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        <title><![CDATA[The Phoenix Group: jobboards]]></title>
        <link>https://JOBS.TPGNYC.COM/</link>
        <description><![CDATA[Jobs At The Phoenix Group: jobboards]]></description>
        <language>en-us</language>
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            <title><![CDATA[Quantitative Data Engineer]]></title>
            <link><![CDATA[https://jobs.tpgnyc.com/jb/Quantitative-Data-Engineer-Jobs-in-Florham-Park-New-Jersey/14064823]]></link>
            <description><![CDATA[<br>Seeking a highly skilled Quantitative Data Engineer to advance proprietary investment systems within a leading research-focused asset management firm in Northern New Jersey. This pivotal role offers the opportunity to influence data-driven investment strategies and collaborate with a talented, cross-functional team in a high-impact environment.<br> 
<br><strong>Role Overview</strong><br>
The Quantitative Data Engineer is responsible for designing, implementing, and optimizing data infrastructure and models that support equity market investment strategies. This role requires expertise in financial data processing, analytics, and software development to enable data-informed decision-making in a fast-paced, research-oriented firm.<br> 
<br><strong>Key Responsibilities</strong><br> 
<ul>
<li>Develop, refine, and maintain quantitative models supporting equity market strategies and trading algorithms
<li>Design and enhance proprietary financial data repositories, data warehouses, and market data platforms
<li>Automate, monitor, and improve ETL workflows across multiple data sources such as Bloomberg, Compustat, and CapIQ
<li>Build and manage reporting, analytics dashboards, and performance metrics platforms
<li>Collaborate with quantitative researchers and portfolio managers to fulfill data requests and support model development
<li>Optimize large-scale data processing pipelines and storage solutions for efficiency and accuracy
<li>Ensure data quality, consistency, and security in production environments
</ul>
<br><strong>Core Qualifications & Requirements</strong><br> 
<ul>
<li>Master's or PhD degree in Computer Science, Engineering, Statistics, or a related quantitative field
<li>2+ years of professional experience with software coding in Python, Julia, C++, or C#
<li>Strong proficiency in SQL, stored procedures, and relational database management, with Microsoft SQL Server experience preferred
<li>In-depth understanding of financial equity data and institutional data sources such as Bloomberg, Compustat, CapIQ (familiarity preferred)
<li>Experience processing large, complex datasets with high performance and reliability
<li>Advanced skills in mathematics and statistical analysis for quantitative modeling
<li>Excellent communication skills and ability to work effectively within diverse teams and stakeholder groups
</ul>
<br><strong>Nice-to-Have Qualifications</strong><br> 
<ul>
<li>Experience with financial data APIs and data integration tools
<li>Knowledge of machine learning techniques and statistical modeling
<li>Familiarity with cloud data services and frameworks (e.g., Azure, AWS)
<li>Prior exposure to data governance, security protocols, and compliance standards
</ul>
<br><strong>Core Technical Skills</strong><br> 
<ul>
<li>Programming: Python, Julia, C++, C#
<li>Databases: SQL Server, SQL, Data Warehousing, ETL processes
<li>Data Platforms: Bloomberg, Compustat, CapIQ, other financial data sources
<li>Data Processing: Large dataset management, automation, scripting
<li>Statistical & Mathematical Analysis: Quantitative modeling, analytics, data visualization
</ul>
<br><strong>Career Impact</strong><br>
This role provides the unique opportunity to directly influence investment decisions through innovative data solutions, working within a collaborative environment that values technical expertise and strategic impact.<br> 
<br><strong>Compensation and Benefits</strong><br>
$150,000 - $225,000 base salary plus discretionary bonus, full benefits package, profit-sharing, 401(k), and paid time off.<br> 
<br><strong>Apply Today!</strong><br>
Join a forward-looking investment firm where data and technology drive successâapply now to be part of a team shaping the future of quantitative investing.<br> 
<br><em>The Phoenix Group Advisors is an equal opportunity employer. We are committed to creating a diverse and inclusive workplace and prohibit discrimination and harassment of any kind based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We strive to attract talented individuals from all backgrounds and provide equal employment opportunities to all employees and applicants for employment.</em><br> ]]></description>
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            <pubDate>Fri, 24 Apr 2026 00:00:00 EDT</pubDate>
            <job:referencenumber><![CDATA[14064823]]></job:referencenumber>
            <job:city><![CDATA[Florham Park]]></job:city>
            <job:state><![CDATA[NJ]]></job:state>
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            <job:postalcode><![CDATA[07932]]></job:postalcode>
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            <job:category><![CDATA[Quant Analyst]]></job:category>
            <job:payrate><![CDATA[$150,000 - $225,000]]></job:payrate>
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            <job:customfilter2><![CDATA[Investment Management]]></job:customfilter2>
            <job:customfilter3><![CDATA[]]></job:customfilter3>
            <job:repfirstname><![CDATA[James]]></job:repfirstname>
            <job:replastname><![CDATA[Bryan]]></job:replastname>
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            <title><![CDATA[Quantitative Analyst]]></title>
            <link><![CDATA[https://jobs.tpgnyc.com/jb/Quantitative-Analyst-Jobs-in-New-York-New-York/13660912]]></link>
            <description><![CDATA[<br>What Youâll Do Day-to-Day:<br>
As a key member of our team, you will utilize financial data to enhance profitability, mitigate risk, and optimize transaction costs. Your responsibilities will include generating fresh trading ideas, translating them into actionable systematic strategies, and rigorously evaluating their performance. Your insights will directly influence our trading operations and success on a global scale.<br> 

