Strategic Trader Opportunity

2 weeks ago

Singapore beBeeTrading Full time
Discretionary Trading Opportunities
Job Description

We are a global investment management firm that seeks to achieve high-quality, uncorrelated returns for our clients through a diversified portfolio of systematic and quantitative strategies across financial markets.

Our team has deep expertise in trading, technology, and operations, and we attribute our success to rigorous scientific research. We design and build our own cutting-edge systems, from high-performance trading platforms to large-scale data analysis and compute farms.

With offices around the globe, we emphasize true, global collaboration by aligning our investment, technology, and operations teams functionally around the world.

Building on our quantitative research platform and process-driven approach, we run discretionary strategies to take advantage of opportunities that cannot be traded fully systematically.

As a member of our Discretionary Trading team, 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 senior traders with daily portfolio monitoring, maintenance, and hedging.

You will leverage and develop a broad range of skills, including fundamental and macro analysis, research, portfolio construction, risk management, and execution.

We currently run discretionary strategies in Equities, Commodities, Rates/FX, and Credit, including Volatility trading across all asset classes.

Responsibilities
  1. Collaborate with senior traders and quantitative researchers to structure and evaluate new trading opportunities
  2. Generate PnL tracking and attribution reports based on trade ideas
  3. Monitor and analyze portfolio performance to generate risk reports
  4. Hedge books and allocate hedges appropriately
  5. Execute large or complex trades that cannot be automated due to complexity or liquidity constraints
Qualifications
  • Recent or soon-to-be graduates with relevant coursework, 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

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