Trading Desk Analyst Jobs (NOW HIRING)

Eclipse Trading is a leading proprietary trading firm. Founded in 2007, we have over 120 employees across 4 office locations – Hong Kong (our HQ), Sydney, Shanghai and Chicago. Our trading expertise and strategies are deployed across several markets globally, focusing on various products including equity derivatives, delta one, ETFs, commodity derivatives, and cryptocurrency. Technology is inextricably linked to our trading strategies, creating an environment powered by intellectual curiosity, problem solving, and innovation.

We are looking for a sharp, data-driven individual who understands that the best trading models are born from the synthesis of rigorous research and live market intuition. This is not an ivory-tower role for pure number-crunching or detached theoretical modelling. Instead, you will work side-by-side with traders to codify their market intuition, convert abstract trading ideas into algorithms, and directly scale our competitive edge in production. This is an on-site role and this position is part of our global Quant and Integration team and will report to the Senior Trading Analyst of Quant and Integration.

This role is based in ourHong Kong office (relocation assistance and visa sponsorship will be provided for overseas candidates).

Responsibilities and Duties

1. Perform quantitative analysis on the market to improve existing trading strategies and develop new ones
2. Work with traders and quants to identify technical trading problems, conduct detailed research and deliver mathematical solutions
3. Derive fair value and price sensitivity of financial instruments based on mathematical theory and statistical models
4. Design and deploy automation tools to improve trading

What you offer

1. 1-3 years of hands-on experience working on or with a high to mid frequency trading desk that specializes in Delta One and ETF trading
2. Experience in ETF pricing and hedging
3. Pricing ETFs of different asset classes (equity, fixed income, commodity etc.)
4. Pricing ETFs with components across different time zones and exchanges
5. Pricing actively managed ETFs
6. Partial portfolio replication to optimize execution fees, tracking error and latency
7. Decomposing and quantifying residual basket and FX risk
8. Experience working with base valuation models, basket execution optimization and delta hedging algorithm
9. Market microstructure and order book dynamics
10. Algorithm to minimize market impact and execution slippage
11. Flow detection and alpha generation
12. Experience working with cross-border ETF market making system
13. General understanding on system architecture and network constraints
14. Risk aggregation and price adjustment propagation
15. Good command of spoken and written English
16. Exceptional proficiency in Python and data analysis libraries
17. A passion for turning theoretical research into profitable trading strategies
18. A self-starter who can take an ambiguous trading problem, structure an empirical experiment, and deliver production-ready solutions independently
19. A strong academic background in a quantitative or engineering discipline

What we offer

1. The opportunity to work in a collaborative environment where your contributions directly impact the success of the desk
2. A close-knit team that values innovation, creativity, and professional growth
3. Exposure to cutting-edge trading strategies and technologies in the volatility space
4. A flat management structure, where everyone's voice is valued
5. Work life balance within a multi-cultural environment

Eclipse Trading is an equal opportunity employer and we believe that diversity and inclusion are essential pillars of our success as a company. We are dedicated to embrace a culture reflecting a variety of perspectives, insights and backgrounds to drive innovation. We build talented and diverse teams to drive business results and encourage our people to develop to their full potential.

All information provided will be treated in strict confidence and used solely for recruitment purposes.

Due to the high number of responses that we receive, we are only able to respond to successful applicants.