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Quantitative Developer

2 months ago

New York, New York, United States Next Ventures Full time
Quantitative Developer

We are seeking a highly skilled Quantitative Developer to join our team at Next Ventures. As a key member of our financial markets team, you will be responsible for designing, developing, and optimizing rule-based algorithms to detect suspicious trading behaviors.

Key Responsibilities:

  • Design and implement complex algorithms to detect market manipulation, including spoofing, frontrunning, and wash trades.
  • Collaborate with clients to implement and fine-tune trade surveillance systems, ensuring they are robust, scalable, and in compliance with regulatory requirements.
  • Build and maintain models that monitor trading activity across spot products, identifying patterns and anomalies in real-time.
  • Utilize advanced quantitative techniques to develop signals and scenarios that effectively detect fraudulent or non-compliant trading activity.
  • Work closely with compliance teams to understand evolving regulatory requirements and ensure surveillance tools are updated accordingly.
  • Perform quantitative tuning of trade surveillance systems to ensure they are optimized for different market conditions and product types.
  • Conduct thorough back-testing of algorithms and systems to validate performance and accuracy.

Qualifications:

  • 5+ years of experience as a Quantitative Developer, Data Scientist, or a similar role in the financial industry, preferably with hedge funds, proprietary trading firms, or financial technology providers.
  • Strong expertise in designing and implementing rule-based trade surveillance algorithms for detecting market manipulation.
  • In-depth knowledge of spot products and trading environments, with experience in analyzing and detecting market patterns specific to spot trading.
  • Proficiency in one or more programming languages commonly used in quantitative finance, such as Python, C++, R, or Java.
  • Strong understanding of market structure, order types, and how various trading signals work in a real-time environment.
  • Experience with quantitative tuning, back-testing, and model validation.
  • Ability to work with large datasets and implement complex, high-performance algorithms.

Nice to Have:

  • Experience with surveillance platforms such as SMARTS, Actimize, or similar tools.
  • Familiarity with machine learning models and how they can be applied to trade surveillance and detection.
  • Knowledge of regulatory frameworks such as MiFID II, Dodd-Frank, and other global trade compliance regulations.