Mid Level Algorithmic Trader Jobs
Mid level algorithmic trader jobs go to professionals ready to own strategy components end to end, refine execution models with limited oversight, and guide junior quants through implementation challenges. Hiring runs 17% remote or hybrid across Investment & Asset Management, Technology & Software, and Banking & Financial Services, with QUANTEAM - North America (RAINBOW PARTNERS Group), Citi, and MUFG actively competing for algorithmic traders at this level now.
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INTRODUCTION
Quantitative Developer – Fixed Income | Top-Tier Quant Fund
Location: New York / Philadelphia - On-site
Compensation: $400K+ achievable based on experience
We’re looking for a top-tier Quant Developer with real Fixed Income experience to join a leading quantitative trading firm. This is a front-office role where you’ll work directly with traders and quants to build the technology behind pricing, market data, risk, quoting, and P&L. You’ll be hands-on in Python, building production trading systems and solving complex problems that directly impact the firm's trading. This is a great fit for someone who wants to be close to the desk, have real ownership, and work on technology that actually gets used in live markets. Fixed Income experience is a must. Compensation can reach $400K+ depending on experience for the right candidate. If you’re a strong Quant Developer with a Fixed Income background and are open to hearing about a genuinely high-impact opportunity, apply or reach out directly.
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Who's Hiring



Top Industries Hiring
- Investment & Asset Management
- Technology & Software
- Banking & Financial Services
- Staffing & Recruiting
- Artificial Intelligence
Mid Level Algorithmic Trader Jobs: Frequently Asked Questions
How do I get a mid level algorithmic trader job?
Position yourself around ownership, not just contribution. Highlight projects where you led the full lifecycle of a strategy, from research through live deployment, and show measurable performance outcomes. Mid level roles reward candidates who can demonstrate independent judgment on model selection, risk calibration, or execution optimization. Tailor your resume to the asset class and technology stack listed in each posting, since specificity matters far more than breadth at this stage.
Which companies hire mid level algorithmic traders?
Companies hiring mid level algorithmic traders right now include QUANTEAM - North America (RAINBOW PARTNERS Group), Citi, and MUFG, based on current listings on Migrate Mate as of November 2026. At this experience level, hiring comes from a mix of proprietary trading firms, quantitative hedge funds, and financial technology companies building or expanding automated trading infrastructure.
Are there remote mid level algorithmic trader jobs?
Yes, though the role skews more on-site than many tech positions due to latency sensitivity and trading desk culture. About 17% of mid level algorithmic trader openings are remote or hybrid as of November 2026, with hybrid arrangements most common at larger financial institutions and fully remote roles more typical at fintech firms and smaller quantitative shops.
How do I move up to a mid level algorithmic trader role?
The path from entry level to mid level centers on deepening specialization and building a record of independent work. Early-career algorithmic traders grow by owning increasingly complex model components, developing proficiency in a specific asset class or strategy type, and demonstrating that their signals or execution improvements produce measurable results. Taking initiative on research projects, collaborating closely with senior quants, and mastering production-grade coding practices all signal readiness for a mid level title.
Which industries hire the most mid level algorithmic traders?
Mid Level algorithmic trader roles concentrate in Investment & Asset Management, Technology & Software, and Banking & Financial Services, based on current listings on Migrate Mate as of November 2026. These sectors drive hiring because they depend on automated, high-frequency, or quantitative strategies to generate returns and manage execution risk at scale.