Quant Analyst

Nova Stela Ltd; New York, Northern (NY, KY); Hybrid; USD 120,000 - 170,000; Full time

Job summary

Nova Stela Ltd in London or New York is seeking a Quant Analyst to transform data into actionable trading strategies. You will collaborate with traders, PMs, and engineers to build models, spot opportunities, and deliver impact from day one.

The ideal candidate has at least 2 years in a quantitative role across Fixed Income, Macro, or Credit, strong Python and ML skills, and experience with market data sources.

Qualifications

• Minimum of 2 years in a quantitative role (Fixed Income, Macro, or Credit).
• Strong Python proficiency and ML modeling experience.
• Familiarity with market data sources.
• Detail-oriented and organized under pressure.
• Effective team player with good communication.

Responsibilities

• Transform data into actionable trading strategies.
• Collaborate with traders, PMs, and engineers to build models and backtest strategies.
• Identify opportunities and deliver measurable impact from day one.
• Support data-driven decision making across the trading desk.

Skills

Python

Statistical modeling

Backtesting

Market data sources

Communication

Tools

Pandas

NumPy

Scikit-learn

Job description

Location: London or New York
Type: Full-time
Compensation: Competitive package with performance-based bonus

The Role

Our client, a multi-strategy investment firm, is hiring a Quant Analyst to transform data into actionable trading strategies. Collaborate with traders, PMs, and engineers to build models, spot opportunities, and deliver real impact from day one.

Ideal Candidate:

• Minimum of 2 years of experience in a quantitative-focused role within Fixed Income, Macro, or Credit.
• Strong proficiency in Python, statistical and machine learning modeling, and backtesting frameworks.
• Familiarity with market data sources
• Detail-oriented and highly organised under pressure.
• Effective team player with strong communication skills.

Why This Role Matters:

• Drive trading performance by turning complex data into actionable strategies.
• Influence key investment decisions through robust quantitative analysis and modeling.
• Work alongside traders, portfolio managers, and engineers to deliver measurable, real-world impact.
• Play a critical role in shaping the firm's approach to data-driven trading in a dynamic, fast-moving market.