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Wizard Quant 2025 Campus Recruitment Open for Application!

WizardQuant' s all-star team is made up with both Wall Street veterans and smart talented rookies. The spirit of discovery and a relentless pursuit of excellence keep driving us forward.

01. Pioneer

02. Fighter

03. Responsibility

Integrity, perceptiveness, enthusiasm, innovation, pioneering ...... These are the tags belonging to our people. Listen to their stories to learn what it's like to work at here.

Wizard Quant is a full-service quantitative hedge fund in China. Based on advanced research, trading and asset management system, we have sustainable profitability in domestic futures, stocks, options and other mainstream markets.

Founded in 2014, we have been working with the dream of building the world's top Chinese quantitative hedge fund, and continuously working diligently and eagerly looking forward to each and everyone of our fellow travellers.

Wizard Blog

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From low-latency infrastructure to AI cluster customization, from hardware design to compilation and optimization, from efficient AI training to extremely fast inference, our IT team keeps expanding the boundaries and develops a cross-platform, cross-scene, software and hardware integrated computing ecology.

Talent is the most valueable asset in WizardQuant. We spend time extensively to hire and cultivate extraordinary people. We are top scorers, PhDs of top institutions, International Math Olympiad medalists. We have traversed the world, working for the likes of Two Sigma, Citadel, Point 72 and more. Brightest minds from all parts of the world come here to collaborate on challenging problems, learn from each other and advance the computing technologies in financial market.

Research Team is the core of the whole company. They work collaboratively to create, review, and improve profitable strategy models with advanced and rigorous statistical and machine learning tools. They keep building new competitive advantages on top of their current portfolios.

Human resources, administration, risk control &compliance, brand, product operation, channel development, finance .... Whether working directly with clients and candidates or managing important internal initiatives, you will be part of an exceptional team making a measurable difference across the business.

50% of the partners have joined the company since their internship, 80% of R&D leaders come from freshmen training. Mentor offers each team member a customized training program and a well-defined professional path, to ensure rapid growth of everyone.

Infinite Development

Our extraordinary team members include Wall Street veterans from Citadel, Two Sigma, Point72, BNP Paribas and other world-renowned financial institutions, as well as PhDs from Tsinghua, Peking University, MIT, Cornell, UCB, Columbia, NYU and other prestigious schools. There are also top scorers and Olympiads medalists. We come together, set ambitous goals and make unexpected breakthroughs.

Extraordinary Teammates

Salaries, bonuses and funds，each employee can grow with the company and share the benefits as well.

Incentive Program

Wizard Intelligence Learning Lab(WILL) Recruitment Now Open!

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Explore the core functionalities of the WQ platform

Core Technologies

Create an autonomous toolchain and thoroughly deploy hardware-software codesign techniques, to approach the physical limits of hardware.

Compiler Magic

One complete and efficient feature engineering platform; modern and sophisticated portfolio frameworks, in-depth and detailed market impact models.

Statistical Arbitrage

Embrace the new generation of parallel paradigm, integrate HPC into AI scenarios, and build highly optimized machine learning tools throughout the entire process of data processing, training, optimization, inference and deployment, to explore new computing frontiers.

