Machine Learning Quantitative Researcher (Campus Hiring) at AlphaGrep Securities

Shanghai, Shanghai, China

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Not SpecifiedCompensation

Entry Level & New GradExperience Level

Full TimeJob Type

UnknownVisa

Quantitative Finance, Financial ServicesIndustries

Requirements

A master's degree or above in computer science or related fields from a prestigious university, graduating before July 2026
Excellent programming skills, proficient in Pytorch/Tensorflow, capable of rapidly developing and implementing various cutting-edge deep learning models based on one of the frameworks. Improving and tuning models with innovative ideas. A solid foundation in C++ programming is required
Priority will be given to candidates who have won awards in competitions such as ACM/ICPC, NOIP/NOI, and those with outstanding performance in machine learning competitions like Kaggle
Candidates with publications in international conferences (including but not limited to NIPS, KDD, CVPR, ICML, ACL, AAAI, COLT, AISTATS, WWW, SIGIR, IJCAI) or journals in the fields of machine learning, data mining, and recommendation systems are preferred
Passion for the quantitative industry and a clear career development direction is essential. Self-motivated candidates are preferred

Responsibilities

Apply machine learning and deep learning to quantitative trading strategies in the stock market
Explore cutting-edge model algorithms to extract information and build models in various quantitative scenarios

Skills

PyTorch

TensorFlow

C++

Deep Learning

Machine Learning

Quantitative Trading

AlphaGrep Securities

Quantitative trading and market-making firm

About AlphaGrep Securities

AlphaGrep specializes in quantitative trading and investment by developing and executing algorithmic trading strategies. The firm uses advanced mathematical and statistical methods to analyze large amounts of financial market data, allowing it to identify and take advantage of small inefficiencies in the market. AlphaGrep operates on over 30 exchanges worldwide, trading across all asset classes and is recognized as a leading global market maker, ranking high in trading volume on various exchanges. Unlike many competitors, AlphaGrep focuses on creating value through innovation rather than imitation, constantly seeking new opportunities in the financial markets. The company's goal is to provide liquidity and efficient market-making services to a diverse range of clients, including institutional investors, while generating revenue through its proprietary trading strategies.

None, Hong KongHeadquarters

2010Year Founded

M_AND_ACompany Stage

Quantitative Finance, Financial ServicesIndustries

201-500Employees

Benefits

Wellness Program

Gym Membership

Paid Vacation

Risks

New algorithmic trading firms increase competition, threatening AlphaGrep's market share.

Regulatory scrutiny on high-frequency trading may raise AlphaGrep's operational costs.

Cyber-attacks on financial institutions could lead to data breaches for AlphaGrep.

Differentiation

AlphaGrep specializes in algorithmic trading across over 30 global exchanges.

The firm uses advanced mathematical techniques to exploit market inefficiencies.

AlphaGrep focuses on innovation, not imitation, in financial market exploration.

Upsides

AI-driven trading strategies enhance AlphaGrep's algorithmic capabilities.

DeFi platforms offer new opportunities for AlphaGrep in liquidity provision and arbitrage.

5G advancements accelerate AlphaGrep's ultra-low latency trading infrastructure.

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