Quantitative Researcher (Execution Research)
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What you'll do
- Building execution analytics and real-time monitoring across dozens of global markets
- Designing, selecting, and live-testing trading algorithms
- Developing backtesting frameworks with robust transaction and impact cost modeling
- Capitalizing on new developments in global exchange structure and alternative liquidity
- Expanding portfolio internalization and optimizing trade scheduling
What they're looking for
- Bachelor’s, Master’s, or PhD degree from a top-tier university in a quantitative or technical field, such as math, physics, statistics, or computer science
- 2+ years in algorithmic trading, execution research, or a related role
- Self-motivated and highly productive, with a strong sense of ownership and urgency
- Strong Python skills for conducting research
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
About Us
AXQ Capital is a global quantitative investment firm. We build diverse sources of investment edge across geographies, asset classes, and trading horizons. Our strategies are grounded in rigorous scientific research and deep market understanding, strengthened by sustained investment in data, technology, and AI. Our team brings together exceptional talent from leading academic institutions and the world’s most respected quantitative firms. We foster a collaborative culture built on curiosity, rigor, and ownership, where the best ideas win and people grow with the firm.
Job Duties
As a Quantitative Researcher focused on execution research, you will work across every layer of our global trading infrastructure, with a clear mandate: sharpen execution quality and turn that edge into net trading profits. Partnering closely with portfolio managers, fellow quantitative researchers, and quantitative developers, you will drive work spanning:
- Building execution analytics and real-time monitoring across dozens of global markets
- Designing, selecting, and live-testing trading algorithms
- Developing backtesting frameworks with robust transaction and impact cost modeling
- Capitalizing on new developments in global exchange structure and alternative liquidity
- Expanding portfolio internalization and optimizing trade scheduling
Qualifications
- Bachelor’s, Master’s, or PhD degree from a top-tier university in a quantitative or technical field, such as math, physics, statistics, or computer science
- 2+ years in algorithmic trading, execution research, or a related role
- Self-motivated and highly productive, with a strong sense of ownership and urgency
- Strong Python skills for conducting research
The anticipated annual base salary range for this position is $150,000 to $200,000, depending on prior experience and qualifications. We offer a competitive total compensation package that includes base salary and an annual discretionary bonus.
Benefits
AXQ team members enjoy comprehensive benefits, including:
- Medical, dental, and vision insurance, with 100% employer-paid premiums for individuals
- 401(k) with employer matching up to 6%
- Life and disability insurance
- Health savings and flexible spending accounts
- Generous paid time off
- Regular office-provided meals and team events
Company
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