{"hiringOrganization":{"logo":"https:\/\/careers.societegenerale.com\/themes\/custom\/sg_careers\/images\/LOGO_Groupe_EN.jpg","@type":"Organization","name":"Societe Generale","sameAs":"https:\/\/careers.societegenerale.com"},"employmentType":"Permanent contract","validThrough":"2025\/12\/01","datePosted":"2025\/12\/01","title":"Regulatory Reporting Data Engineer - IT (Information Technology) - New York, New York, United States","@context":"http:\/\/schema.org\/","@type":"JobPosting","description":"Responsibilities

We are seeking a New York<\/strong> based Data Engineer<\/strong> to join our Regulatory Technology and Control group<\/strong>.<\/p>

This is a key role for Bernstein that involves working with high-volume trading data to improve the accuracy, timeliness, and completeness of the firm\u2019s regulatory reporting and trade recordkeeping.\u00a0 We are looking for a data expert who is passionate about technology and eager to learn more about financial services and our Equity broker dealer business.<\/p>

The Data Engineer will be responsible for receiving and transforming high-volume Equity trading data for onward reporting to the firm\u2019s regulators and business users.\u00a0 Trading data is ingested to Microsoft Azure Synapse, transformed using Apache Spark, and written to Delta Lake tables on Azure.\u00a0 The successful candidate will help to migrate legacy SQL Server tables and T-SQL stored procedures to our future-state Microsoft Azure data platform.<\/p>

The Data Engineer will propose and implement improvements to the firm\u2019s regulatory reporting implementation and will work with regulatory control and compliance to understand reporting requirements and deliver enhancements.\u00a0 The Data Engineer\u2019s goal is to ensure that accurate, timely and complete data is supplied to regulators and business users in a format that they can use and understand.<\/p>

The Data Engineer will work closely with Equity trading and trade support to understand trading scenarios and validate that Consolidated Audit Trail (CAT) Reporting accurately reflects the firm\u2019s Equity trading activity.\u00a0 The successful candidate will promote innovative data analysis techniques and will gain knowledge in cash & electronic trading scenarios, trading technology, data analysis, design, and regulatory compliance.<\/p>

<\/strong><\/b><\/p>

The key job r<\/strong>esponsibilities include, but are not limited to:<\/strong><\/b><\/p>

• Enhance and maintain the Microsoft Azure Synapse and Spark data pipelines that generate Bernstein\u2019s CAT reporting and populate Bernstein\u2019s trading records.
  Migrate legacy SQL Server tables and T-SQL stored procedures to Microsoft Azure Synapse, PySpark, and Delta Lake<\/li>
• Understand Equity trading scenarios and how these are represented in the data models of Bernstein trading systems.<\/li>
• Understand how CAT Reporting applies to Bernstein\u2019s Equity trading business<\/li>
• Identify and troubleshoot data issues by analyzing high-volume datasets in innovative ways, e.g. by using data analytics tools such as Python, Azure Synapse, and PowerBI<\/li>
• Design and implement transactional and reference data reconciliations to maintain data quality.<\/li>
• Support critical regulatory reporting processes in production<\/li>
• Work closely with business users to create dashboards and reports that improve risk management and enable better business decisions<\/li>
• Hybrid role with a minimum of 3 days in the office
  
  <\/li><\/ul>

  The role provides in-depth learning on how to work with high-volume financial services data and would offer a motivated technologist the opportunity to champion the use of new technology within a large financial services organization.\u00a0 The Data Engineer will be trained in Equity trading scenarios and CAT Reporting, areas that are in high demand within the financial services industry.<\/p>

  The role provides the following opportunities for learning and professional growth:<\/strong><\/b><\/p>

  • Gain in-depth financial services knowledge, including Equity trading scenarios<\/li>
  • Learn the data model and business processes of a major brokerage firm<\/li>
  • Gain experience in PySpark data analysis and Azure cloud-based technologies such as Azure Synapse, Spark, Delta Lake, and PowerBI<\/li>
  • Become an expert in CAT Reporting<\/li><\/ul>Profile required

    We are seeking a motivated data engineer who is passionate about improving business outcomes through use of the latest data technologies.\u00a0 The candidate should have experience working with high-volume data using Microsoft Azure, Spark, Delta Lake, or equivalent cloud-based technologies.<\/p>

    Code quality is important at Bernstein, and the candidate should demonstrate the ability to write efficient, readable, and maintainable code in a language such as Python, C++, Java, C, or C#.\u00a0 Candidates should have good knowledge of common development practices such as version control, automated testing, continuous integration, and automated deployment.<\/p>

    Experience working with Microsoft SQL Server and T-SQL is preferred, and existing knowledge of Equity Cash trading scenarios and CAT Reporting would be beneficial.<\/p>

