Trading Support Specialist

Shanghai, Shanghai, China

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Not SpecifiedCompensation

Junior (1 to 2 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Quantitative Finance, CybersecurityIndustries

Requirements

Candidates should possess a Bachelor's degree or higher. Prior experience in quantitative trading is highly preferred, along with familiarity with Linux environments and proficiency in Python or Bash scripting languages. In-depth knowledge of trading rules and regulations for various asset classes is essential. Excellent English reading and writing skills, strong execution skills, analytical thinking abilities, and problem-solving capabilities are required. Candidates must be effective communicators with a strong sense of responsibility and teamwork, and must be highly motivated to thrive in a fast-paced environment.

Responsibilities

The Trading Support Specialist will monitor real-time trading activities across domestic and international markets, including transactions, risk exposure, and other relevant data. They will accurately and timely execute trading orders using the proprietary quantitative trading system, identify and report any trading issues, and assist in optimizing trading execution, risk management, and capital management processes. The role includes staying abreast of market trends, collaborating with technology and strategy teams to enhance trading configurations and systems, developing and maintaining automated operations and monitoring tools, reconciling positions and trading data, maintaining trade logs, and preparing trading reports.

Skills

Python

Bash scripting

Linux

Trading rules

Risk management

Data analysis

Execution

Problem-solving

Communication

Teamwork

Tower Research Capital

High-frequency trading and technology solutions

About Tower Research Capital

Tower Research Capital operates in the financial markets by providing high-frequency trading services. The company uses advanced technology and algorithms to execute trades at very high speeds, allowing it to take advantage of small price discrepancies in the market. Its main clients are institutional investors, hedge funds, and other financial entities that need fast and reliable trading solutions. Tower Research Capital's business model focuses on generating profits through proprietary trading strategies and executing a large volume of trades with minimal delay. The company continually invests in research and development to stay ahead of its competitors in the high-frequency trading industry.

New York City, New YorkHeadquarters

1998Year Founded

$60MTotal Funding

VENTURE_UNKNOWNCompany Stage

Quantitative Finance, Financial ServicesIndustries

1,001-5,000Employees

Benefits

5 weeks of paid vacation per year

401(k) with company matching

Free meals and snacks

Reimbursement for health and wellness expenses

Risks

Talent drain to competitors may impact Tower's competitive edge in high-frequency trading.

Increased competition from new trading platforms could challenge Tower's market share.

Diversification into ventures like Sporttrade might divert focus from core trading activities.

Differentiation

Tower Research Capital excels in high-frequency trading with advanced algorithms and technology.

The firm offers rapid and reliable trading solutions for institutional investors and hedge funds.

Tower Research Capital continuously invests in R&D to maintain its competitive edge.

Upsides

Increased focus on AI-driven trading strategies enhances Tower's algorithmic capabilities.

Tower's investment in blockchain technology improves transaction speed and security.

Collaboration with academic institutions boosts algorithm development and innovation.

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