Quantitative Analyst Job Description Template
Our company is looking for a Quantitative Analyst to join our team.
Responsibilities:
- Assist in modeling and/or forecasting multiple data points;
- Collect and scrub data in preparation for analysis;
- Manage internal flow of data between team members and our database;
- Monitor trends in economic and real estate markets;
- Working closely with other team members to compile data and analysis into well-organized and concise monthly reports;
- Reviewing code documentation for proper model implementation, including the possible simulation of results;
- Testing and confirming model results by using documented procedures for running the models;
- Assessing the stability and robustness of models by conducting backtesting, sensitivity testing, and stress testing;
- Working with data validation members and information technology professionals to assess model data integrity;
- Assessing model theory and model assumptions as well as considering model methods and alternate options;
- Performing model validation processes and performing independent model validation of significant models.
Requirements:
- Very strong knowledge of software design including algorithms and object oriented design;
- Advanced Excel/VBA: 3+ years of development experience;
- A successful candidate will be detail oriented, a quick learner and able to adapt to a dynamic high paced environment;
- At least 5 years of front office quantitative development experience;
- Broad understanding of equities markets and portfolio construction;
- Applicant should have a demonstrated track record of success in challenging environments;
- Strong working knowledge of linear algebra and statistics;
- Strong communication skills required as this role involved direct communication with risk management and trading;
- Solid data-mining and analysis skills, including experience dealing with a large amount of data/tick data;
- BS from a strong academic university or college;
- Experience with alpha development and simulation;
- Proficiency in back-testing, simulation, and statistical techniques (auto-regression, auto-correlation, and Principal Component Analysis);
- Strong programming skills in C++, MATLAB, and R;
- Experience with one of the following: Futures, Currencies, Commodities, FX, or CTA;
- Knowledge of the full cycle from alpha development to trading issues within your area of specialization.