Notes on the role:
Location
This role is based in Greenwich, CT office, with the expectation of being on-site 4-5 days per week.
Our client is a forward-thinking quantitative investment firm with over 10 years of exceptional performance in global futures trading. They harness data science, game theory, and advanced mathematics to uncover and exploit market opportunities. Their small, agile team thrives on tackling complex financial problems with innovative solutions.
Recently expanding into equities trading. The Team Trade Operations sits between Trading, Finance, and Engineering, supervising trading and allocations, monitoring the portfolios, and triaging time-sensitive issues. We concurrently evaluate and implement improvements and additions to processes and systems. The Role The role blends ownership of daily workflows with considerable latitude to enhance them. You will start by learning their systems and becoming a domain expert on all matters related to the T and T +1 trade workflow. If successful, you will execute critical projects as they scale their infrastructure.
Daily Responsibilities
• Monitor the progression of live orders, and ensure the accuracy of EMS/PMS throughout trading sessions.
• Assess order impact on portfolio metrics/risk, and allocate orders among clearing brokers to optimize margin. Identify favorable offsets.
• Reconcile trades, positions, PnL, commissions, and stock borrow. Resolve systemic issues and non-routine breaks with counterparties.
• Identify upcoming corporate actions and trading restrictions and their ramifications.
• Conduct ad-hoc analysis, e.g., trading hours by security, broker algos, value of exchange seats, etc.
• Assess and hedge portfolio FX exposure.
• Understand, track and ensure timeliness of margin-related movements.
Projects
• Automate as much of the above to the fullest extent possible without sacrificing efficacy and reliability.
• Constantly vet and integrate new tooling. Contemporaneously appraise what we already use.
• Shape how we ingest, store, and interface with data.
• Onboard new brokers and securities, and contribute to the launch of new strategies.
Experience and Skills
• Bachelors in CS, Econ, or Math from a top-tier school.
• Proficient in Python. Bash, Git, and VBA experience preferred.
• 1-3 years of relevant experience at a systematic/quant shop preferred. Intangibles
• Extremely reliable and responsible.
• Comfortable working under pressure.
• Excellent written and verbal communicator. Receptive to direct feedback.
• Eager to learn and contribute meaningfully.
• Passionate about engineering and automation.
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