① Bachelor degree or above from a key university, majoring in mathematics, computer, electronic engineering, applied mathematics, theoretical physics, probability and statistics and other disciplines highly related to quantitative analysis. 3-5 years of work experience in executing transactions in the financial industry

② Excellent mathematical and logical thinking skills, with basic knowledge of finance, including liquidity and volatility of capital markets, trading/hedging strategies, etc.

③ Strong data analysis ability, proficient in using excel/SQL and other common data processing software

④ Familiar with one or more programming languages such as SQL, Java, Python, C#, and Web

① PhD or above in mathematics, physics, statistics, computer and other related majors

② Have a solid research foundation, excellent academic achievements or papers are preferred

③ Have certain programming ability, be familiar with programming language in Linux environment, and be proficient in at least one of Python, Matlab, C++

④ Conscientious, meticulous and patient, with rigorous research habits

⑤ Winners of deep learning/machine learning, or IM/CMO competitions are bonus points.

① Familiar with any branch of machine learning (such as statistical learning, deep learning, reinforcement learning, combinatorial optimization or other related cutting-edge technologies, etc.)

② Interested in the quantitative industry, and have strong engineering realization ability

③ Master or doctorate degree in computer, mathematics, statistics or related majors

④ Familiar with one or more languages such as C++/Python/Go, solid coding skills and practical ability

⑤ Familiar with at least one deep learning framework: TF, Pytorch, etc.

① More than three years of experience in quantitative trading of CTA futures at home and abroad; strong interest in quantitative trading

② Graduated from famous universities at home and abroad, with a solid foundation in mathematical statistics and computer algorithms, excellent research and innovation capabilities, and in-depth research in at least one of the following fields: time series modeling, machine learning, image recognition, natural language processing

③ Have excellent programming ability, be proficient in C/C++, be proficient in one of R, Python, Matlab, and be familiar with common relational databases

④ Familiar with machine learning related algorithms, and have relevant research or project experience

⑤ Active work, with good communication and teamwork skills.

① Graduate degree from key universities at home and abroad. Computer, mathematics, physics and other science and engineering majors and compound education background experience is preferred

② More than 1 year working experience in stock quantitative strategy development or sell-side metalworking

③ Good at data processing, familiar with sql; have good programming ability, at least proficient in one language in python and matlab

④ Strong learning ability, able to complete research work independently, and have good communication skills and teamwork spirit

① Bachelor degree or above from well-known universities at home and abroad, majoring in science and engineering such as mathematics, statistics, physics, and computer

② More than three years of stock quantitative research experience in the A-share market, and a verifiable firm strategy is preferred

③ Solid mathematical statistics ability, rigorous research habits

④ Good programming ability, proficient in Python/C++, familiar with Linux system

⑤ Super self-driving force, good sense of teamwork, communication and coordination ability, active and responsible, conscientious and down-to-earth

① Master or doctorate degree in computer, mathematics, statistics or related majors, more than 3 years of relevant work experience

② Solid computer foundation, good data structure and algorithm skills, and strong sense of code quality

③ Proficient in at least one programming language such as Python, C++, Java, etc.

④ Familiar with the use of machine learning frameworks such as TensorFlow/pytorch/sklearn

⑤ Excellent learning ability, active thinking, good at discovering and solving problems from data

⑥ Experience in the development of major manufacturers such as machine learning, data mining, natural language processing, image recognition, and search engines is preferred

⑦ Strong interest in data science, artificial intelligence, financial technology

① Must have great interest and curiosity in securities research, be proficient in EXCEL (function, data analysis application), and be sensitive to data

② Master’s degree or above, with a combined background in science and finance is preferred; those with a bachelor’s degree but excellent conditions can also be considered

③ 3 years or more of relevant industry research experience is preferred

④ Have solid economic knowledge and financial theory, be familiar with commonly used valuation models, have CFA, CPA qualification certificate or pass the securities qualification examination is preferred

⑤ Have strong logical thinking ability, language expression ability and judgment ability, data processing and writing ability; can adapt to high-intensity work

① Bachelor degree or above, science and engineering majors are preferred

② Honest, responsive, conscientious and meticulous, strong execution

③ Experience in process design and optimization, project management or implementation experience

① Research the quantitative trading model of China's stock and futures market

② Cooperate with fund managers to optimize and monitor quantitative trading strategies in China's stock and futures markets

③ Analyze the statistical characteristics of market and transaction data.

