Quantitative Analyst - Jersey City, NJ (Not a VP role)

<h2>Role: Quantitative Analyst/Developer</h2><h2>Experience: 5 to 8 years (not a VP role)</h2><h2>Employment: W2 (USC and GC only)</h2><h2>Location: Jersey City, NJ</h2><h2>Work mode: Hybrid</h2><h2>Primary Requirement</h2><ul>
<li>Design, develop, and maintain research and prototype development platforms, including database architecture, stored procedures, query optimization, and performance tuning.</li>
<li>Develop, test, deploy, and support quantitative model prototypes, analytical tools, and automated workflows; monitor daily scheduled jobs and production processes.</li>
<li>Perform NSCC margin and stress testing model monitoring, performance reporting, and analysis to support risk management activities.</li>
<li>Collaborate with quantitative researchers and risk teams to support model development, research initiatives, and data analysis needs.</li>
<li>Translate business requirements into technical specifications and independently design, build, test, and document small-to-medium-scale projects.</li>
<li>Serve as a liaison between Financial Engineering, Market Risk, Risk Technology, and application development teams, facilitating effective communication between business and technical stakeholders.</li>
</ul><h2>Qualification</h2><ul>
<li>Master's degree in a quantitative discipline and at least 5 years of experience in quantitative development, database development, or financial model implementation.</li>
<li>Strong programming skills in Python, including experience with libraries such as NumPy, Pandas, SciPy, SQLAlchemy, pyodbc, subprocess, logging, and Snowpark.</li>
<li>Advanced knowledge of SQL and relational databases, with hands-on experience in database design, stored procedure development, query optimization, and performance tuning; Snowflake experience strongly preferred.</li>
<li>Proficiency with Linux, Git, Bitbucket, and modern software development practices.</li>
<li>Experience developing, implementing, or supporting financial and quantitative models, with familiarity with financial engineering concepts and terminology.</li>
<li>Strong analytical, communication, and problem-solving skills, with the ability to work independently, translate business needs into technical solutions, and effectively bridge communication between quantitative researchers and software developers.</li>
</ul>