精选Quant岗位 | SIG、Jane Street、Arrowstreet Capital l等公司持续热招！

公众号新闻

2023-05-13 01:05

为大家献上今天的精选岗位！

👇👇👇

【SIG】

职位：Quantitative Strategy Developer Intern- Campus PhD

行业分类：Aseptic cartons, filling equipment and service

公司规模：5,500人

工作地点：Bala Cynwyd (Philadelphia Area), Pennsylvania United States

职位要求：

Currently pursuing a PhD in Computer Science, Mathematics or closely related discipline
Experience with distributed systems and microservice architecture
Strong numerical programming or HPC experience
Expertise in C#, C++, or Python is required

职位申请链接（请直接复制至浏览器打开）

https://careers.sig.com/job/6794/Quantitative-Strategy-Developer-Intern-Campus-PhD

【Jane Street】

职位：Research Scientist Internship, Machine Learning

行业分类：Proprietary trading firm

公司规模：2,000+人

工作地点：New York

职位要求：

We don’t expect you to have a background in finance or any other specific field—we’re looking for smart people who enjoy solving interesting problems. We’re more interested in how you think and learn than what you currently know. You should be:

Able to apply logical and mathematical thinking to all kinds of problems
Intellectually curious—asking great questions is more important than knowing all the answers
A strong programmer who is interested in learning to write code in OCaml, even if you’ve never done functional programming before
An open-minded thinker and precise communicator who enjoys interacting with colleagues from a wide range of backgrounds and areas of expertise
Fluent in English

职位申请链接（请直接复制至浏览器打开）

https://www.janestreet.com/join-jane-street/position/6302203002/

【Arrowstreet Capital】

职位：Quantitative Researcher

行业分类：Equity asset manager

公司规模：300人

工作地点：Boston

locations
Boston

职位要求：

Enrolled in an undergraduate or graduate program in finance, mathematics, economics, or a closely-related discipline emphasizing quantitative and financial analysis.
Demonstrated professional or academic success (recent graduates are encouraged to apply)
Strong analytical, quantitative, and problem solving skills
Understanding of probability, statistics, linear regression, time-series analysis, linear algebra, calculus, optimization and portfolio theory
Knowledge of the application of statistics to economics (including econometrics or regression analysis)
Experience with a statistical computing environment such as Python, Stata, R, or MATLAB
Experience analyzing large data sets
Understanding of finance (including equities and derivatives)
Passion for financial markets
Excellent communication skills, including data visualization
High energy and strong work ethic