Quant Developer

Unlock Employer Old Greenwich, CT Full Time Live
We are seeking candidates with outstanding academic credentials to join our team of Quants. Quants contribute to the development and evaluation of systematic strategies which harness statistically-based predictive signals associated with various market inefficiencies. Successful applicants will receive training commensurate with their experience and development. Job Responsibilities (include, but not limited to the following): - As a member of a small team, design, develop and implement an innovative quantitative methodology for firm wide portfolio optimization. - Develop methods and tools to evaluate and optimize the firm's trading strategies and trading signals - Design and run experiments to test hypotheses about the market and/or the firm's trading signals - Perform analyses on the firm's historical trading to improve profitability - Take new ideas, methods, or models and implement them efficiently in code - Deal with other quantitative tasks faced by the company Job Qualifications: - Ph.D. in Mathematics, Physics, or Computational Mathematics is necessary (the interview process can be started if a Ph.D. is pending within 3-4 months) - Exceptional record of achievement proven by several of the following requirements: authorship of scholarly articles in peer reviewed publications and citations of said articles; participation in major conferences; receipt of significant national or internationally recognized prizes; membership in professional associations requiring outstanding achievements for membership; and published materials about your achievements. We expect successful candidates to have at least 3 papers in peer reviewed journals - Interest in applying mathematical models in the field of quantitative finance - Critical thinking - Good knowledge of English - Knowledge of programming (C++, Python) is desired but not required - Knowledge of finance is not required read more

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