Velocity Clearing LLC
Quantitative Engineering Associate
Skills
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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