We are looking for an experienced quant in our QR ETF team in New York City for the Cash Equities ETF business.  A successful candidate will be passionate in areas such as electronic trading, programming, and applied mathematics, with a keen interest to apply these techniques to financial markets and have a transformational impact on the business. The broad objective is to drive and implement the automation of electronic market making for the ETF business, including quoting and hedging, risk management, and alpha research. This position requires extensive use of data analytics, statistical techniques, and computer programming.

In addition, we are providing on job training, intensive internal classroom training, and online courses, all given by our experienced quants. Through the diversity of the businesses it supports and the variety of functions that it is responsible for, Quantitative Research group provides unique growth opportunities for you to develop your abilities and your career.

Your Impact

You’ll contribute to the strategic agenda to further transform equities trading into a data-led business and drive change through innovation and business process optimization using state-of-the-art electronic trading techniques. Specially, you’ll have the chance to:

  • Work closely with trading to build analytics and data-driven processes that automate and optimize trading quantitatively, with special focus on ETF trading.
  • Contribute from idea generation to production implementation: perform research, design prototype, implement analytics and trading algorithms, support their daily usage and analyze their performance
  • Develop pricing models for market making activities taking into consideration alpha signals, quantitative features, and historic behavior using statistics, machine learning or heuristics.
  • Work with the business to recycle risk and devise hedging strategies accordingly.

About You

  • You have a strong quantitative background, as well as practical problem-solving skills;
  • You are strongly interested in ETF markets, and electronic trading; and have previous exposure to the financial industry;
  •  You like working closely with trading desks, understanding their business, and have a strong mind-set of ownership to have an impact on the way they operate;
  • You demonstrate proficiency in code design and programming skills, with primary focus on Python, KDB, C++ or Java in an commercial environment;
  • You have practical data analytics skills on real data sets gained through hands-on experience, and are able to handle and analyze complex, large scale, high-dimensionality data from varying sources;
  • You quickly grasp business concepts outside immediate area of expertise and adapt to rapidly changing business needs;
  • You think strategically and creatively when faced with problems and opportunities. You always look for new ways of doing things;
  • Your excellent communication skills, both verbal and written, can engage and influence partners and stakeholders.

Desirables

  • Strong graduate degree (MS or PhD) in a quantitative field (Computer Science, Mathematics, Physics, Statistics, Economics, …);
  • Direct Experience with electronic trading or market making, and knowledge of trading algorithms;
  • Strong expertise in statistics and machine learning in financial industry, working knowledge of portfolio risk modelling and optimization;
  • Robust testing and verification practices;
  • Knowledge of ETF markets or basis trading, in particular index products and models, is a plus, but not strict requirement

Source: for more information click here.

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