
Global Banking and Markets, FICC Commodities Strats, Analyst, Singapore
3 days ago
Our core value is building strong relationships with our institutional clients, which include corporations, financial service providers, and fund managers. We help them buy and sell financial products on exchanges around the world, raise funding, and manage risk. This is a dynamic, entrepreneurial team with a passion for the markets, with individuals who thrive in fast-paced, changing environments and are energized by a bustling trading floor.
YOUR IMPACT
We're looking for a professional to join our commodities desk strat team and help us develop new generation trading analytics utilizing modern mathematical techniques and system architecture solutions.
OUR IMPACT
Commodities desk strats use their quantitative and scientific training to solve complex business problems. We create cutting-edge derivative instruments and pricing models, provide insight into market behavior via statistical modeling, measure risk of our trading positions, and identify market opportunities. We also build scalable software infrastructure to keep track of our trading activities and market data flow around the world in real time and facilitate quick decision making.
HOW YOU WILL FULFILL YOUR POTENTIAL
- You will work in a small team of quants and developers on developing new and maintaining existing commodities analytics
- Some projects may involve data science because large datasets are available providing useful insights on most commodities markets
- You will work on developing advanced tools for Asia trading desk in both existing and new markets
- You will work on cutting edge real time market making analytics
- You will work on sophisticated mathematical models and trading strategies
BASIC QUALIFICATIONS
- Excellent academic record in a quantitative field: Mathematics, Physics, Computer Science, Engineering or related fields
- Minimum 1 year of experience in finance or a cutting-edge technology company
- Strong expertise in at least one of the following areas:
- AI/Machine learning
PREFERRED QUALIFICATIONS
- Prior experience in commodities at another
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