Software Engineer

Goliath Partners Inc.; New York (NY); On-site; USD 250,000 - 400,000; Full time

Job summary

Goliath Partners Inc. is quietly building a lean, high-performance trading platform where software decisions directly impact profitability.

They seek exceptional researchers and engineers to join a small, elite team of ~30 with PhDs from top institutions. The roles span Software Engineering, Quantitative Development, and Quantitative Research, offering a rare chance to contribute to ground-breaking analytics and execution in a high-stakes environment.

Qualifications

• Must have graduated from a top-tier university or equivalent track record.
• Proven elite problem-solving ability with medals or top competition rankings (IMO/IPhO/IOI/Putnam).
• Strong analytical mindset and intellectual curiosity; thrives in theoretical environments.
• Advanced degrees are a plus (Master's/PhD in Math/Physics/CS/Statistics).

Responsibilities

• Collaborate with a lean team to develop and optimize trading platform components.
• Translate theory into high-performance, low-latency software solutions.
• Contribute to mathematical modeling and execution strategies for PnL impact.
• Drive rigorous software decisions that influence trading outcomes.

Skills

Elite problem solving

Top competition rankings

Analytical mindset

Chess Elo mastery

Education

Top-tier university or exceptional academic track record

Master's or PhD in quantitative field

Job description

Our client is an elite, stealth proprietary trading firm consistently clearing upwards of 40% YoY returns across equities and futures, operating with a hyper-lean team of just 30 people. Operating at the intersection of top-tier academia and high-performance trading, this is arguably the most intellectually rigorous environment in the industry right now, and they are quietly building one of the most profitable operations in quant finance.

With nearly half of the firm holding PhDs from the world's leading institutions, they have combined extreme academic talent with cutting-edge execution. Now, they are actively hiring across Software Engineering, Quantitative Development, and Quantitative Research to build the next generation of their trading platform. This is an opportunity to join a lean, high-density room where your technical decisions directly impact PnL.

What you bring

• Graduation from a top-tier university or an exceptional academic track record, including highest honors, Distinctions, and top-percentile GPA and SAT scores
• Proven elite problem-solving ability — you likely hold medals in international olympiads (IMO, IPhO, IOI) or top rankings in the Putnam Competition
• A deep, intrinsic love for rigorous analytical challenges — you are an academic at heart who thrives in deeply complex, theoretical environments
• Intense intellectual curiosity outside of work, often demonstrated through pursuits like a high chess Elo, a deep appreciation for classical music, or exploring abstract mathematical concepts for fun

Nice to have

• A Master's degree or PhD in Mathematics, Physics, Statistics, Computer Science, or a related highly quantitative discipline is a major plus
• Published research in prestigious academic journals or presentations at premier conferences
• While prior quantitative finance experience is welcome, purely academic backgrounds with absolutely zero finance or industry experience are highly encouraged to apply

Why this role

• Rare talent density — work on an elite team of ~30 where nearly 50% hold PhDs from top global institutions
• Phenomenal performance — join a proven, privately funded firm compounding at 40%+ YoY
• Pure research environment — no middle management or corporate red tape; just a flat structure focused entirely on mathematical discovery and applied logic
• Elite compensation structure — base salaries up to $400k with guaranteed first-year bonuses, structured to approach or surpass $1M+ total cash

Compensation:

Base salaries up to $400k | First-year packages with guaranteed bonuses structured to approach or surpass $1M+ total cash