Note: Company “Hybrid” work attendance policy: In-office work attendance required at the aforementioned office address for collaboration days based on each team’s requirement; telecommuting/working from home is permissible for remainder of the same month.Duties: Research, design, and test predictive financial modeling systems by using advanced quantitative modeling and statistical analysis skills in the application of computational and analytical principles. Apply pattern recognition and quantitative/statistical analysis techniques including regression and time-series methods to formulate and engineer sophisticated quantitative/statistical-based financial modeling systems. Onboard and profile large scale economic dataset, formulate testable hypothesis about equity markets based on market and financial/economic intuition. Review recent academic literature in economics and finance, verify and formulate new testable economic hypothesis based on academic papers. Develop high-quality, reliable, and finely-tuned program code for pipelines used in data ingestion and predictive signals for live trading. Prepare detailed reports on quantitative research and tools for management.Minimum education and experience required: Bachelor’s degree or equivalent in Finance, Economics, or related field plus 5 years of experience in quantitative research and computer programming, or related experience; OR Ph.D. degree or equivalent in Finance, Economics, or related field.Skills required: Must have experience with tackling in-depth quantitative research projects. Must have experience with developing and fine-tuning statistical and quantitative models in both theoretical and real-world systems. Must have experience with processing economic and financial datasets. Must have experience with developing economic hypothesis about datasets and evaluate hypothesis using econometric methods. Must have experience with finance and economics academic literature and the ability to follow the latest academic papers. Must have experience with statistical inference methods used in empirical economics and finance research. Must have experience with a data analysis programing environment (such as R, Matlab, Mathematica, or Python plus numpy and pandas). Must have experience with scripting languages (such as Unix or Perl). Must have experience with managing various time-sensitive research projects simultaneously. Must have experience with communicating ideas clearly, to those with and without a quantitative background. Must pass company’s required skills assessment. Employer will accept any amount of experience with the required skills.Rate of pay: The base pay for this role will be between $165,000 and $325,000 per year. This role may also be eligible for other forms of compensation and benefits, such as a discretionary bonus, health, dental and other wellness plans and 401(k) contributions. Discretionary bonus can be a significant portion of total compensation. Actual compensation for successful candidates will be carefully determined based on a number of factors, including their skills, qualifications and experience.

Minimum Salary: 165000 Maximum Salary: 325000 Salary Unit: Yearly