Perform quantitative analysis on daily data acquisition and risk system processes, deploy advanced tools and new software, and participate in ongoing quantitative research projects. Develop in-depth understanding of the firm’s analytics library and related processes and applications. These include: database layout; C++ objects that represent market data, financial instruments and pricing models; overnight and intraday processes which compute various analytics; and reports that present the results of these calculations to Portfolio Managers and other users. Collaborate with other members of the team, and with Trading Floor personnel to develop advanced analytical tools and statistical models to be used in the firm’s portfolio and risk management processes. Collect, validate, normalize, store and monitor the various structured and unstructured financial market data from internal and external sources used in pricing the fund’s portfolio. Participate in daily monitoring of these processes and work with junior members of the group to resolve issues with data or analytics. Engage with the R&D team in long-term and open-ended quantitative research projects involving valuation of various types of financial instruments and take ownership of research-focused initiatives at the firm. Use machine learning and statistics to develop state-of-the-art pricing models and proprietary software.
The position is fixed location based in Boston office; however, telecommuting from a home office may also be allowed.
One (1) year of experience in quantitative finance. Experience must include:

One (1) year of experience in the following (experience may be gained concurrently):
- Statistical analysis, building simulations such as Monte Carlo, and data mining with financial data
- Deep mathematical understanding of fixed income instruments and complex derivatives such as options and rates
- Cryptocurrencies
- Python, SQL, R
- C++
Bachelor’s degree (or foreign equivalent) in Computer Science, Statistics or a directly related field.
Please send us your resume via email at candidates (at) placementservicesusa (dot) com with reference #2703525. Do not copy and paste your resume in the body email. Please attach it as a Word document. Thank you.