Data Driven Financial Decision Maker

3 days ago

Singapore beBeeAgent Full time $120,000 - $180,000
AI Financial Agent Developer

As a senior AI/ML engineer, you will lead the development of sophisticated financial agents capable of autonomous decision-making and complex financial analysis. Your role involves crafting cutting-edge AI systems that assist users in tasks such as financial data analysis, market insights, portfolio management, automated trading strategies, and more.

Key Responsibilities:

  • Design and implement advanced financial agents with capabilities for autonomous workflows, including data analysis, market research, and executing financial strategies based on real-time insights.
  • Enable AI agents to make independent, data-driven recommendations in areas like portfolio management, market forecasts, and risk assessment.
  • Develop and maintain scalable pipelines, APIs, and system integrations with real-time data, external services, and brokerages.
  • Implement text-to-action capabilities for natural language inputs, enabling agents to execute trades, adjust strategies, and generate transparent reports.
  • Model Optimization: Train, fine-tune, and maintain machine learning models that power the financial agent's ability to analyze data, provide recommendations, and execute tasks efficiently.
  • Ensure high availability, performance, and security through strong backend engineering, MLOps/DevOps, and cloud deployment (AWS/GCP, Kubernetes).
  • Monitor and evaluate model performance, data integrity, and decision accuracy to continuously improve reliability and user trust.

Qualifications:

  • At least 3 years of experience in machine learning and AI-related work.
  • Proven experience building and deploying LLM-based applications, pipelines, or autonomous agents in production environments.
  • Strong backend engineering skills with expertise in Python (JavaScript/TypeScript a plus).
  • Hands-on experience in developing autonomous agents using state-of-the-art frameworks.
  • Hands-on knowledge of MLOps/DevOps, CI/CD, containerization, and cloud platforms (AWS/GCP, Kubernetes). Familiarity with agentic frameworks and prompt engineering.
  • Business-oriented mindset with curiosity and problem-solving ability; finance background strongly preferred.
  • Excellent communication skills to deliver clear insights and transparent reporting to end users.

Required Skills:

  • Market Research
  • Machine Learning
  • Brokerage
  • Risk Assessment
  • Data Analysis
  • Automated Trading
  • Data Management
  • JavaScript
  • Strategy
  • Portfolio Management
  • Trading Strategies
  • Python
  • Financial Analysis
  • Communication Skills
  • Cloud Services
  • API

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