① Have experience in research and development of futures (commodities, stock indexes, government bonds, etc.) strategies, including but not limited to high-frequency/intraday/arbitrage direction

② Familiar with options and various structured derivatives

③ Have 1-3 years of relevant work experience, graduated with a master/doctoral degree in financial engineering, mathematics and physics, and computer science from top famous schools at home and abroad

④ Strong programming ability, master at least one data analysis language including but not limited to Python, R, MATLAB, etc., familiar with sql, Oracle and other database languages

⑤ Love quantitative research, have the spirit of exploration, pay attention to details, be diligent and pragmatic, have a strong sense of responsibility and teamwork spirit

① 985/211 Bachelor degree or above in law or finance, with a background in studying abroad is preferred

② More than 3 years of experience in fund operation and management of securities, funds or well-known private equity companies, familiar with the operation process of securities funds and equity funds, those with qualification certificates such as risk managers, certified public accountants, auditors, or legal work experience in financial institutions are preferred

③ Familiar with the regulations, policies and regulatory requirements involved in the field of fund investment

④ Strict logic, rigorous and pragmatic, and strong awareness of risk management

⑤ Possess a qualification certificate for securities and funds.

① Bachelor degree or above from a prestigious university, majors in finance, computer, mathematics, statistics and other related majors are preferred, and master’s and doctoral degrees are preferred

② Rich experience in multi-factor stock selection, quantitative hedging and timing, rich experience in multi-strategy writing and actual combat

③ Experience in the management of stock strategy firm products is preferred, and must have independently managed at least one firm account, and the product firm offer drawdown is small

④ More than 3 years of stock quantitative investment experience, including but not limited to fundamental alpha, volume-price alpha, intraday stock rotation and other strategic directions, familiar with risk control models, and experience in firm strategy management is preferred

⑤ Strong programming ability, proficient in C++ or C# programming, master at least one data analysis language including but not limited to Python/R/MATLAB/SAS, etc.

⑥ Love quantitative research, have the spirit of exploration, pay attention to details, and be able to think deeply

⑦ Have excellent team leadership, cooperative spirit, pressure resistance and communication skills, and experience as team leader in well-known investment institutions at home and abroad is preferred

① Master’s degree or above in computer science related majors from world-renowned universities, doctoral degree is preferred

② More than 5 years of C++ development experience, with profound experience in C++ low-latency system development

③ Have a certain understanding of domestic and foreign financial markets, and developers who have participated in CTP or FIX-related projects are preferred

④ Familiar with Linux system and have in-depth research on Linux Kernel

⑤ Be able to write efficient mathematical calculation functions

⑥ Have in-depth research on Cache Friendly Code, and be familiar with relevant knowledge such as Data Dependency Chain, True/False Sharing, Cache Hit & Missing, Cache Contentions, Out of Order Execution, etc.

⑦ Have in-depth research on GCC compiler optimization, familiar with various optimization compilation options and the actual effect of each corresponding compilation

⑧ Familiar with Modern CPU and its related Instruction Set, including the latest features such as AVX and SIMD

⑨ Familiar with Assembly Code, able to achieve deep-level optimization of code by analyzing Assembly Code

① Bachelor degree or above in computer, communication, financial engineering or related majors, national key universities (211, 985 colleges) are preferred

② Be proficient in one of the mainstream programming languages such as C# and C++, and have more than 2 years of development experience

③ Familiar with multi-threaded programming model, in-depth understanding of TCP/UDP communication principles and relevant work experience

④ Have some experience in trading system, trading interface, quantitative trading related business

⑤ Diligent and careful work, strong communication skills, love to study technology, team spirit

⑥ Those with experience in the development of programmatic trading platforms or quantitative investment platforms are preferred

① Bachelor degree or above from key colleges and universities, majors in computer science, software engineering, mathematics, statistics, etc.

