精選QUANT崗位|Point72、Oldmission、BlackRock秋招持續熱招！

為大家獻上今天的精選崗位！

👇👇👇

【Point 72】

職位：Quantitative Developer

行業分類：Hedge fund

公司規模：1,800+ (2022)

工作地點：Chicago

職位要求：

Undergraduate or graduate degree in Computer Science.
2+ years of experience developing research and trading infrastructure at a financial institution, or demonstrated excellent skills required for the role.
Prior experience with execution/order management systems, real-time data servers, and visualization is a plus.
Solid understanding of Linux OS—system components, process management, shell scripting.
Proficiency in Python, including in the object-oriented design, unit/reg testing, conda environment management.
Knowledge of SQL, JavaScript, Apache airflow.
Strong communication skills.
Willingness to take ownership of his/her work.
Commitment to the highest ethical standards.

職位申請連結（請直接複製至瀏覽器開啟）

https://careers.point72.com/CSJobDetail?jobName=quantitative-developer&jobCode=CSS-0013527&location=Chicago&locale=English&retURL=/CSCareerSearch

【Old mission】

職位：College Graduates – Full-Time – Junior Quantitative Trader (2026)

行業分類：global proprietary trading firm

公司規模：149

工作地點：Chicago, Illinois, United States

職位要求：

An undergraduate or an advanced degree in a quantitative field such as computer science, engineering, or one of the hard sciences
Proficiency with at least one of the following languages: Python, C++, VBA, Java, R, Matlab
The ability to work and solve problems as part of a team, often in a high-pressure environment
Proven trustworthiness and performance under the highest ethical standards
A strong desire for knowledge and to understand how things work
Superior written and verbal communication skills
A strong work ethic and ability to adapt quickly in a fast-paced environment

職位申請連結（請直接複製至瀏覽器開啟）

https://www.oldmissioncapital.com/careers/?gh_jid=6602920003

【BlackRock】

職位：Associate, Financial Engineer/Quantitative Researcher

行業分類：Investment management

公司規模：18,400

工作地點：New York

職位要求：

Bachelor’s degree in Finance, Economics, Financial Engineering or related quantitative fields;
and 24 months experience in the job offered or in a related occupation. Requires 24 months of experience involving the following:
1. Evaluating financial markets, credit risk, and interest rate risk relative to macroeconomic factors on securitized product pricing and performance;
2. Programming using Python and R to build statistical models, automate data extraction, processing, and create reports;
3. Implementing statistical methods and tools for data analysis including regression analysis, time series analysis;
4. Utilizing data management and manipulation using SQL, including the ability to extract, clean, and transform large datasets from various sources.