Capital Markets

Capital Markets Data Jobs

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Today

Senior SQL Server/Python Data Engineer – Capital Markets

Experis Charlotte, NC

Charlotte, NC

Today

$80 - $85/hr Contract Python Senior Capital Markets

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Job Description

Experis is seeking a Senior SQL Server/Python Data Engineer (contract) to support Data Modernization and Investment Banking Technology teams. This onsite role in Charlotte focuses on enhancing risk and capital management products, with opportunities to collaborate in an Agile environment and work with a modern data stack. The engagement may extend up to 24 months, offering continuity on high-impact initiatives and competitive pay in the $80–85/hr range.

What you’ll do

Review and interpret Data Modernization strategies across multiple disciplines to shape innovative data solutions for risk and capital management needs.
Help formalize business requirements and translate them into detailed technical specifications that align with the current technology stack.
Participate in Agile workstreams and use Jira to support smooth, trackable execution of project deliverables.
Build scalable capacity from an Agile perspective by optimizing workflows and processes.
Develop and support risk management products, focusing on improved usability and integration within the existing stack.

What you bring

Expert-level SQL Server skills, including strong knowledge of relational databases and data modeling.
Proficiency in Python and hands-on experience with data engineering libraries such as Pandas, Polar, and Torch.
Experience building distributed applications and working with micro-service architectures.
Familiarity with DevOps tooling, including Git, Jenkins, and automation deployment toolkits.
Hands-on experience developing RESTful APIs in an Agile development environment.

Technology stack

SQL Server, Python, Pandas, Polar, Torch, micro-service architectures, Git, Jenkins, RESTful APIs, Jira

Benefits and working model

Work on impactful capital markets and risk management projects.
Collaborative environment that supports innovation and continuous learning.
Exposure to cutting-edge technologies including GenAI and Agentic AI (desired but not mandatory).
Potential contract extension up to 24 months for stability and growth.
Competitive pay rate aligned with industry standards.

Location: Charlotte, NC (Uptown) with in-office presence required three days per week.

Pay range: $80–85/hr.

Job type: Contract.

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3mo ago

Principal Data Analyst (Capital Markets)

Experis Jersey City, NJ

Jersey City, NJ

3mo ago Closed

$69 - $69/hr Full time Senior Analyst Analytics

This position is no longer accepting applications (closed Jul 18, 2026).

Job Description

Experis invites experienced data professionals to join a pivotal Capital Markets initiative. This on-site role in Jersey City, NJ offers the chance to influence ECMT regulatory programs and a technology transformation within Corporate Treasury. As a Principal Data Analyst, you will focus on data analysis and data management for Basel IV and FRTB, while collaborating across teams to drive impactful regulatory outcomes. This position combines hands-on analytics with a major modernization effort and cross-functional impact in a global organization.

Benefits

Transformative greenfield project with critical regulatory impact.
Work with state-of-the-art data and analytics technologies.
Collaborative environment that supports professional growth and development.
Competitive pay rate aligned with your expertise and experience.
Opportunity to contribute to a major technological transformation within a global organization.

Responsibilities

Support the Capital Management function within Corporate Treasury by analyzing and interpreting complex data sets.
Participate in a major technology transformation journey, replacing legacy applications with modern solutions.
Ensure Basel IV and FRTB compliance through meticulous data management and analysis.
Collaborate with cross-functional teams to design and implement data ingestion, rules authoring, execution, and analytics capabilities.
Identify risks, issues, and opportunities for process improvements to enhance regulatory compliance and operational efficiency.

Requirements

BS or MS in Computer Science, Engineering, or a related quantitative discipline; MBA is advantageous.
10+ years of experience, including at least 3+ years as a data analyst in a delivery-focused, techno-functional role.
Proficiency in SQL programming, preferably with Oracle Exadata databases.
Programming experience with Python or Java/.Net; familiarity with Hadoop is a plus.
Deep understanding of Capital Markets, including Credit Risk, Market Risk, or Capital calculations, and related regulations (Basel, CRR, CRD IV).

Technologies

SQL
Oracle Exadata
Python
Java/.Net
Hadoop

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Capital Markets Data Jobs

Senior SQL Server/Python Data Engineer – Capital Markets

Principal Data Analyst (Capital Markets)

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