② Solid analytical skills and technical background in mathematics, computer science or finance

③ In a low-latency environment, be proficient in one or more programming languages (C++/Python, etc.)

④ Experience in distributed computing, natural language processing, machine learning, platform development, network or system design

⑤ Have excellent problem-finding and problem-solving skills, and be enthusiastic about solving challenging problems

⑥ Have excellent teamwork ability and rapid learning ability

⑦ Bonus points: Participated in the development of high-frequency trading systems, familiar with stock and futures market data, proficient in numerical computing and high-performance scientific computing, familiar with commonly used artificial intelligence and machine learning algorithms and their implementation, and won awards in programming competitions such as ICPC or NOI

① 1-3 years of data development, data cleaning experience, 985/211 computer, software engineering and other science and engineering majors

② Proficient in one or more development languages (Python/perl/Bash, etc.), obtain data, apply algorithms, and realize analysis output

③ Familiar with linux development environment, master common algorithms and data structures

④ Familiar with MySQL and NoSQL databases, and have good data multi-dimensional spatial thinking ability

⑤ Experience with reptiles is an advantage

⑥ Familiar with basic theories such as computer principles, operating systems, and computer networks

① Full-time master's degree or above, doctoral degree is preferred, majors in computer, physics, mathematics, etc.; more than 1 year of relevant work experience (excellent ability is not limited)

② Solid computer foundation, good data structure and algorithm skills, and strong sense of code quality

③ Proficient in at least one programming language such as Python, C++, Java, etc.

④ Familiar with the use of machine learning frameworks such as TensorFlow/pytorch/sklearn

⑤ Excellent learning ability, active thinking, good at discovering and solving problems from data

⑥ Development experience in machine learning, data mining, natural language processing, image recognition, search engine, etc. is preferred

⑦ Strong interest in data science, artificial intelligence, financial technology

① Computer, mathematics, statistics, accounting and other related majors in key colleges and universities

② Have more than 3 years of relevant working experience in financial institutions such as public offering and private placement

③ Familiar with financial settlement methods

④ Proficient in Python, have good programming habits, and be proficient in using GIT version management tools

① More than 2 years of experience in quantitative strategy opening and firm operation

② Qingbei reunion or 985 university education background

③ Must have a machine learning research background

④ Familiar with statistical modeling, multiple regression, time series analysis, etc.

⑤ Familiar with algorithms such as support vector machine, Boosting, random forest, etc.

⑥ Experience in optimization algorithms, familiar with concepts such as Lagrangian Duality, KKT conditions, SDP, interior point method, etc.

① Master’s degree or above in artificial intelligence, mathematics, statistics, computer, signal processing, financial engineering and other related majors from key universities at home and abroad; those with outstanding undergraduate degrees from top universities are also eligible

② Have basic financial investment knowledge and market insight, familiar with traditional machine learning and deep learning algorithm principles and application scenarios

③ Have solid mathematical modeling ability and programming ability, and be proficient in building machine learning models through Python, R and other languages

④ Clear thinking, strong logic, good at discovering and putting forward unique viewpoints, and good communication skills and cooperative attitude

① Proficient in at least one working language in python/C#/Matlab, technical experience in machine learning is preferred

② Master degree or above from top universities at home and abroad, solid foundation in mathematics/computer and other related disciplines, excellent professional results

③ PhD or related majors with gold medals at all levels are preferred

④ Good at solving open-ended problems and have systematic quantitative research experience

⑤ Not limited to the financial industry, scientific research and non-financial related work backgrounds can be considered

⑥ Those who have more than 2 years of system research experience in a certain field such as deep learning, NLP research and application in financial scenarios, multi-factor stock selection of Hong Kong stocks or US stocks, trading execution algorithms, high-frequency trading, and volatility forecasting can apply for senior Position.

