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Etl Python Developer In Credit Risk

Dallas,TX

1366 Etl Python Developer In Credit Risk jobs in Dallas,TX

New, Posted 1 day ago
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VP of System Transformation

Confidential

Dallas, TX 75201

Paid Relocation to Dallas, TX

RemoteUrgently Hiring

  • 10-15+ years of ERP experience with a strong emphasis on Finance and Supply Chain
  • Proven leadership in high-budget ERP implementations
  • Experience leading a multi-year ERP transformation program
  • Expertise in Oracle Fusion, SAP S/4HANA, and/or MS Dynamics is preferred
  • Leadership responsibilities including managing cross-functional teams, vendor relationships, and change management initiatives
  • Stewardship of the entire ERP strategy
  • Defining the future ERP vision
  • Re-engineering processes in order-to-cash, accounting, treasury, procurement, and supply chain
  • Employing technologies such as AI, RPA, and analytics
  • Managing hands-on configuration, integration, and testing
  • Establishing best practices in resilience and risk mitigation
SmartExplore AI is experimental.
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New, Posted 13 hours ago
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Principal Engineer - Python API Development

Fidelity Investments

Irving, TX 75061

~ 22 min OnsiteUrgently HiringEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's or Master's degree in Computer Science, Software Engineering, or a closely related engineering discipline
  • 8+ years (typically 10+) building and operating production platforms and services at scale
  • Deep software engineering expertise in Python and distributed systems
  • A track record of building production‑grade services, libraries, and internal platforms
  • Linux fluency and scripting are required
  • Cloud platform leadership (AWS) —hands-on with S3, Lambda, Batch, Step Functions, EventBridge, CloudWatch, and SNS/SQS—and experience shaping platform patterns that other teams adopt
  • Experience enabling managed ML services (e.g., SageMaker) as part of broader platform capabilities; exposure to Azure or GCP is beneficial
  • DevOps and CI/CD at scale, owning standards for automated build/test/deploy (e.g., Jenkins, Git‑based workflows), containerization (Docker), release governance, and multi‑environment promotion for ML‑enabled workloads
  • Infrastructure as Code (CloudFormation, Terraform/OpenTofu) and platform reliability engineering (SLOs/error budgets, capacity planning, cost observability, incident response, and post‑mortems) for ML serving and data/feature pipelines
  • ML enablement in production: model packaging, deployment strategies (batch/online/streaming), inference routing, traffic management, performance tuning, observability, and controls for responsible use—without a research or modeling focus
  • Cross‑org technical leadership: you mentor junior and senior engineers, are a backbone of code review across repos, and routinely consider impacts on upstream/downstream systems when proposing changes
  • Set platform strategy and standards for ML packaging, deployment, serving, and observability—driving consistent adoption across squads and business units
  • Partner with Data Scientists to package, scale, and operationalize models; define the APIs, guardrails, and automation that take work from experimentation to reliable production
  • Enable secure, scalable access to traditional and generative models by collaborating with platform and application engineers to integrate through enterprise gateways and services
  • Advance model/data observability—tooling for data and feature drift detection, prediction‑quality monitoring and uncertainty signals, and automated diagnostics/ explainability
  • Lead cross‑platform incident response and post‑mortems, drive systemic fixes, and evolve standards to prevent recurrence—across applications and the platform
  • Uplevel engineering velocity by introducing reusable frameworks, paved paths, and CI/CD templates that simplify integration, reduce toil, and improve reliability at scale
  • Reduce cost and complexity across the ML ecosystem through pragmatic technology choices, clear abstractions, and a long‑term platform roadmap
  • The base salary range for this position is $107,000-216,000 USD per year.
  • Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.
SmartExplore AI is experimental.
View now
New, Posted 1 day ago
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IT Architect II-IM Application Development

CHRISTUS Health

Irving, TX 75039

~ 22 min OnsiteUrgently Hiring

  • Bachelor's degree in Computer Science, Architecture, Information Systems, Electrical Engineering or related field preferred, or four years of relevant experience required.
  • Five years of increasingly responsible Enterprise architecture experience in Healthcare Hospital systems environments with a wide variety of Information Services applications and technologies is required.
  • Extensive technical knowledge of Healthcare Hospital systems, databases, networks, operating systems and Information Management “Best Practices”, including: local and wide area networking, network protocols and routing; network, server, and host operating systems; Interoperability, data storage and retrieval systems; system backup and recovery; IP networking, internet and intranet technologies; email, groupware, office automation and collaboration technologies; voice and/or data communications; voice and/or data networking; video conferencing and telemedicine; server hardware, software, and administration.
  • Security model understanding and maintenance
  • Solid understanding of Business Intelligence/Data Warehouse environment with involvement in design and development of database solution in both traditional as well as columnar databases.
  • Experience in data integration with ETL techniques and frameworks
  • Experience in Big Data querying tools, such as Hive, Impala and Spark SQL
SmartExplore AI is experimental.
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New, Posted 1 day ago
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DIRECTOR, FINANCE SYSTEMS & TRANSFORMATION

