Grow your career with purpose

Enjoy ownership, mentorship, flexibility, and the chance to make a real impact, beyond just a paycheck.

Work with us, grow with us, win with us …

Our Culture / Why Work With Us

Always Improving, Always Ahead

Work hard, learn fast – that’s the pace of global markets. Staying a fraction of a second ahead is our game. That’s why every day we seize the opportunity to get better – refining strategies, improving processes, and learning faster.

Teamwork Makes the Dream Work

We combine the passion for trading with the craft of programming. We are building a culture of open communication and trust. Inside, we collaborate; outside, we compete to win.

Own the Game, Take the Shot

Make independent decisions within your area of expertise. Here, you’re the boss of your domain. No micromanaging, just trust. Make decisions, take action, and watch your impact across the company.

Open Positions

We are always open to collaborating with high-caliber talent in these positions. Reach out—we frequently propose project-based engagements and custom roles for exceptional engineers and researchers.

Machine Learning Engineer

As an ML Engineer, you will design, build, and deploy predictive models that drive our trading strategies. You'll work at the intersection of quantitative research and high-performance computing to bring algorithmic ideas to life in live markets.

Key Responsibilities

  • Develop and productionize ML models for signal generation and risk management.
  • Build robust MLOps pipelines for model training, evaluation, and deployment.
  • Collaborate with researchers to translate statistical models into production-ready code.
  • Optimize models for high-speed, low-latency environments.
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Data Scientist

Our Data Scientists are the detectives of the financial markets. You will dive into vast, complex datasets (market, alternative, etc.) to uncover hidden patterns, validate hypotheses, and build features that give our trading strategies an edge.

Key Responsibilities

  • Conduct exploratory data analysis and statistical research on financial data.
  • Develop and backtest new predictive features (alpha signals).
  • Use advanced statistical methods to rigorously test and validate research findings.
  • Present findings clearly to quant researchers and portfolio managers.
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Project-based Software Engineer

This dynamic role involves building the core infrastructure and tools that power our entire research and trading lifecycle. You'll work on discrete projects, from building new data ingestion systems to creating web-based research dashboards.

Key Responsibilities

  • Design and build scalable software solutions using Python, C++, and modern web technologies.
  • Develop and maintain critical platform components for data, research, and trading.
  • Collaborate with teams across the firm to deliver high-impact technology projects.
  • Write clean, high-performance, and well-tested code.
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Quantitative Research Engineer

You are the bridge between cutting-edge research and high-performance reality. You will partner with quantitative researchers to implement, optimize, and backtest complex trading strategies, focusing on C++ and Python performance.

Key Responsibilities

  • Implement sophisticated trading models in high-performance C++ and Python.
  • Develop and enhance our high-fidelity backtesting and simulation platform.
  • Optimize code for low-latency and high-throughput execution.
  • Assist in the research process by providing a strong engineering and systems perspective.
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Research Analyst

As a Research Analyst, you'll support our quantitative research team by generating new ideas, analyzing market trends, and maintaining the datasets that power our models. This is an ideal role for someone with a strong financial acumen and growing technical skills.

Key Responsibilities

  • Analyze market events, news, and data to generate new trading hypotheses.
  • Perform statistical analysis and data visualization to support research projects.
  • Maintain and validate data quality for critical market and alternative datasets.
  • Prepare research reports and summaries for the broader team.
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Data Engineer

Data is the fuel for our business. You will be responsible for building and maintaining the firm’s data pipelines and infrastructure. You will ensure our researchers and models have clean, timely, and reliable data 24/7.

Key Responsibilities

  • Design, build, and maintain robust ETL/ELT pipelines for market and alternative data.
  • Manage and optimize our data warehousing solutions (SQL, NoSQL, time-series databases).
  • Ensure data integrity, accuracy, and availability across all systems.
  • Work with cloud platforms (AWS, GCP) to build scalable data infrastructure.
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