Senior Quantitative Developer

Goliath Partners Inc.; New York (NY); On-site; USD 900,000 - 1,500,000; Full time

Benefits offered by this job

Sign-on bonuses

Job summary

Goliath Partners Inc. in New York partners with a Systematic Quantitative Trading firm that is opening a brand new NYC office. The role targets a skilled Quant Developer to join their team and contribute to design and implementation of alphas and automated trading strategies.

Hybrid work arrangement: 3 days on site in NYC. The firm emphasizes training, cutting-edge mathematics and technology, and opportunities for growth, with a competitive compensation package including sign-on bonuses and

Qualifications

• BS in computer science, mathematics, physics or related field.
• Proficiency in C/C++ or Python in software or research.
• Experience with market data, simulation and trading algorithms.
• Exposure to collaborating with R&D and building strategies for equities, options, futures, fixed income.

Responsibilities

• Design & implement new alphas for trading strategies.
• Enhance firm’s portfolio of automated trading strategies.
• Develop in C/C++ or Python with low-latency software for trading/hedging engines.

Skills

C/C++

Python

Market data

Simulation

Trading algorithms

R&D collaboration

Equities

Options

Futures

Fixed income

Education

BS in Computer Science/Math/Physics

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.