V. Compliance and Qualification - License Requirements Required: FINRA Series 7 (General Securities Representative) and Series 63 (State Securities Regulations). Preferred: Series 57 (Securities Trader Qualification), CFTC registration (if dealing with futures/derivatives). Compliance Record: Have no SEC/FINRA penalty records and must pass the FINRA BrokerCheck and background checks. VI. Soft Skills Psychological Traits: Have extreme stress - tolerance and be able to adapt to the fast - paced and highly volatile Wall Street environment (such as market crashes, black - swan events). High - level Discipline: Be highly disciplined and strictly adhere to risk - control rules to avoid excessive risk exposure. Be familiar with New York trading hours (9:30 - 16:00 EST) and be able to adapt to long working hours (such as overtime during earnings seasons). Willingness to Learn Continuously: Have a strong willingness to learn continuously and keep track of the impact of AI and quantum computing on trading. VII. Plus Factors - Chinese - concept Stocks/Cross - border Experience Knowledge of Chinese - concept Stocks and Market Linkages: Be familiar with the regulatory risks of Chinese - concept stocks listed in the US (such as PCAOB audit disputes), the linkages between Hong Kong stocks/A - shares and US stocks, and Tesla's trading models and strategies. Networking Resources: Have an active social network in the Chinese - American financial community on Wall Street (such as CFA Society NY, Chinese Hedge Fund Association). Academic Achievements: Have published quantitative trading papers or possess patented algorithms (such as high - frequency order flow prediction models).

I. Educational Background Basic Degree: A bachelor's degree in finance, mathematics, computer science, economics, or related fields. Preference will be given to graduates from Ivy League universities or those ranked in the top 20. Advanced Qualifications: A Master of Financial Engineering (MFE), an MBA, or a master's/doctoral degree in quantitative - related fields. Candidates with a background from institutions like MIT, CMU, or Stanford will have an edge. Certifications: CFA (with an emphasis on investment analysis), FRM (focused on risk control), CAIA (for alternative investment), or FINRA Series 7/63 licenses (either required upon application or to be obtained after joining the company). II. Professional Experience Wall Street Institution Experience: Possess over 5 years of trading experience in the US stock secondary market. Must have served as a trader in Wall Street investment banks (such as Goldman Sachs, Morgan Stanley), hedge funds (such as Citadel, Two Sigma), or proprietary trading firms (such as Jane Street, Optiver). Verifiable real - trading performance records (such as annualized returns, Sharpe ratio, maximum drawdown, etc.) are required and will be verified through background checks and reference letters. Market Depth Requirement: Be well - versed in the microstructure of the US stock market (including order book liquidity, dark pool trading, and exchange matching mechanisms) and mainstream asset classes (stocks, ETFs, options, futures, and derivatives). Complex Strategy Experience: Have experience in high - frequency trading (HFT), statistical arbitrage, event - driven trading, and cross - asset arbitrage. Compliance and Regulation: Be familiar with the regulatory frameworks of the US SEC, FINRA, and CFTC. Understand the trading restrictions imposed by the Dodd - Frank Act and the Volcker Rule. III. Skill Requirements - Technical Tools Mastery of Wall Street's Mainstream Trading Systems: Be proficient in Bloomberg Terminal, Reuters Eikon, and Charles River OMS/EMS. Proficiency in Algorithmic Trading Platforms and Risk Management Systems: Skillfully use algorithmic trading platforms (such as QuantConnect, AlgoTrader) and institutional - level risk management systems (such as MSCI RiskMetrics). Quantitative and Programming Requirements: Be proficient in Python (NumPy/Pandas), SQL, and C++ (essential for high - frequency trading positions). Plus Factors: Familiarity with the application of Kdb+/Q (time - series database), Rust, and machine - learning frameworks (TensorFlow/PyTorch) in trading strategies. The ability to independently build financial models (DCF, LBO), analyze financial reports (10 - K/10 - Q), and track macro - economic data (non - farm payrolls, CPI, FOMC meetings). IV. Language and Cultural Adaptability - English Proficiency Native - level English: Be able to write professional trading reports, participate in compliance meetings, and communicate with regulatory authorities. Proof of TOEFL 110+ or IELTS 8+ is required. Preference for Chinese - speaking Candidates: Chinese - speaking candidates will be given preference. Fluency in Mandarin, familiarity with the differences between the Chinese and US markets, and the ability to assist in expanding Chinese - speaking clients or analyzing Chinese - concept stocks (such as ADRs, VIE structures). Adaptability to multicultural teams and understanding of Chinese workplace communication norms (not mandatory but preferred).