Position Overview:
We are looking for an sharp, competitive Data Analyst to work in in collaboration with the Research, Portfolio Management and Data teams to develop and implement new models, architect solutions and build powerful analytic tools.
The successful candidate will be integral to developing the platform and infrastructure for quantitative models used by our client team's equity products. As a member of the investment Data-team, this person will closely collaborate with PMs, quantitative researchers and integration analysts.
Responsibilities:
- Build systems to gather, cleanse and integrate data from various sources for research and modelling needs.
- Implement, validate and enhance our data platform and model infrastructure.
- Build, test and enhance new forecast models.
- Apply advanced algorithms from the field of quantitative finance, computational science, etc. to assist in the research of economic and financial variables.
- Work with quantitative portfolio managers to build tools and software libraries to advance analytics platforms using machine learning techniques.
Qualifications:
- Hands on development experience with at least two of the following
- Python[needed] (Numpy, Scipy, Pandas)
- and Spark, Matlab, SQL, ETL, Java, Scala, C++/C# or R.
- 'Familiar' with AWS technologies is a must
Nice to haves -
- 1-2 years of experience as a quantitative developer preferably for an investment firm.
- Bachelor’s degree with an outstanding academic record in a technical field such as mathematics, science, machine learning or engineering; Master’s degree or CFA preferred.
- Familiar with financial data series, building and optimizing database structures and operating data delivery platforms.
- Advanced analytic skills and the ability to clearly articulate the approach, process and results in verbal, graphical and written form..
Can *not* do sponsorship (no C2C) for these roles at this time. Can be contract, contract to hire, or full-time.
Remote role organized in three USA time zones. USA Work Authorized (GC/USC) and residence in US required.