- Analysis Skills
- Visual Basic
The Quantitative Strategies group is seeking a thoughtful investment professional with a strong knowledge of math and financial markets experience to join the team. The analyst will be responsible for the development and support of our quantitative analytics infrastructure. The analyst will work closely with members of the quant team to review monthly analytics that consist of risk exposures, performance attribution, portfolio characteristics, MPT statistics, style analysis and various proprietary stock models/screens. The analyst is also expected to participate in management and rebalancing of quantitative portfolios.
Develop core analytical capabilities using advanced statistical, quantitative, or econometric techniques.
Maintain analytical tools to address issues such as portfolio construction or optimization, performance measurement, attribution, profit and loss measurement, or pricing models.
Research new financial products or analytics to determine their usefulness.
Apply mathematical or statistical techniques to address practical issues in investment management.
Interpret results of various analytic reports.
Maintain or modify all models/screens in use.
Mathematics — Knowledge of algebra, geometry, calculus, statistics, and their applications.
Critical Thinking — Use of logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions or approaches to problems.
Judgment and Decision Making — Considering the relative costs and benefits of potential actions to choose the most appropriate one.
Complex Problem Solving — Identifying complex problems and reviewing related information to develop and evaluate options and implement solutions.
Active Listening — Giving full attention to what other people are saying, taking time to understand the points being made, asking questions as appropriate, and not interrupting.
Speaking — Talking to others to convey information effectively.
Writing — Communicating effectively and appropriately for the needs of the audience.
Persuasion — Persuading others to change their minds or behaviors
Bachelor’s degree required. Finance/Economics/Math degree, CFA Charter holder preferred.
Ideally two to five years of professional or academic quantitative equity research experience.
Demonstrated academic and professional accomplishments.
Excellent ability to provide thoughtful and independent ideas and work as a team player.
Excellent analytical skills in working with large data.
Excellent Excel skills with knowledge of Visual Basic macros.
Familiarity with financial software such as FactSet or Bloomberg is desired.
Knowledge of risk models such as Northfield or Barra is a plus.
Background in statistical software packages such as R or Matlab preferred.
Bessemer is committed to creating a diverse and inclusive environment, and is proud to be an equal opportunity employer. We encourage candidate of diverse backgrounds to apply.