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职位:Quantitative Systematic Trader
行业分类:Financial services, Banking, Global investment, Trading
公司规模:1,900+
工作地点:Bala Cynwyd (Philadelphia Area), Pennsylvania United States
职位要求:
Advanced Degree in a quantitative field such as Mathematics, Physics, Statistics, Electrical Engineering, Computer Science, Operations Research or related discipline.
Demonstrate excellent analytical problem-solving and logical reasoning skills.
Exceptional communication skills, both in the ability to understand others and to make yourself clearly understood.
Experience writing code to process and analyze large sets of data, especially in Python.
Experience in C++ or other low level programming languages is a plus.
Demonstrated interest in strategic games and/or competitive activities.
Ability to thrive in a fast-paced environment.
Previous finance industry experience is not required, but a passion for financial problem sets with real time impact is crucial.
职位:Quantitative Analyst
行业分类:Financial Services
公司规模:10K+ employees
工作地点:New York, United States
职位要求:
Previous experience working as a Quantitative Analyst developing models in quantitative finance
A higher level degree (Masters or PhD) in maths, physics, or quantitative finance from a top tier university
Teamwork skills
Knowledge of the standard pricing models used in the investment banking industry (Black-Scholes, Bachelier, local and stochastic volatility models, HJM framework)
C++ experience (preferably using Visual Studio), with some knowledge of modern C++ (at least C++11)
Familiarity with Rates Products and Models
Previous experience with advanced curve bootstrapping techniques is desirable
Solid background in quantitative finance: stochastic calculus, partial differential equations, no-arbitrage valuation, numerical analysis
Strong knowledge of Python
Experience with version control systems (such as Git) and distributed software development process
职位:Quantitative Research Intern, PhD
行业分类:Financial services
公司规模:1,390[1] (2021)
工作地点:AUSTIN
职位要求:
Currently enrolled in a PhD program in Mathematics, Statistics, Computer Science, Physics or a related STEM field with outstanding academic performance
Anticipated graduation date between December 2025 and June 2027
Availability to commence full-time employment upon graduation in 2026 or 2027
Must be available to intern during Summer 2025
Solid foundation in mathematics, probability, and statistics
Excellent research, analytical, and modeling skills
Independent research experience
Proficiency in any programming language
Knowledge of machine learning, time-series analysis, pattern recognition, and NLP is a plus
Strong interest in working in a fast-paced, collaborative environment
Fluent in English with strong written and verbal communication skills
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