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Quantitative Trader / Researcher - APAC

External
towerresearchcapital logoTowerresearchcapital · Hong Kong, Singapore
Full-timeOn-site8mo ago
ComplianceData AnalysisFPGAMachine LearningPythonRisk Management
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Responsibilities

  • Designing, implementing and deploying trading algorithms
  • Researching high to mid frequency alphas
  • Exploring trading ideas by analyzing market data, market microstructure and alternate data for patterns
  • Creating tools to analyze data for patterns and developing data platforms
  • Contributing to libraries of analytical computations to support market data analysis and trading
  • Developing, augmenting and calibrating exchange simulators

Requirements

  • A Bachelors, Masters or PhD degree in Mathematics, Statistics, Computer Science or equivalent STEM degree
  • Experience in quantitative trading is preferred but not a requirement
  • A strong background in mathematics and statistics
  • Proficiency in back-testing, simulation, and statistical techniques (auto-regression, auto-correlation and Principal Component Analysis)
  • Solid data-mining and analysis skills, including experience dealing with a large amount of data/tick data
  • Familiarity with signal generation and statistical models
  • Strong programming skills in Python or C++

Benefits

Tower's headquarters are in the historic Equitable Building, right in the heart of NYC's Financial District and our impact is global, with over a dozen offices around the world.Our benefits include:Generous paid time off policiesSavings plans and other financial wellness tools available in each regionHybrid working opportunitiesFree breakfast, lunch and snacks dailyIn-office wellness experiences and reimbursement for select wellness expenses (e.g., gym, personal training and more)Company-sponsored sports teams and fitness events (JPM Corporate Challenge, Cycle for Survival, Wall Street Rides FAR and more)Volunteer opportunities and charitable givingSocial events, happy hours, treats and celebrations throughout the yearWorkshops and continuous learning opportunitiesAt Tower, you'll find a collaborative and welcoming culture, a diverse team and a workplace that values both performance and enjoyment. No unnecessary hierarchy. No ego. Just great people doing great work - together.Tower Research Capital is an equal opportunity employer.Equity / stock options

Additional Information

Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. As a member of one of Tower's trading teams, a Quantitative Trader / Researcher will be using Tower's in-house trading system-one of the fastest and most comprehensive in the world-to develop and deploy algorithmic trading strategies based on patterns in market behavior.

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