① Bachelor degree or above, major in computer related

② Have more than 2 years or be proficient in Linux C/C++ software development experience, master Linux development

③ Familiar with software performance measurement and optimization

① 211 full-time bachelor degree or above, major in computer, electronics and automation

② Solid Python programming foundation, love programming, and have a good code style. Familiar with the basic usage and functions of numpy and pandas. Understand the basic methods of python code efficiency optimization

③ Familiar with relational databases, proficient in operating sql, familiar with database operation and maintenance

④ Familiar with the operation in the Linux system environment

⑤ Have a certain foundation in mathematical statistics, and be familiar with the concepts and methods of data cleaning. Love working with data and have a sense of responsibility

⑥ Understand the construction of distributed task system (CeleryRabbitMQRedis) and asynchronous network programming is preferred

① Electronics, communication, computer related majors, full-time 211 university or above bachelor degree or above

② More than five years of FPGA and C++ development experience

③ Strong VHDL or Verilog programming ability, good code and documentation style

④ Proficient in simulation environments such as Modelsim and Questasim

⑤ Familiar with the device structure of mainstream FPGAs such as Xilinx and Altera, proficient in high-speed digital logic design, timing constraints, timing and area optimization methods

⑥ There is an efficient FPGA debugging method

⑦ Experience in high-frequency trading system development, high-performance low-latency FPGA development, and PCIe interface development is preferred

⑧ In-depth understanding of linux operating system, rich experience in multi-core programming, in-depth understanding of I/O subsystem, memory management system, network protocol stack is preferred

⑨ Profound sensitivity to the principle of network card driver and performance bottleneck of the network protocol stack, the ability to modify the underlying driver, and the experience in coordination and tuning of upper-layer applications is preferred.

① Proficient in a programming language, with solid basic computer knowledge, and experience in using Linux

② Have excellent time management and project management skills, be able to manage and plan multiple requirements, allocate time reasonably, and complete on time

③ Have a strong sense of responsibility and cooperative spirit, be curious about cutting-edge and popular technologies, and be willing to share

④ The following experience or ability is preferred: pandas, SQLAlchemy, database design, container usage and management, algorithm competition experience

① Bachelor degree or above from well-known domestic and foreign universities, majors in finance, economics, etc.

② More than 5 years of work experience, including 3 years or more of sales/market-related experience in financial institutions such as banks, securities companies, public/private funds, trusts, etc.

③ Individuals have good actual sales performance, and those with high net worth customers or corporate customer resources are preferred

④ Good at listening, like to deal with people, practical, pay attention to teamwork, willing to grow with the company

⑤ Have strong subjective initiative, learning ability, and ability to withstand pressure, and can adapt to the business travel arrangements required by the company

⑥ Those with a fund qualification certificate are preferred.

① Bachelor degree or above, majors in finance and finance are preferred

② Be proficient in using various office software and have certain graphic editing and writing skills

③ Work diligently and practically, with strong professionalism and excellent learning ability

④ Have a strong sense of responsibility, professionalism, work conscientiously and meticulously, and be organized

⑤ Have clear logical thinking ability, good understanding and communication skills

⑥ Interested in the financial industry and have the ambition to develop for a long time.

