Junior Quant Developer
A technology-driven investment advisory firm is seeking a Quantitative Developer to join their quantitative strategies team in Boston. The firm's primary multi-strategy hedge fund employs a variety of strategies, including Volatility, Equity Long/Short, Quantitative, and Macro, enabling it to adapt to different market environments and seize emerging opportunities.
The ideal candidate will be responsible for rapidly implementing and supporting technical processes and infrastructure for automated trading strategies in both equity statistical arbitrage and volatility arbitrage.
They will work closely with the investment team, participating in all aspects of the investment process. The role requires versatility, productivity, creativity, and a strong desire to learn and adapt quickly. Joining this team means your creativity, initiative, and teamwork will have a direct impact on trading profits.
Key Responsibilities:
- Collaborate daily with other Quantitative Developers, Researchers, and Portfolio Managers as a member of the Quantitative Development team.
- Develop quantitative infrastructure for alpha generation, portfolio construction, and algorithmic trading.
- Develop the firm's platform and support daily alpha construction and trading, including:
- Developing proprietary trading systems, data warehouses, service-based architectures, machine learning platforms, and simulation tools.
- Analyzing new data sources such as exchange data, company fundamental data, or unstructured data.
- Designing reporting and analysis tools for strategy risk, trade cost, and execution using data from a proprietary columnar database.
Job Requirements:
- Holds a bachelor's or advanced degree in computer science, engineering, statistics, or a related computational or quantitative discipline.
- Required proficiency in at least one scripting language such as Python, Bash, or Perl.
- Must have experience with relational database management systems like PostgreSQL, MySQL, etc.
- Required proficiency in one object-oriented or low-level programming language, such as Java, C++, or C.
- Knowledgeable in widely-used machine learning, deep learning, and statistical software packages.
Apply now to become an integral member of an innovative Quantitative Development team and make a significant impact within a leading investment advisory firm! Submit your application through the link below or send an updated resume directly
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