Quantitative Developer - AI Agent

AAA Global; New York (NY); Hybrid; USD 250,000 - 350,000; Full time

Benefits offered by this job

Performance-based bonus potential

Flexible remote working arrangements

Job summary

AAA Global is looking for an AI Agentic Developer to enhance investment research through automation and AI. You will develop autonomous systems that manage financial data and workflows, ensuring effective decision-making.

The ideal candidate has a strong background in AI engineering, particularly with Claude Code, and experience in investments. This role offers flexible working arrangements and competitive compensation.

Qualifications

• Strong hands-on experience with Claude Code.
• Experience building AI agents or LLM-powered applications.
• Experience working with financial, market, or alternative datasets.

Responsibilities

• Design and develop AI agents to automate investment research workflows.
• Build autonomous systems to gather and clean financial datasets.
• Collaborate with investment teams to identify automation opportunities.

Skills

Hands-on experience with Claude Code

Data engineering and data-cleaning

Building data pipelines

Experience with financial datasets

Understanding of retrieval systems

Python

Tools

Docker

GitHub Actions

Snowflake

Vector Databases

FastAPI

LangGraph

LangChain

PydanticAI

Job description

Compensation: USD $250,000–350,000 Total Compensation

Overview

We are seeking an AI Agentic Developer to build and deploy next-generation AI agents focused on equity investing, research automation, and data intelligence. The successful candidate will work closely with investment professionals to develop autonomous systems capable of sourcing, cleaning, structuring, analysing, and synthesising large volumes of financial and alternative data.

This role is particularly well-suited to candidates with experience in long/short equity, long-only asset management, equity research, or quantitative investing who have subsequently developed strong AI engineering capabilities.

Hands-on experience with Claude Code is mandatory.

Responsibilities

• Design and develop AI agents to automate investment research workflows.
• Build autonomous systems capable of gathering, cleaning, validating, and structuring financial and alternative datasets.
• Develop agentic workflows for company research, earnings analysis, market intelligence, expert network transcripts, filings, news, and alternative data.
• Create AI-powered tools that assist portfolio managers and analysts in idea generation, monitoring, and decision‑making.
• Build data pipelines for ingesting and normalising large structured and unstructured datasets.
• Implement retrieval, memory, reasoning, and tool‑calling frameworks to improve agent performance.
• Develop internal research copilots and knowledge management systems.
• Collaborate directly with investment teams to identify high‑value automation opportunities.
• Evaluate emerging AI technologies and implement best practices across the research platform.

Requirements

Mandatory

• Strong hands‑on experience with Claude Code.
• Experience building AI agents, autonomous workflows, or LLM‑powered applications.
• Experience working with financial, market, or alternative datasets.
• Strong data engineering and data‑cleaning capabilities.
• Experience building data pipelines and handling large datasets.
• Understanding of retrieval systems, vector databases, prompt engineering, and agent orchestration.
• Ability to work independently in a fast‑paced environment.

Highly Preferred

• Experience within a Long/Short Equity, Long‑Only Equity, Equity Research, Asset Management, Hedge Fund, or Investment Banking environment.
• Understanding of fundamental equity research processes.
• Familiarity with financial statements, earnings releases, SEC filings, valuation methodologies, and investment workflows.
• Experience supporting portfolio managers, analysts, or investment teams.
• Exposure to quantitative research, alternative data, or systematic investing.

Preferred Technical Skills

• Python
• LangGraph
• LangChain
• PydanticAI
• FastAPI
• Snowflake
• Vector Databases
• Docker
• GitHub Actions

Ideal Background

We are particularly interested in candidates who combine:

• Investment experience (Long/Short Equity, Long-Only Equity, Equity Research, Asset Management, Hedge Funds); and
• Strong AI engineering or agentic development expertise.

Examples may include:

• Former Equity Research Analysts who have transitioned into AI engineering.
• Investment professionals building AI research agents and workflow automation tools.
• Data scientists or engineers supporting equity investment teams.
• AI developers focused on financial research and investment applications.

Compensation

• USD $250,000–350,000 Total Compensation
• Performance‑based bonus potential
• Flexible remote working arrangements
• Opportunity to build cutting‑edge AI infrastructure directly supporting investment decision‑making