    The successful candidate will collaborate closely with other developers and data analysts and should be comfortable communicating with colleagues.\u00a0 We are looking for a candidate who is excited by technology and can share their enthusiasm with other team members to improve the adoption of new tools.<\/p>

    <\/strong><\/b><\/p>

    Basic Qualifications:<\/strong><\/b><\/p>

    • 4+ years of experience transforming and analyzing high-volume datasets using Azure Synapse, Spark, or equivalent cloud-based technologies.<\/li>
    • 4+ years of development experience with one or more modern programming languages such as Python, C++, Java, C, or C#.<\/li>
    • Experience using GitHub or an equivalent developer platform for version control, continuous integration, and automated deployment.<\/li>
    • Strong inter-personal communication skills and the ability to collaborate effectively with colleagues.<\/li><\/ul>
      

      Preferred Qualifications:<\/strong><\/b><\/p>

      • Bachelors or Masters degree in a STEM (Science, Technology, Engineering or Math) field.<\/li>
      • 2+ years of experience working with Microsoft SQL Server, T-SQL, SSIS, or equivalent technologies.<\/li>
      • Experience building applications using Azure Cloud and \/ or Kubernetes.<\/li>
      • Knowledge of Equity Cash trading scenarios and \/ or experience generating CAT Reports.<\/li><\/ul>Why join usBusiness insight

        Bernstein is widely recognized as a premier global equity research and brokerage firm, with a trading platform that spans the US, Europe, and Asia. Our research and trading capabilities are sought out by leading investment managers around the world, and we have a long history of our research receiving #1 rankings for overall quality and industry knowledge.<\/p>

        Research is our legacy and foundation. Our brand is defined by our Blackbooks, renowned for their in-depth quantitative forecasts and unmatched industry expertise. Our Research Analysts are thought leaders who typically have many years of direct experience in the industries they cover. Our reputation is for the very highest caliber of disciplined investment and industry analysis.<\/p>

        In 2019 Bernstein acquired Autonomous Research, a highly regarded global financial services independent research firm. This acquisition further strengthened us as the preeminent provider of the highest-quality research to our clients worldwide.<\/p>

        On April 1, 2024, AllianceBernstein and Societe Generale announced the official launch of Bernstein, a new joint venture expanding our global cash equities and equity research business. Clients now have unparalleled equity liquidity access and a full range of integrated services, leveraging Bernstein\u2019s cash equities and research capabilities and Societe Generale\u2019s\u202fequity derivatives, prime services and equity capital markets offering.<\/p>","identifier":{"@type":"PropertyValue","name":"Recruitment Societe Generale","value":"25000LBH"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York","addressCountry":"United States"}}} window.dataLayer = window.dataLayer || []; var aData = { customVarPage1: "Regulatory Reporting Data Engineer", customVarPage2: "New York", customVarPage3: "Permanent contract", customVarPage4: "25000LBH", customVarPage5: "Bernstein", customVarPage6: "IT (Information Technology)", customVarPage7: "2025/12/01" } window.dataLayer.push(aData);

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        Regulatory Reporting Data Engineer

        IT (Information Technology)

        

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        Add to favorites

        Permanent contract

        New York, New York, United States

        Hybrid

        Salary from $100,000 to $150,000

        Reference 25000LBH

        Start date Immediately

        Publication date 2025/12/01

        Responsibilities

        We are seeking a New York based Data Engineer to join our Regulatory Technology and Control group.

        This is a key role for Bernstein that involves working with high-volume trading data to improve the accuracy, timeliness, and completeness of the firm’s regulatory reporting and trade recordkeeping.  We are looking for a data expert who is passionate about technology and eager to learn more about financial services and our Equity broker dealer business.

        The Data Engineer will be responsible for receiving and transforming high-volume Equity trading data for onward reporting to the firm’s regulators and business users.  Trading data is ingested to Microsoft Azure Synapse, transformed using Apache Spark, and written to Delta Lake tables on Azure.  The successful candidate will help to migrate legacy SQL Server tables and T-SQL stored procedures to our future-state Microsoft Azure data platform.

        The Data Engineer will propose and implement improvements to the firm’s regulatory reporting implementation and will work with regulatory control and compliance to understand reporting requirements and deliver enhancements.  The Data Engineer’s goal is to ensure that accurate, timely and complete data is supplied to regulators and business users in a format that they can use and understand.

        The Data Engineer will work closely with Equity trading and trade support to understand trading scenarios and validate that Consolidated Audit Trail (CAT) Reporting accurately reflects the firm’s Equity trading activity.  The successful candidate will promote innovative data analysis techniques and will gain knowledge in cash & electronic trading scenarios, trading technology, data analysis, design, and regulatory compliance.

