All active Research Scientist roles based in Shanghai.
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WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform.
WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement.
Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it.
WorldQuant is seeking exceptional individuals to join the firm as a Data Scientist. While prior finance experience is not required, a successful candidate must possess a strong interest in learning about finance and global markets.
If any issues encountered accessing the online application webpage or if you have any questions, please mail your latest CV to or contact us at WQBJQuantJobs@worldquant.com
如无法浏览在线申请网页或您有任何疑问,请将您的简历或问题发送至 WQBJQuantJobs@worldquant.com
The position is based in our research office in Beijing or Shanghai.
预期工作地点为北京或上海的研究办公室。
By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction.
Copyright © 2025 WorldQuant, LLC. All Rights Reserved.
WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.
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Apply to WorldQuantWHAT YOU’LL DO:
As a data scientist in our options market making team, you will play a key role in improving our trading strategies through rigorous data-driven analysis. You’ll take a scientific approach to understanding how our systems perform in live markets—developing hypotheses, building experiments, and using advanced analytics to uncover opportunities for improvement.
You’ll work with large-scale production trading data to identify patterns, test ideas, and evaluate strategic changes. This may include leveraging statistical modeling, machine learning techniques, and other quantitative methods to better understand market dynamics and strategy behavior.
You’ll collaborate closely with traders and engineers, but your work will be rooted in independent thinking, analytical rigor, and a strong focus on real-world impact.
WHO YOU ARE:
Diversity Statement
Optiver is committed to diversity and inclusion. We encourage applications from candidates of all backgrounds, and welcome requests for reasonable adjustments during the process.
Privacy Disclaimer
Optiver 重视个人信息的保护。请您在提供个人信息给我们之前,认真阅读Optiver China Privacy Notice, 了解我们如何收集及处理您的个人信息。
Personal information protection is of utmost importance to Optiver. Before you provide any personal information to us, we strongly urge you to read our Privacy Policy to acknowledge how we collect and process your personal information.
Ready to apply?
Apply to Optiver
The Trade Desk is a global technology company and the world’s leading independent platform for digital advertising, with nearly 4,000 employees across more than 30 offices. Our technology helps advertisers reach the right audiences across the open internet — from streaming TV and podcasts to mobile apps, news, and more.
Advertising powers the content people love. By making it more transparent, effective, and responsible, we help support trusted journalism, quality entertainment, and creators worldwide. The world’s brands and agencies rely on us to reach their customers and grow their businesses responsibly.
The scale of our platform brings unique technical challenges — from processing massive datasets in real time to building systems that operate reliably on a global scale. When you work here, your impact is worldwide. We welcome diverse perspectives, encourage curiosity, and build teams that learn from one another. If you’re driven to solve meaningful challenges, we’d love to meet you.
WHO WE ARE LOOKING FOR:
At The Trade Desk, the Data Science team is responsible for transforming our hundreds of terabytes of Real-Time Bidding (RTB) advertising auction data into actionable intelligence, using advanced modelling and optimization algorithms. Our mission is to develop new and powerful means of growing the value of our client’s campaigns across millions of web-based publishers. Our team believes in innovation that contributes to our product. In this role, you will be a key member in the development of entirely new data products and the improvement of existing ones, all while using world-class machine learning. You will interact primarily with our product, trading, and engineering teams to oversee the implementation of your data products. Your ideas and research will contribute directly to our client facing product.
WHAT YOU WILL BE DOING:
WHAT YOU BRING TO THE TABLE:
NON-TECHNICAL QUALIFICATIONS:
TECHNICAL QUALIFICATIONS:
The Trade Desk does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of The Trade Desk. The Trade Desk is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.
As an Equal Opportunity Employer, The Trade Desk is committed to creating an inclusive hiring experience where everyone has the opportunity to thrive.
Please reach out to us at accommodations@thetradedesk.com to request an accommodation or discuss any accessibility needs you may require to access our Company Website or navigate any part of the hiring process.
When you contact us, please include your preferred contact details and specify the nature of your accommodation request or questions. Any information you share will be handled confidentially and will not impact our hiring decisions.
Ready to apply?
Apply to The Trade DeskSenior Battery Cell Modeling Scientist - Simulation
Responsibilities
Responsible for building cell mathematical simulation models (physical models and data-driven models) to predict the performance of Li-ion batteries/Li-metal batteries under various working conditions, including dynamic performance, lifetime decay, electrochemical and thermal response, and safety-related cell behavior
Design and advance experiments to obtain parameters/data required to build cell models
Work with cross-functional teams to develop, deploy, test, and maintain models
The electrochemical/thermal data of the cell under different working conditions are generated by using the certified physical model of the cell to provide data support for the establishment of the data-driven model
Establish a standardized process for cell physical modeling to reduce the resources/time required for modeling
Work with the battery team to determine and achieve battery performance life goals
Qualifications
Master’s degree or above, more than 5 years of battery related research/work experience
Basic knowledge of cell electrochemistry (P2D), thermal, mechanical modeling and simulation. Familiar with electrochemical principle, simulation parameter measurement method and corresponding equipment
Familiar with various battery-related models/algorithms, and have experience in using cell model software (COMSOL, Ansys, PyBaMM, etc.)
Experience in building data-driven models (statistical analysis, machine learning, AI)
Proficient in code development tools, such as Python or Matlab
Ready to apply?
Apply to SES
Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.
Jump Trading's Post Trade Analytics Team plays a crucial role in measuring and optimizing performance and trade execution across all global markets where the firm operates. This team is responsible for developing, operating, and maintaining performance measurement solutions, as well as conducting a wide range of post-trade analyses for various departments, including trading, business development, and other central teams. Daily, the team's core infrastructure collects, organizes, and stores billions of data points related to trading performance.
As a Data Scientist on the PTA team, you will conduct cutting-edge analyses on this extensive data to uncover competitive edges, answer complex business questions, and identify root causes of underperformance. This role offers a comprehensive view into Jump's business through the lens of data, along with the opportunity to develop both trading and technical expertise. Your work will significantly contribute to Jump's success by mining and enriching data to drive informed decisions and strategies. The ideal candidate will have the ability to work closely with and collaborate across trading and trading infrastructure teams. We are looking for an individual who is instinctively curious, self-driven, keen to dive into the complex trading world, and has demonstrated an ability to independently drive tasks and projects to completion in a team environment.
What You'll Do:
Skills You’ll Need:
Ready to apply?
Apply to Jump Trading
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