Senior Quantitative Developer

Goliath Partners; New York (NY); Hybrid; USD 250,000 - 1,500,000; Full time

Benefits offered by this job

Sign-on bonus

Job summary

Goliath Partners is seeking a skilled Quant Developer to join a new NYC office, focusing on designing and implementing alphas for trading strategies and expanding automated trading systems with low-latency tech.

You will develop in C/C++ or Python, work with market data and simulation, and collaborate with research and development; the role offers hybrid onsite in NYC and compensation up to $850k–$1.5M y1 TC with sign-on bonuses.

Qualifications

• BS in Comp Sci/ Mathematics/ Physics or similarly related field.
• Proficiency with C/C++ or Python in a software or research capacity.
• Market data & simulation expertise.
• Trading algorithm development.
• Exposure to collaborating with research and development
• Experience with designing and implementing strategies for equities, options, futures, bonds or fixed income.

Responsibilities

• Design & implement new alphas for trading strategies.
• Enhance firms portfolio of automated electronic trading strategies within the platform.
• Develop in C/C++ or Python working with low latency software engineering in building trading/ hedging engines.

Skills

C/C++

Python

Market data

Trading algorithm development

Collaboration with R&D

Equities/Options/Futures/Bonds

Education

BS in Comp Sci/ Mathematics/ Physics

Tools

Low latency software engineering

Job description

Goliath is partnered with a Systematic Quantitative Trading firm that's opening up a brand new office in NYC. as scaled worldwide from 16 to 120 people in the last 3 years. Predominately made up of Jump, HRT and Tudor professionals - they are targeting a skilled Quant Developer to join their team. HYBRID - 3 Days On Site in NYC.

Something the firm do very well in, is training others and they have stayed at the forefront of mathematics and technology for a number of years whilst tripling in revenue the past year.

Firm is happy to wait around a non-compete (up to 24 months).

Role

• Design & implement implement new alphas for trading strategies.
• Enhance firms portfolio of automated electronic trading strategies within the platform.
• Develop in C/C++ or Python working with low latency software engineering in building trading/ hedging engines.

Essential skills

• BS in Comp Sci/ Mathematics/ Physics or similarly related field.
• Proficiency with C/C++ or Python in a software or research capacity.
• Market data & simulation expertise.
• Trading algorithm development.
• Exposure to collaborating with research and development
• Experience with designing and implementing strategies for equities, options, futures, bonds or fixed income.

Total compensation is in the ballpark of up to $850k-1.5M y1 TC (Base $250-400k) with potential for 2nd year guarantees. Sign on bonuses are provided also to assist in covering bonuses or NC’s/ buyouts.