① Sales experience in banks, brokerages, futures, funds and other institutions, interested in the quantitative industry, and experience in private fund sales management is preferred

② Have a certain basic knowledge of private equity funds, be familiar with financial markets and wealth management products, such as: trusts, banks, funds, securities, etc., and have strong professional capabilities

③ Strong logic, excellent communication and coordination ability, clear thinking and strong understanding ability

④ Individual high net worth client resources are preferred; institutional sales experience and client resources are preferred

① Bachelor degree or above from well-known universities at home and abroad above 211

② More than 2 years of recruitment experience, financial and financial technology talent recruitment experience is preferred

③ Have a data-driven awareness and be able to proactively discover and solve problems

④ Good at communication and coordination, proactive.

① Bachelor degree or above, major in law, human resources, undergraduate or graduate from 211 or 985 colleges

② More than 5 years of relevant industry human resources work experience

③ Have comprehensive management experience in human resource planning, recruitment, performance, compensation, talent development and training, employee relations, corporate culture, etc., and be proficient in relevant national and Shanghai laws and regulations

④ Understand related professional knowledge of enterprise management, public relations, contract management, law, etc. Have strategic thinking and strong implementation and execution ability, can formulate human resources policies and measures according to business development plans, and support business departments

⑤ Have good ability to analyze, judge, make decisions and solve complex problems

⑥ Have affinity, strong motivation, communication, coordination and team leadership skills.

① Graduated from famous universities at home and abroad in statistics, mathematics, physics, computer and other majors

② Solid statistical programming skills, familiar with the whole process of data analysis and data mining, and mastering basic mathematical statistical models

③ Experience in quantitative risk control is preferred

④ Have the spirit of Geek, can find problems from clues and design solutions to solve them

① 985/211 Bachelor degree or above in law or finance, with a background in studying abroad is preferred

② More than 3 years of experience in fund operation and management of securities, funds or well-known private equity companies, familiar with the operation process of securities funds and equity funds, those with qualification certificates such as risk managers, certified public accountants, auditors, or legal work experience in financial institutions are preferred

③ Familiar with the regulations, policies and regulatory requirements involved in the field of fund investment

④ Strict logic, rigorous and pragmatic, and strong awareness of risk management

⑤ Possess the qualification certificate for securities and funds

① Experience in security operation and management in the Internet industry is preferred; in-depth researchers on the attack chain are preferred;

② Familiar with tools such as Bash/Python/SQL, which can be used for automated analysis and improve work efficiency;

③ Familiar with mainstream network security products, such as DLP, IDS, IPS, firewall, logging system (SIEM/SPLUNK/ELK), etc.

① Experience in Solidity smart contract development, proficient in one of Solidity, Nodejs, and Python

② Follow up on the latest developments in DeFi technology and industry trends, and understand the economic models of mainstream DeFi products

③ Have a certain understanding of the underlying implementation of Ethereum, Bitcoin, Polkadot, Cosmos, not limited to P2P network, cryptography, EVM, cross-chain technology, etc.

① Bachelor degree or above, 1-3 years of product experience & more than 1 year of blockchain related work experience, financial and computer majors are preferred

② Experience in DeFi or financial products is preferred

③ With an international background, overseas work and study experience is preferred

① Able to use Python for data processing, proficient in Pandas, Numpy, etc.

② Experience in using machine learning toolkits, proficient in feature engineering of data

③ Able to implement strategy and model programming independently according to the paper

① Ability to use java, Python, golang is preferred

② Have a deep understanding of data structure and algorithm design

③ Familiar with databases and data warehouses, and have experience in massive data processing

① At least 8 years experience in data warehouse project development based on big data platform

② Familiar with Oracle, mysql, sqlserver or other relational databases, and have the ability to write SQL with good performance; familiar with mainstream big data components such as Hive, Spark, FLink, etc., and be proficient in developing data processing scripts with relevant technical specifications

③ Participate in or lead data platform construction projects, have a deep understanding of data work, be familiar with data warehouse and data modeling theory, and have certain insights and control capabilities for platform construction

① Bachelor degree or above in science and engineering, more than 1 year investment experience in blockchain industry

② Technical background, deep participants of Defi/smart contracts/Gamefi/web3.0