Quantitative Analyst Intern
Summer 2023
Posted on 1/24/2023
INACTIVE
Belvedere Trading

201-500 employees

Trading firm specializing in equity index & commodity derivatives
Company Overview
Belvedere's mission is to identify and capitalize on trading opportunities in an ever-changing global marketplace.
Fintech

Company Stage

N/A

Total Funding

N/A

Founded

2002

Headquarters

Chicago, Illinois

Growth & Insights
Headcount

6 month growth

-4%

1 year growth

-2%

2 year growth

15%
Locations
Chicago, IL, USA
Experience Level
Intern
Desired Skills
Python
C/C++
Data Analysis
CategoriesNew
Quantitative Finance
Requirements
  • Pursuing a PHD or master's level degree in Financial Mathematics/Computational Finance/Financial Engineering/Applied Math/Statistics or equivalent preferred
  • Proficient in Python, including algorithm development, data analysis and visualization
  • Experience in developing with other programming languages such as C++ or C#
  • Demonstrated experience analyzing large data sets
  • Familiar with options modeling
  • Experience with common methods in statistical analysis, regression, optimization and algorithm prototyping
  • Self-motivated to research and find reasonable explanations to phenomena observed in practical market environments
  • Strong communication, analytical and problem-solving skills with solid reasoning in data driven and theoretical approaches
  • Active team player motivated by a fast-paced environment
  • Graduation date of December 2023 or May/June 2024 (start date in person June 2023)
Responsibilities
  • Responsible for option modeling for multiple products such as indices, commodities, and equities
  • Run tactical tests for traders
  • Understand and work on issues ranging from methodology and technology questions to new functionality, features, and enhancement requests to meet present and future business needs and requirements
  • Research and interpret academic literature on related subjects
  • Generate ideas for quantitative strategies related to market effects, market microstructure, and other subtle marketplace changes
  • Develop, validate, and implement these strategies by applying econometrics, statistics, and stochastic modeling techniques to the financial data