Trade Monitor
ExternalFull-timeOn-site1mo ago
LinuxPythonRisk Management
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Responsibilities
- The Trade Monitor will work closely with the firm's senior management on a variety of tasks, including:
- Start and supervise automated trading systems for multiple exchanges and venues
- Understand how high frequency trading strategies work and make changes in strategy parameters during live trading based on market conditions
- Build, test and deploy trading monitoring software's to analyze strategy metrics in real time
- Work closely with Quantitative researchers and Software Developers while testing or deploying updates in GUI, trading infrastructure and strategies
- Assess live trading for risk and technical issues and quickly respond to unusual behaviors or market conditions
Requirements
- Must-Have Requirements
- Automated Trading Systems/Trading experience
- Trading Operations
- Market Monitoring
- Live Trade Supervision
- Trading Infrastructure
- Risk Management (Trading Context)
- Strategy Parameter Tuning
- Microsoft Office Proficiency
- Preferred Technical Skills
- Linux Basics
- Python
- Trading GUI Handling
- Ideal candidates:
- Flexible to work in rotational shift
- Possess a reliable and disciplined approach to work
- Strong attention to detail
- Excellent communication skills and fluency in English for business purposes
- Strong experience of using end user computing tools like Microsoft office and other equivalent products
- Bachelor's degree with professional experience in a related role at a stock broking firm
Benefits
NK Securities Research offers compensation above industry standards for deserving candidates. We are a fast-growing organization where there is no ceiling on the career trajectory of an individual. The startup style governance of the firm enables the newest employees to work with industry veterans.Vision insuranceFlexible scheduleEquity / stock options
Additional Information
NK Securities Research is a leading financial firm that leverages cutting edge technology and sophisticated algorithms to trade the financial markets. Founded in 2011, we have gained invaluable experience in the field of High Frequency Trading across different asset classes.
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