfolio management systems. Your work will directly impact how we leverage AI to understand markets, identify opportunities, build alpha‑generating strategies, and empower our users to leverage sophisticated financial tools in their wealth management journey.

• Hybrid working
• Monday - Thursday 8 AM - 6 PM; Friday 8 AM - 5:30 PM

Key Responsibilities

AI/LLM System Development

• Design and implement LLM‑based systems for financial analysis, including processing unstructured data from earnings reports, financial news, market sentiment, and alternative data sources
• Build multi‑agentic frameworks and RAG pipelines tailored for financial use cases
• Develop and optimize vector embeddings and semantic search capabilities for financial documents and market data
• Build MCP or tool repositories for various internal agentic systems to use

Quantitative Model Development

• Build and deploy machine learning models for alpha factor generation, portfolio optimization, and trading signal generation
• Develop predictive models for market regime detection, risk assessment, and return forecasting
• Implement and optimize models for options pricing, volatility modeling, and derivatives strategies

Backend & Infrastructure

• Design and maintain robust APIs for model serving, data pipelines, and system integrations
• Manage AWS infrastructure including S3, Athena, EC2, Kubernetes, Lambda, and other cloud services
• Build scalable data pipelines for real‑time and batch processing of market data
• Implement monitoring, logging, and alerting systems for production ML models

Trading Systems & Backtesting

• Develop and maintain algorithmic trading systems with emphasis on options strategies
• Build comprehensive backtesting frameworks to validate strategies across different market conditions
• Optimize trade execution logic, position sizing, and risk management algorithms
• Collaborate on building real‑time trading infrastructure with robust error handling

Cross‑Functional Collaboration

• Work closely with quantitative researchers, traders, and product teams to translate requirements into technical solutions
• Take ownership of projects from conception through deployment and monitoring
• Document technical decisions, system architectures, and model performance
• Mentor junior team members and contribute to best practices

Requirements

Required Experience & Skills

• 3-7 years of relevant experience in AI/ML development, with preference for fintech or quantitative finance backgrounds
• Strong proficiency in Python and SQL for data manipulation and model development
• Hands‑on experience with LLM frameworks (LangChain, LlamaIndex, or similar)
• Deep understanding of RAG architectures, vector databases, embeddings, and semantic search
• Experience building multi‑agentic systems and orchestration frameworks
• Solid foundation in machine learning, deep learning, and statistical modeling
• Strong knowledge of options mechanics, pricing models, and derivatives strategies
• Experience with AWS services: S3, Athena, EC2, Lambda, Kubernetes, and related infrastructure
• Proficiency in API development and integration
• Understanding of data engineering principles and pipeline orchestration

Strongly Preferred

• Experience in algorithmic trading and systematic strategy development
• Familiarity with backtesting frameworks and performance attribution analysis
• Knowledge of market microstructure, order types, and execution algorithms
• Understanding of portfolio theory, risk management, and performance metrics

Personal Attributes

• Strong problem‑solving skills with ability to work independently on complex challenges
• High initiative and ownership mentality—comfortable taking projects from idea to production
• Excellent communication skills to bridge technical and business stakeholders
• Deep curiosity about financial markets and quantitative approaches
• Meticulous attention to detail in model development and production systems
• Adaptability to work in a fast‑paced, evolving environment

Only shortlisted candidates will be notified.