Senior Quant Trader - TIER 1 QUANT FIRM

Pagos Consultants; New York (NY); On-site; USD 270,000 - 330,000; Full time

Job summary

A leading quantitative trading firm in New York is seeking a skilled Quantitative Trader/Portfolio Manager. The ideal candidate will have an institutional quant background and an advanced degree in Mathematics, Computer Science, or Physics. Key responsibilities include developing systematic trading strategies across different asset classes. Competitive compensation of $300K+ base plus performance-based compensation is offered. Interested candidates should contact Connor Akers or Dan Raza directly.

Qualifications

• Proven track record within an institutional quantitative trading environment.
• Expertise in alpha research, signal generation, or portfolio optimisation.
• Ability to adapt strategies across asset classes and trading horizons.

Skills

Systematic trading strategies

Analytical foundations

Alpha research

Signal generation

Portfolio optimisation

Education

Advanced degree (PhD/MS) in Mathematics, Computer Science or Physics

Job description

Quantitative Trader/Portfolio Manager | Tier 1 Quant Trading Firm | $300K+ Base + Performance-Based Compensation, no earnings ceiling.

We are partnering with a tier-1 quantitative trading firm renowned for its scientific rigour, technological innovation, and industry-leading infrastructure. With over $20 billion USD in assets under management and a presence across major financial hubs, the firm is expanding its elite team of quantitative researchers, traders, and engineers to drive the next phase of growth in algorithmic trading experience.

Experience

They seek exceptional individuals with deep expertise in systematic trading strategies, open to all asset classes (equities, fixed income, commodities, FX, derivatives, crypto, etc.) and flexible across trading horizons (high-frequency, mid-frequency, or long-term statistical arbitrage).

Ideal Candidate Profile

• Institutional quant background: Proven track record within an institutional quantitative trading environment
• Exceptional analytical foundations: Advanced degree (PhD/MS) in Mathematics, Computer Science and Physics
• Strategic versatility: Expertise in alpha research, signal generation, or portfolio optimisation, with the ability to adapt strategies across asset classes and regimes.

Contact Connor Akers or Dan Raza directly to be considered.