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Investment Specialist

Investment Specialist

acb securities company (acbs)
2-4 Years
Not Disclosed
  • Posted 9 hours ago
  • Be among the first 10 applicants

Job Description

JOB DESCRIPTION

  • Research ETFs, indices, quantitative models, and market data to develop and enhance investment strategies.
  • Monitor and analyze ETF NAV, iNAV, tracking error, performance, and portfolio composition; support portfolio rebalancing activities.
  • Develop, backtest, and evaluate quantitative investment models and trading strategies.
  • Develop, test, and maintain trading systems and data analytics tools.
  • Build systems to collect, store, reconcile, and validate real-time and historical market data.
  • Support the development of automated reports and verify and reconcile output results.

JOB REQUIREMENTS

  • Bachelor's degree or higher, preferably in Quantitative Finance, Econometrics, Mathematics, Computer Science, Economics, or a related field.
  • At least 2 years of relevant experience in a similar role at a securities company, asset management company, bank, or other financial institution.
  • Possession of a Financial Analysis Practice Certificate.
  • Strong understanding and practical application of quantitative models and machine learning techniques.
  • Experience with matrix operations, numerical linear algebra, and solving matrix-related problems.
  • Experience with data simulation and statistical simulation techniques, such as Monte Carlo simulation and bootstrapping.
  • Strong knowledge of time-series analysis, including model development, validation, and evaluation.
  • Advanced programming skills in Python, C/C++, or other programming languages.
  • Knowledge of high-frequency trading (HFT) models and system architecture.
  • Understanding and practical application of search algorithms, asynchronous and parallel computing, and microservices architecture.
  • Strong analytical and problem-solving skills.
  • Ability to work independently and collaboratively in a team.

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Key Skills

statistical simulation techniques

machine learning techniques

matrix operations

microservices architecture

data simulation

time-series analysis