Machine Learning

Meet the Wizards

WizardQuant - The Magic of Computing

01 Source

Global Data
Collection System

02 Storage

High Performance Storage System

03 Research

High Concurrency Strategy
Development Platform

04 Optimization

Portfolio Construction Engine

Technologies

WILL is an entrepreneurial laboratory incubated by WizardQuant. Starting from but not limited to financial scenarios, WILL sincerely invites students, new graduates, and experienced professionals to join us and embark on a journey across vast expanse of artificial intelligence.
&nbsp;
AI researchers focus on building the next generation of AI models and algorithms that will propel us towards ASI for Sci-Tech. The ideal candidates should have profound expertise in deep learning, reinforcement learning, and advanced reasoning models. You&#8217;ll conduct innovative research on LLMs and work with engineers to implement research outcomes at scale. We expect you to be hands-on, innovative, enthusiastic to solve real problems and eager for breakthroughs.
&nbsp;
Core Responsibilities
<ul>
<li>Core model development: Keep up with the forefront oftechnology, innovate model architecture, enhance model performance in various stages such as data synthesis, pre-training, and post-training, and improve reasoning and planning capabilities.</li>
<li>Training method optimization: Optimize training algorithmsand paradigms, improve model efficiency and performance, and explore Scaling Law boundary.</li>
<li>Evaluation &amp; Benchmarking: Develop reliable evaluation metrics and benchmarks to measure model performance, inferencecapability, and security, enhance understanding of models, and help improve</li>
<li>Cross-team collaboration: Work closely with AI engineers to transformresearch prototypes into scalable implementations. Guide the integration of new algorithms with AI infrastructure to solve engineering challenges in training, deployment, and inference.</li>
</ul>
&nbsp;
Qualifications
<ul>
<li>Outstandingresearch experience in deep learning, reinforcement learning and other relevant fields, familiar with NLP/LLM algorithms at all stages, ACM/ICPC/IOI winners are preferred.</li>
<li>Excellent engineering ability, proficient in using frameworks such as PyTorch/TensorFlow/JAfor prototype development, familiar with data analysis and scientific computing related libraries.</li>
<li>Excellent analytical skills and creative thinking, tackling problems with first principles thinking, formulating hypotheses and verifying them through experiments.</li>
<li>Passionate about cutting-edge AI research, technology-driven, stronghands-on ability, able to transform theories into practical models.</li>
</ul>

AI Researcher

WILL is an entrepreneurial laboratory incubated by WizardQuant. Starting from but not limited to financial scenarios, WILL sincerely invites students, new graduates, and experienced professionals to join us and embark on a journey across vast expanse of artificial intelligence.
&nbsp;
AI engineers build and optimize infrastructure and software stacks for ASI for Sci-Tech, and are deeply involved in the co-design of algorithms and systems for LLMs. Your responsibilities include but are not limited to computing cluster optimization, LLM training pipelines, efficient training and inference, and MLOps.
&nbsp;
We are looking for candidates who are proficient in modern AI tool chains and large model infrastructure, and who are passionate about implementing the outcomes of cutting-edge research, with the goal of building the technical foundation for advanced AI systems and ensuring their efficient operation.
&nbsp;
Core Responsibilities
<ul>
<li>Computing cluster optimization: Participate in the construction of AI infrastructure, optimize network, storage, and hardware, build a solid and efficient AI foundation.</li>
<li>Software platform construction: Design a high-performance and scalable AI application service architecture, ensure high availability and low latency in the production environment.</li>
<li>Training pipeline optimization: Quicklyiterate LLM training pipelines, including data preprocessing and distributed training, ensure that the training process is robust and scalable.</li>
<li>Model optimization: Collaborate with AI researchers to continuously optimize model training and inference Carry outperformance analysis and tuning to resolve system bottlenecks.</li>
</ul>
&nbsp;
Qualifications
<ul>
<li>Education background incomputer science, engineering or other related fields, with solid CS skills.</li>
<li>Proficient in Python and C++.</li>
<li>Expertise in high-performance computing, distributed computing, MLOps and deployment, model optimization, big data systems, etc</li>
<li>Passionate about implementing cutting-edge AI solutions, self-motivated,collaborative mindset, and able to adapt to fast-paced challenges.</li>
<li>Technical expertise or implementation experience in the following areas is a plus:</li>
<li>1) Familiar with RDMA protocol,knowledgeable in distributed communication primitives optimization;</li>
<li>2) Familiar with general GPU architecture, with CUDA and CUDA-like operator performance optimization experience.</li>
</ul>

AI Engineer

<h1>Job Description</h1>
<ul>
<li>Conduct research and analyze enormous data sets to generate alphas, and evaluate their marginal effectiveness</li>
<li>Develop profitable predictive trading models, and contribute to portfolio optimization</li>
<li>Utilize new data sets to develop new strategies</li>
<li>Collaborate closely with quant developers to drive productivity</li>
</ul>
<h1>Qualification</h1>
<ul>
<li>Bachelor/Master/Ph. D students from top universities, majoring in machine learning, EECS, statistics, mathematics, physics, operation research, economics, finance or other relevant fields</li>
<li>Solid knowledge in mathematics and statistics</li>
<li>Strong programming skills in Python/R/MATLAB, with experience in data analysis and developing models</li>
<li>Collaborative mindset with strong independent research ability</li>
<li>Detail-oriented, full of curiosity and creativity, and passionate about solving problems</li>
</ul>