My client is a global investment management firm that utilizes a diversified portfolio of systematic and quantitative strategies across financial markets that seeks to achieve high quality, uncorrelated returns for our clients. They have deep expertise in trading, technology and operations and attribute their success to rigorous scientific research. As a technology and data-driven firm, they design and build their own cutting edge systems, from high performance trading platforms to
large scale data analysis and compute farms.
With offices around the globe, they emphasize true, global collaboration by aligning their investment, technology, and operations teams functionally around the world. Building on their quantitative research platform and process-driven approach, they also runs discretionary strategies to take advantage of opportunities which cannot be traded fully systematically.
They are looking to hire recent graduates to join their Discretionary Trading team. As a Junior Discretionary Trader, you will have the opportunity to work alongside senior discretionary traders, who will provide on the desk training and mentorship. Your goal will be to help maintain target portfolio positions by assisting the senior traders with daily portfolio monitoring, maintenance, and hedging. As a collaborative organization, the discretionary traders work closely with quantitative researchers to leverage their world-class research platform to improve both discretionary and systematic strategies. You will leverage and develop a broad range of skills including fundamental and macro analysis, research, portfolio construction, risk management and execution. They currently run discretionary strategies in Equities, Commodities, Rates/FX, and Credit including Volatility trading across all asset classes. If you have an interest in trading and would like to learn how to manage your own risk over time, I encourage you to apply.
Responsibilities:
- Collaborate with senior traders and quantitative researchers to structure and evaluate new trading opportunities
- Generate PnL tracking and attribution reports based on trade ideas
- Monitor and analyze portfolio performance to generate risk reports
- Hedge books and allocate hedges appropriately
- Execute large or complex trades which cannot be automated due to complexity or liquidity constraints
Qualifications:
- Recent, or soon to be graduate, with relevant course work, internship, or other applicable experience or knowledge
- Bachelor’s degree in a quantitative or related field such as Mathematics, Statistics, Econometrics, Engineering, Operations Research, Computer Science, Physics, Economics, Finance
- Strong communication skills with the ability to collaborate with teammates globally
- Strong sense of urgency with the ability to work well in a fast-paced environment
- Programming skills essential, with at least one major programming or scripting language, strong preference for Python.