Quantitative DeveloperISOTECH STAFFING • San Francisco, CA, United States

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Quantitative Developer

ISOTECH STAFFING • San Francisco, CA, United States

[job_card.variable_days_ago]

[job_preview.job_type]

[job_card.full_time]

[job_card.job_description]

Our Hedge Fund client is seeking to hire a quantitative developer to focus on the development and subsequent optimization of infrastructure supporting the overall development and production of quantitative trading models. The ideal candidate will work directly with the quantitative researcher(s) and senior portfolio manager. This team member will be responsible for the implementation of technology to enable large-scale computational efforts in quantitative research, as well as related efforts, such as the preparation and transformation of data and other operational tasks.

Principal Responsibilities

Partner closely with the Portfolio Manager to develop data engineering and prediction tools primarily for the systematic trading of equities
Develop software engineering solutions for quantitative research and trading

Assist in designing, coding, and maintaining tools for the systematic trading infrastructure of the team

Build and maintain robust data pipelines and databases that ingest and transform large amounts of data

Develop processes that validate the integrity of the data

Implementation and operation of systems to enable quantitative research (i.e. large-scale computation and serialization frameworks)

Live operation of such systems, including monitoring and pro-active detection of potential problems and intervention

Stay current on state-of-the-art technologies and tools including technical libraries, computing environments and academic research

Collaborate with the PM and the trading group in a transparent environment, engaging with the whole investment process

Preferred Technical Skills

Expert in Python and / or KDB / Q

Proficient in modern data science tools stacks (Jupyter, pandas, NumPy, sklearn) with machine learning experience

Good understanding of using Slurm or similar parallel computing tools

Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or related STEM field from top-ranked University

Proficient in quantitative analysis, mathematical modelling, statistics, regression, and probability theory

Proficient in professional software development methodologies, version control systems, unit testing and debugging tools, and micro-services architecture

Excellent communication, problem-solving, and analytical skills, with the ability to quickly understand and apply complex concepts

Preferred Experience

2+ years of experience in algorithmic trading systems development, preferably in systematic equity trading markets.

Experience working with and centralizing multiple vendor data sets

Experience collaborating effectively with cross functional teams, multitasking and adapting in a fast-paced environment

Highly Valued Relevant Experience

Entrepreneurial mindset

Ability to multitask and adapt

Curiosity and eagerness to learn and grow professionally

Self-motivated, detail-oriented, and able to work independently in a fast-paced environment

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