        The key job responsibilities include, but are not limited to:

        • Enhance and maintain the Microsoft Azure Synapse and Spark data pipelines that generate Bernstein’s CAT reporting and populate Bernstein’s trading records.
          Migrate legacy SQL Server tables and T-SQL stored procedures to Microsoft Azure Synapse, PySpark, and Delta Lake
        • Understand Equity trading scenarios and how these are represented in the data models of Bernstein trading systems.
        • Understand how CAT Reporting applies to Bernstein’s Equity trading business
        • Identify and troubleshoot data issues by analyzing high-volume datasets in innovative ways, e.g. by using data analytics tools such as Python, Azure Synapse, and PowerBI
        • Design and implement transactional and reference data reconciliations to maintain data quality.
        • Support critical regulatory reporting processes in production
        • Work closely with business users to create dashboards and reports that improve risk management and enable better business decisions
        • Hybrid role with a minimum of 3 days in the office
          
          

        The role provides in-depth learning on how to work with high-volume financial services data and would offer a motivated technologist the opportunity to champion the use of new technology within a large financial services organization.  The Data Engineer will be trained in Equity trading scenarios and CAT Reporting, areas that are in high demand within the financial services industry.

        The role provides the following opportunities for learning and professional growth:

        • Gain in-depth financial services knowledge, including Equity trading scenarios
        • Learn the data model and business processes of a major brokerage firm
        • Gain experience in PySpark data analysis and Azure cloud-based technologies such as Azure Synapse, Spark, Delta Lake, and PowerBI
        • Become an expert in CAT Reporting

        Profile required

        We are seeking a motivated data engineer who is passionate about improving business outcomes through use of the latest data technologies.  The candidate should have experience working with high-volume data using Microsoft Azure, Spark, Delta Lake, or equivalent cloud-based technologies.

        Code quality is important at Bernstein, and the candidate should demonstrate the ability to write efficient, readable, and maintainable code in a language such as Python, C++, Java, C, or C#.  Candidates should have good knowledge of common development practices such as version control, automated testing, continuous integration, and automated deployment.

        Experience working with Microsoft SQL Server and T-SQL is preferred, and existing knowledge of Equity Cash trading scenarios and CAT Reporting would be beneficial.

        The successful candidate will collaborate closely with other developers and data analysts and should be comfortable communicating with colleagues.  We are looking for a candidate who is excited by technology and can share their enthusiasm with other team members to improve the adoption of new tools.

        Basic Qualifications:

        • 4+ years of experience transforming and analyzing high-volume datasets using Azure Synapse, Spark, or equivalent cloud-based technologies.
        • 4+ years of development experience with one or more modern programming languages such as Python, C++, Java, C, or C#.
        • Experience using GitHub or an equivalent developer platform for version control, continuous integration, and automated deployment.
        • Strong inter-personal communication skills and the ability to collaborate effectively with colleagues.

        
        

        Preferred Qualifications:

        • Bachelors or Masters degree in a STEM (Science, Technology, Engineering or Math) field.
        • 2+ years of experience working with Microsoft SQL Server, T-SQL, SSIS, or equivalent technologies.
        • Experience building applications using Azure Cloud and / or Kubernetes.
        • Knowledge of Equity Cash trading scenarios and / or experience generating CAT Reports.

        Business insight

        Bernstein is widely recognized as a premier global equity research and brokerage firm, with a trading platform that spans the US, Europe, and Asia. Our research and trading capabilities are sought out by leading investment managers around the world, and we have a long history of our research receiving #1 rankings for overall quality and industry knowledge.

        Research is our legacy and foundation. Our brand is defined by our Blackbooks, renowned for their in-depth quantitative forecasts and unmatched industry expertise. Our Research Analysts are thought leaders who typically have many years of direct experience in the industries they cover. Our reputation is for the very highest caliber of disciplined investment and industry analysis.

        In 2019 Bernstein acquired Autonomous Research, a highly regarded global financial services independent research firm. This acquisition further strengthened us as the preeminent provider of the highest-quality research to our clients worldwide.

        On April 1, 2024, AllianceBernstein and Societe Generale announced the official launch of Bernstein, a new joint venture expanding our global cash equities and equity research business. Clients now have unparalleled equity liquidity access and a full range of integrated services, leveraging Bernstein’s cash equities and research capabilities and Societe Generale’s equity derivatives, prime services and equity capital markets offering.

        Diversity and Inclusion

        Societe Generale is an equal opportunity employer, and we are proud to make diversity a strength for our company. We are committed to recognizing and promoting the talents and achievements of our employees and staff, regardless of race, religion, color, national origin, sex, disability, age, gender, sexual orientation, and any other characteristic or status protected under applicable law.
        

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        Regulatory Reporting Data Engineer

        Permanent contract

        New York, New York, United States

        Hybrid

        Salary from $100,000 to $150,000

        Responsibilities Profile required Business insight Diversity and Inclusion

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