Metabit

Provides government IT services and security

Quantitative Developer New Grad

Quantitative DevelopmentConfirmed live in the last 24 hours

Full-timeSingaporeNo salary listedIn-person

About the Job

Requirements

A degree in Computer Science, Engineering, Mathematics, Physics, or a highly quantitative field.
Proficient coding skills in Python for data analysis and tooling and C++ for core systems logic.
A solid understanding of data structures, algorithms, and software design principles.
A strong grounding in probability, statistics, and data analysis, with comfort working with large datasets and debugging complex log files.
A demonstrable interest in financial markets, electronic execution, and market microstructure.
Excellent communication skills and the ability to work effectively across researchers, core engineers, and traders.

Responsibilities

Participate in the full lifecycle of quantitative strategy implementation, focusing on code optimization, deployment, order execution tracking, policy compliance, and risk control mechanisms.
Work with the research team to develop and enhance strategy research tools on the in-house backtesting platform, tailoring them to specific use cases.
Contribute to the development and maintenance of live trading processes, improving production quality and strategy reliability through technical solutions.
Collaborate with the engineering team to implement core components of distributed systems, data platforms, and trading infrastructure that support research and live trading performance.
Collaborate with senior developers to implement, test, and iterate on execution algorithms and trading features based on research models.

Desired Qualifications

Outstanding performance in competitive programming contests such as NOI or ICPC.
Experience with distributed systems, high-performance computing, or handling large-scale tick data.
Familiarity with connectivity protocols such as FIX and native exchange APIs.
Publications in top-tier computer science or Statistics journals or conferences.
Award-winning participation in Kaggle machine learning competitions.
Internship or work experience in proprietary trading firms, hedge funds, or leading technology companies.

Position Overview

We are seeking a talented Quantitative Developer to join our Execution Algo team. This team plays a critical, central role in our trading operation, sitting directly at the intersection of Quantitative Research, Core Engineering, and Production Trading Operations.

In this role, you will focus on execution logic, simulation tooling, and data analysis across global equity and futures markets. Working closely with senior members of the team, you will act as a core engine for implementation—translating research concepts into code, expanding our backtesting frameworks, and analyzing live execution quality. This position offers a direct path to mastering market microstructure and high-performance software development within a sophisticated trading environment.

Key Responsibilities

Strategy Lifecycle Support: Participate in the full lifecycle of quantitative strategy implementation, focusing on code optimization, deployment, order execution tracking, policy compliance, and risk control mechanisms.
Research Tooling & Backtesting: Work closely with the research team to develop and enhance strategy research tools on our in-house backtesting platform, tailoring them to their specific use cases.
Live Operations & Reliability: Contribute to the development and maintenance of live trading processes, continuously improving the production quality and reliability of strategies through robust technical solutions.
Infrastructure Integration: Collaborate with the engineering team to implement core components of our distributed systems, data platforms, and trading infrastructure, ensuring your code directly supports both research and live trading performance.
Feature Iteration: Collaborate with senior developers to implement, test, and iterate on execution algorithms and trading features based on research models.

Required Qualifications & Skills

Educational Background: Degree in Computer Science, Engineering, Mathematics, Physics, or a highly quantitative field.
Strong Coding Fundamentals: Clean, proficient coding skills in Python (for data analysis and tooling) and C++ (for core systems logic). Solid understanding of data structures, algorithms, and software design principles.
Quantitative Competency: Strong grounding in probability, statistics, and data analysis; comfortable working with large datasets and debugging complex log files.
Eagerness to Learn: A deep, demonstrable interest in financial markets, electronic execution, and market microstructure.
Collaborative Mindset: Excellent communication skills with the ability to working effectively across different disciplines (researchers, core engineers, and traders).

Preferred/Nice-to-Have

Outstanding performance in competitive programming contests such as NOI or ICPC.
Experience with distributed systems, high-performance computing (HPC), or handling large-scale tick data.
Familiarity with connectivity protocols (e.g., FIX, native exchange APIs).
Publications in top-tier CS or Statistics journals/conferences.
Award-winning participant in Kaggle machine learning competitions.
Internship or work experience in proprietary trading firms, hedge funds, or leading tech companies.

About the Company

Metabit

Provides government IT services and security

Metabit delivers IT services to U.S. federal, state, and local government agencies by combining managed services, strategic consulting, and advanced technology implementation. Its offerings include AI-powered cybersecurity with Zero Trust, generative AI for data analytics, and AI-driven cloud and infrastructure modernization, plus AI-enhanced SaaS development and staff augmentation with cleared IT professionals. Metabit differentiates itself as a government-focused, woman-owned small business with enterprise-level capabilities and niche expertise in unmanned systems, drones, and nuclear technology safety and data management. Its goal is to help public-sector customers modernize securely and cost-effectively, ensuring compliance and resilience while advancing government missions.

Company size: 1-10
Company stage: Seed
Total funding: $2M
Headquarters: Toronto, Canada
Founded: 2022

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