<br>Required Skills:<br> 

<ul>
&#9;<li>Exceptional academic record in math, statistics, physics, engineering, computer science, or a related technical discipline
&#9;<li>Proficiency in quantitative analysis, statistical modeling, and financial data analysis
&#9;<li>Strong programming skills in languages such as Python, R, C++, or similar
&#9;<li>Experience with data manipulation, algorithm development, and back-testing trading strategies
&#9;<li>Ability to think creatively and solve complex problems under pressure
</ul>

<br>Nice to Have Skills:<br> 

<ul>
&#9;<li>Experience with machine learning or artificial intelligence techniques in financial modeling
&#9;<li>Knowledge of financial markets, trading platforms, and risk management systems
&#9;<li>Familiarity with big data technologies and cloud computing environments
&#9;<li>Prior exposure to high-frequency trading or algorithmic trading strategies
</ul>

<br>Preferred Education and Experience:<br> 

<ul>
&#9;<li>Advanced degree (Masterâs or PhD) in a quantitative field is highly preferred
&#9;<li>Prior experience working in trading, investment firms, hedge funds, or related financial institutions is a plus
&#9;<li>Demonstrated success in developing and deploying quantitative trading models
</ul>
<br>
<em>The Phoenix Group Advisors is an equal opportunity employer. We are committed to creating a diverse and inclusive workplace and prohibit discrimination and harassment of any kind based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We strive to attract talented individuals from all backgrounds and provide equal employment opportunities to all employees and applicants for employment. </em>]]></description>
            <guid isPermaLink="false"><![CDATA[https://jobs.tpgnyc.com/jb/Quantitative-Analyst-Jobs-in-New-York-New-York/13660912]]></guid>
            <pubDate>Thu, 22 Jan 2026 00:00:00 EST</pubDate>
            <job:referencenumber><![CDATA[13660912]]></job:referencenumber>
            <job:city><![CDATA[New York]]></job:city>
            <job:state><![CDATA[NY]]></job:state>
            <job:country><![CDATA[US]]></job:country>
            <job:postalcode><![CDATA[10036]]></job:postalcode>
            <job:jobtype><![CDATA[Direct Hire]]></job:jobtype>
            <job:category><![CDATA[Quant Analyst]]></job:category>
            <job:payrate><![CDATA[$225,000 - $250,000]]></job:payrate>
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            <job:customfilter2><![CDATA[FinTech]]></job:customfilter2>
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            <job:repfirstname><![CDATA[Emily]]></job:repfirstname>
            <job:replastname><![CDATA[Lanzkron]]></job:replastname>
            <job:repemail><![CDATA[recruiting@tpgnyc.com]]></job:repemail>
            <job:featured>1</job:featured>
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        <item>
            <title><![CDATA[Senior Quantitative Analyst]]></title>
            <link><![CDATA[https://jobs.tpgnyc.com/jb/Senior-Quantitative-Analyst-Jobs-in-New-York-New-York/13661141]]></link>
            <description><![CDATA[<br>What You'll Bring:<br> 

<ul>
&#9;<li>Outstanding academic background, including a technical degree from a top-tier university
&#9;<li>Proven success in developing quantitative models, particularly in transaction cost analysis and high-frequency trading
&#9;<li>Strong proficiency with numerical and statistical tools such as Python, R, MATLAB, or similar
&#9;<li>Exceptional analytical and problem-solving skills paired with clear, effective communication
&#9;<li>Hands-on experience collaborating within fast-paced, intellectually rigorous environments
</ul>

<br>Nice to Have Skills:<br> 

<ul>
&#9;<li>Experience with machine learning techniques and artificial intelligence applications in trading
&#9;<li>Knowledge of financial markets, instruments, and trading infrastructure
&#9;<li>Familiarity with cloud-based data processing and storage solutions
&#9;<li>Programming expertise in C++, SQL, or other relevant languages
</ul>

<br>Preferred Education and Experience:<br> 

<ul>
&#9;<li>Advanced degrees (Masterâs or Ph.D.) in Mathematics, Statistics, Physics, Computer Science, or related fields
&#9;<li>5+ years of experience in quantitative research, proprietary trading firms, hedge funds, or investment banks
</ul>

<br>Additional Requirements:<br> 

<ul>
&#9;<li>Willingness to work in New York City
&#9;<li>Prior experience working in regulated or compliance-sensitive environments
&#9;<li>Passion for innovation and continuous learning
</ul>
<em>The Phoenix Group Advisors is an equal opportunity employer. We are committed to creating a diverse and inclusive workplace and prohibit discrimination and harassment of any kind based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We strive to attract talented individuals from all backgrounds and provide equal employment opportunities to all employees and applicants for employment. </em>]]></description>
            <guid isPermaLink="false"><![CDATA[https://jobs.tpgnyc.com/jb/Senior-Quantitative-Analyst-Jobs-in-New-York-New-York/13661141]]></guid>
            <pubDate>Thu, 22 Jan 2026 00:00:00 EST</pubDate>
            <job:referencenumber><![CDATA[13661141]]></job:referencenumber>
            <job:city><![CDATA[New York]]></job:city>
            <job:state><![CDATA[NY]]></job:state>
            <job:country><![CDATA[US]]></job:country>
            <job:postalcode><![CDATA[10036]]></job:postalcode>
            <job:jobtype><![CDATA[Direct Hire]]></job:jobtype>
            <job:category><![CDATA[Quant Analyst]]></job:category>
            <job:payrate><![CDATA[$350,000 - $500,000]]></job:payrate>
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            <job:replastname><![CDATA[Lanzkron]]></job:replastname>
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