Senior Quantitative Analyst

5 days ago

Singapore beBeeDataScience Full time $900,000 - $1,200,000
Job Overview

We are seeking a skilled Machine Learning Engineer to join our team. As a key member of our organization, you will contribute to the development of AI-powered systems and autonomous agents that transform how financial analysis and decision-making are conducted.

The ideal candidate will have experience in designing and implementing machine learning solutions for financial markets, from predictive models to AI agents powered by Large Language Models (LLMs). They will work closely with senior engineers, researchers, and traders to understand and help solve complex financial problems.

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  • Design and implement machine learning solutions for financial markets using traditional ML approaches and modern agentic frameworks.
  • Support the development of intelligent systems using Python, pandas, and scientific computing libraries.
  • Help apply quantitative methods and data mining techniques to extract insights from financial datasets.
  • Contribute to building machine learning pipelines for model development, backtesting, and production deployment with monitoring frameworks.
  • Work closely with researchers and senior engineers to develop risk assessment and portfolio optimization systems using quantitative methods and AI-driven approaches.
  • Participate in code reviews, documentation, and knowledge sharing to continuously improve technical skills.

Requirements:

Essential Qualifications:

  • Bachelor's or Master's degree in Computer Science, Machine Learning, Statistics, Mathematics, Physics, Financial Engineering, or related quantitative field.
  • 0-2 years of professional experience in machine learning, data science, or software engineering.
  • Solid programming skills in Python with familiarity with scientific computing libraries.
  • Foundational knowledge of machine learning including supervised/unsupervised learning, basic deep learning concepts, and statistical modeling.
  • Interest in Large Language Models and modern AI techniques.
  • Strong mathematical and analytical foundation with ability to learn and apply quantitative concepts to practical problems.
  • Experience with data manipulation and basic feature engineering from structured datasets.
  • Eagerness to learn with ability to work collaboratively in a mentorship-oriented environment.
  • Good communication skills to discuss technical concepts and ask questions effectively.
  • Basic understanding of software engineering practices including version control.
  • Curiosity about financial markets.

Preferred Qualifications:

  • Academic or personal projects demonstrating ML skills through coursework, competitions, or self-directed learning.
  • Experience with prompt engineering, fine-tuning, or agentic systems.

What We Offer:

We offer a competitive compensation package and a dynamic work environment that fosters growth and collaboration.

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