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Quantitative Engineering Associate

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Onsite

Quantitative Engineering Associate

Velocity Clearing LLC

Quantitative Engineering Associate

Skills

SQL QueriesPythonPyTorchTensorFlowData AnalysisMachine Learning

1 month ago

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Important information


Contract type:

Permanent

Salary:

$75,000 – $125,000 / year

Location:

New York, NY, USA

Work mode:

Onsite

Published on:

15 September 2026

What they need


Role Overview

We are seeking an experienced Associate to join our Quantitative Engineering team, bringing a strong background in data analytics, quantitative research, and programming. The successful candidate will have 3+ years of experience working with tools such as KDB+, Python, and SQL to analyze complex datasets and develop innovative solutions. This role focuses on building scalable data-driven solutions, delivering advanced reporting capabilities and contributing to the continuous advancement of analytics and research methodologies.

Key Responsibilities

  • Work with tick and order data, leveraging expertise in data-intensive workloads to develop scalable solutions.
  • Develop and maintain KDB+ systems, using Q programming to build dashboards, analytics, and TCA reporting tools.
  • Utilize Python and SQL to process, analyze, and extract insights from large and complex datasets.
  • Collaborate with cross-functional teams to design innovative solutions that meet business needs.
  • Apply machine learning techniques to develop predictive models and optimize analytics workflows.
  • Ensure the performance, accuracy, and reliability of analytics and reporting systems.
  • Continuously evaluate and adopt new technologies to improve efficiency and effectiveness.

Required Skills & Qualifications

  • Approximately 3+ years of experience in quantitative engineering, data analytics, or a related field.
  • Proven experience working with tick data, APIs, and large-scale, data-intensive workloads.
  • Proficiency in KDB+ and Q programming, particularly for building dashboards, analytics, and TCA reporting.
  • Strong knowledge of Python and SQL, with hands-on experience in building and maintaining data pipelines.
  • Solid understanding of Equity and Options financial markets and data.
  • Experience in integration of data through various APIs.
  • Hands-on experience with machine learning techniques and frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
  • Exceptional problem-solving skills, with the ability to work independently and collaboratively in a fast-paced environment.
  • Strong communication skills, with the ability to explain complex technical concepts to both technical and non-technical stakeholders.

Nice to Have

  • In-depth knowledge of equities and options markets, including trading dynamics and market structure.
  • FINRA Series 7 and Series 57 licenses.

Job Type: Full-time

Pay: $75,000.00 - $125,000.00 per year

Benefits:

  • 401(k)
  • Dental insurance
  • Health insurance
  • Life insurance
  • Paid holidays
  • Paid time off
  • Vision insurance

Work Location: In person

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