Senior Quantitative Analyst

Bachelor’s degree in Finance, Computer Science or other relevant quantitative or financial discipline, or foreign equivalent and 3 years of relevant experience in software engineering, finance in quantitative analyst, or related role
Alternatively, a Master’s degree in Finance, Computer Science or other relevant quantitative or financial discipline, or foreign equivalent and 1 year of relevant experience in software engineering, finance in quantitative analyst, or related role
Experience with Python and SQL within both software development and analytics environment
Experience with big data framework and use of pyspark for software development
Experience with mutual fund, fixed income, and equity databases, including Morningstar, FactSet, Barra, Bloomberg, or Aladdin
Experience with statistical methods and classic econometric methods used in finance literature
Experience with Agile software engineering practices
Experience in conducting high quality research on the financial markets
Experience with appraising journal articles in finance (or accounting and macroeconomics)
Experience with monitoring the latest developments in the literature, particularly among equity and crypto asset classes
Must possess unrestricted right to work in the U.S.

Analyze large data sets and condense complex information into concise, relevant, and easy to communicate results (10%)
Generate original investment research with the goal of improving outcomes for our clients (30%)
Responsible for research supporting the company’s Risk Model (25%)
Represent the work of the quantitative research team to internal stakeholders and external clients (25%)
Act as a subject-matter expert in multiple investment topics such as equities, fixed income, mutual funds, exchange-traded funds, etc., as well as company’s proprietary methodology and data points (10%)

No preferred qualifications provided.