Our client was founded over 27 years ago by technologists to build the fastest, high-frequency trading platform in the world. Based in New York City, they have a footprint in eleven major metros globally. We are looking for an experienced Quantitative Researcher to be a part of a growing team in the Charleston, SC area who is focused on building their team of the world’s best systematic trading and engineering talent. They empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. 

As a Quantitative Researcher in one of our clients’ trading teams, you will use their in-house research and trading platform—one of the fastest and most comprehensive in the world—to build and deploy systematic trading strategies. Their researchers use statistical and machine learning techniques to uncover patterns in market behavior used to build predictive models, formalize and solve optimization problems to create trading strategies, and are involved in the entire process from idea generation to production results. This is a new team operating collaboratively, with a rare opportunity to work on challenging problems across the full business scope and have an outsized impact.

You Will:

• Analyzing large data sets of various origins to form and test hypotheses regarding market behavior
• Researching and building statistical models of financial instruments’ valuation and returns
• Formalizing and implementing trading strategies and algorithms through solving the appropriate optimization problems
• Building robust and scalable quantitative research methods, tools, and platforms across the full pipeline from data extraction and analysis to model calibration and reporting

You Have:

• Solid academic background in mathematics, machine learning, computer science, physics, or a similar quantitative field with a strong research experience equivalent to a research-oriented master's degree or ideally a PhD in the field
• Strong quantitative research experience in the systematic trading space, across idea generation, research, deployment, and production analysis, with a track record of delivering impactful results
• Effective programming skills and prior experience building high-quality, scalable software in scripting / dynamic languages such as Python or lower-level languages such as C++, ideally in both
• Ability to communicate clearly and effectively both at a high level and in detail

Our Client’s cubicle-free workplace, jeans-clad workforce, and well-stocked kitchens reflect the premium the firm places on quality of life. Benefits include:

• 401(k) with company matching
• 5 weeks of paid vacation per year plus 11 paid holidays
• Free breakfast, lunch, and snacks on a daily basis
• Reimbursement for health and wellness expenses
• Free events and workshops
• Donation matching program

Catch Talent is an Inc. 5000 recruiting agency that delivers end-to-end talent acquisition solutions to growing technology, digital media, and professional services companies. Headquartered in Charleston, SC, Catch brings over a century of technical recruiting expertise to local and national clients and offers a full range of flexible solutions including direct placement hiring, recruitment process outsourcing, contract, and contract-to-hire models. Catch specializes in the full talent attraction lifecycle by sourcing and recruiting qualified candidates who are interview-ready, culturally aligned, and ready to make an immediate impact.  

Catch Talent provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.