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Global Banking & Markets -Dallas- Associate, Loan Management & Due Diligence - 10281019
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Mid level$32B raised
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Full-time
bachelor degree
Posted 15d ago
~40 hrs/week
Responsibilities
Design, develop, and maintain Python-based analytical applications and RESTful APIs to support internal audit workflows. Build responsive user interfaces using React and manage data models to enable data-driven decision-making.
Requirements
Requires a bachelor's degree in a technical discipline and 3-5 years of professional software engineering experience. Candidates must have strong hands-on skills in Python, SQL, React, and modern DevOps practices.
Full job description
What You'll Do
Design, develop, test, and maintain Python-based applications, services, and automation that power analytical and audit workflows.
Build and expose well-documented, secure RESTful APIs (Flask or similar frameworks) that serve data to internal applications and downstream consumers.
Develop responsive, intuitive user interfaces using React and JavaScript, translating business requirements and wireframes into production-grade components.
Design and refine data models- logical and physical- and write efficient SQL to support reporting, analytics, and application needs.
Manage source control, code reviews, and automated build/test/deploy workflows in GitLab, contributing to and improving CI/CD pipelines.
Package and deploy applications to containerized environments, working with the platform team to promote code across environments reliably and repeatably.
Champion engineering quality through unit tests, integration tests, and Test-Driven Development (TDD).
Partner closely with product owners, and audit stakeholders in a global, distributed Agile/Scrum setting to deliver iteratively.
Proactively identify opportunities to improve performance, reliability, maintainability, and developer experience.
Required Qualifications
Education: Bachelor's degree (or higher) in Computer Science, Engineering, or a related technical discipline.
Overall Experience: 3–5 years of professional software engineer experience.
Python: 3-5 years of strong, hands-on Python development experience building production applications and exposure to data analytics tooling (pandas, NumPy).
Front-End: 1-2 years of hands-on experience building UIs with React and modern JavaScript.
SQL & Data Modelling: Solid SQL skills and a good understanding of data modelling concepts- normalization, relational/dimensional design, schema evolution, and query performance.
Version Control & DevOps: Hands-on experience with GitLab and strong grasp of core Git concepts (branching strategies, merge requests, rebasing, conflict resolution) plus practical exposure to CI/CD pipelines.
Testing: Demonstrated experience implementing unit tests, integration tests, and applying Test-Driven Development.
Ways of Working: Proven track record operating in a fast-paced Agile/Scrum setup with a global/remote team.
Working knowledge of deploying code to a Kubernetes cluster- building container images, writing/maintaining deployment manifests or Helm charts, and troubleshooting pods, services, and rollouts.
Experience with containerization using Docker and automating deployments through CI/CD pipelines.
Familiarity with API design best practices- versioning, authentication/authorization, pagination, error handling, and OpenAPI/Swagger documentation.
Understanding of cloud platforms such as Snowflake.
Prior experience in financial services, risk, or Internal Audit domains.
We aspire to be the world’s most exceptional financial institution, united by our shared values of partnership, client service, integrity, and excellence.
Operating at the center of capital markets, we act as one firm, mobilizing our people, capital, and ideas to deliver superior results across our clients’ most complex challenges.
For 157 years, Goldman Sachs has delivered world-class execution on a global scale across our leading Global Banking & Markets and Asset & Wealth Management businesses.
Apprenticeship is central to our culture, with hands-on coaching and access to leaders who bring decades of experience and expertise. With office locations around the world, we offer a broad range of career opportunities to those who insist on excellence and thrive on performance.
Find our Social Media Disclosures here: gs.com/social-media-disclosures
Offices: 200 West Street, New York, New York 10282, US
How much do Data & Analytics jobs in Dallas, TX pay?
Based on 626 listings with disclosed salaries, most data & analytics jobs in Dallas, TX pay between $65k–$185k per year. Individual offers vary with seniority, company size, and specialization.
How many Data & Analytics jobs are open in Dallas, TX right now?
There are currently 1,473 open data & analytics positions in Dallas, TX listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Data & Analytics roles in Dallas, TX?
Companies currently hiring include Goldman Sachs, Capgemini, University of Texas Southwestern Medical Center, Dallas County, Texas Instruments, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Data & Analytics jobs in Dallas, TX?
Yes — 591 of the 1473 open data & analytics positions offer remote or hybrid work (194 remote, 397 hybrid).
How do I apply for Data & Analytics jobs in Dallas, TX?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.