Confidential

Dallas, TX 75201

Paid Relocation to Dallas, TX

RemoteUrgently Hiring

  • Expertise in accounting, tax, and financial controls
  • Experience in major ERP platforms like SAP or Microsoft Dynamics
  • Strong executive communication skills and the ability to lead stakeholder relations
SmartExplore AI is experimental.
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New, Posted 1 day ago
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Associate, Model Development (Hybrid Position)

Santander Holdings USA

Dallas, TX 75201

HybridUrgently Hiring

  • Bachelor's Degree: in related field or equivalent demonstrated through a combination of work experience, training, military service, or education - Required
  • 5+ Years Analytics in Financial Services Industry. - Required.
  • 5+ Years Indirect subprime Auto Financial Services Industry experience. - Preferred.
  • 5+ Years Prior experience developing credit scoring models preferred. - Preferred.
  • Demonstrated experience with logistic regression models, segmentation and variable reduction techniques, hypothesis testing, neural networks, design of experiments, ANOVA, decision trees, and linear regression.
  • Prior experience working with credit bureau data.
  • Prior experience using SAS, particularly SAS base, SAS/STAT, PROC SQL, and SAS Macro programming. Additional knowledge of R preferred.
  • Demonstrated ability to use SQL and SAS to extract data from multiple data sources.
  • Demonstrated ability to merge, concatenate, clean, and prepare extremely large datasets for statistical analysis and mathematical model development.
  • Demonstrated ability to create complex pivot tables in MS Excel.
  • Ability to effectively explain advanced mathematical concepts, techniques, and analyses to a business audience.
  • Ability to translate analysis into a clear business plan.
  • Strong written and verbal communication skills.
  • Ability to delegate and co-ordinate multiple tasks related to the development and monitoring of statistical models.
  • Ability to maintain confidentiality..
SmartExplore AI is experimental.
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New, Posted 1 day ago
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Actuarial Analyst II (Intermediate) – Forecasting Analytics

USAA

Plano, TX 75023

Paid Relocation to Plano, TX

RemoteUrgently HiringFlexible ScheduleHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's degree
  • 2 years of actuarial or analytical business experience
  • 3 Casualty Actuarial Society (CAS) exams
  • Intermediate knowledge of data analysis tools, data visualization, developing analysis queries and procedures in Python, R, SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect technical insights to business problems
SmartExplore AI is experimental.
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New, Posted 13 hours ago
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Principal Engineer - Python API Development

Fidelity Investments

Bedford, TX 76022

~ 32 min OnsiteUrgently HiringEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's or Master's degree in Computer Science, Software Engineering, or a closely related engineering discipline
  • 8+ years (typically 10+) building and operating production platforms and services at scale
  • Deep software engineering expertise in Python and distributed systems
  • A track record of building production‑grade services, libraries, and internal platforms
  • Linux fluency and scripting are required
  • Cloud platform leadership (AWS) —hands-on with S3, Lambda, Batch, Step Functions, EventBridge, CloudWatch, and SNS/SQS—and experience shaping platform patterns that other teams adopt
  • Experience enabling managed ML services (e.g., SageMaker) as part of broader platform capabilities; exposure to Azure or GCP is beneficial
  • DevOps and CI/CD at scale, owning standards for automated build/test/deploy (e.g., Jenkins, Git‑based workflows), containerization (Docker), release governance, and multi‑environment promotion for ML‑enabled workloads
  • Infrastructure as Code (CloudFormation, Terraform/OpenTofu) and platform reliability engineering (SLOs/error budgets, capacity planning, cost observability, incident response, and post‑mortems) for ML serving and data/feature pipelines
  • ML enablement in production: model packaging, deployment strategies (batch/online/streaming), inference routing, traffic management, performance tuning, observability, and controls for responsible use—without a research or modeling focus
  • Cross‑org technical leadership: you mentor junior and senior engineers, are a backbone of code review across repos, and routinely consider impacts on upstream/downstream systems when proposing changes
  • Set platform strategy and standards for ML packaging, deployment, serving, and observability—driving consistent adoption across squads and business units
  • Partner with Data Scientists to package, scale, and operationalize models; define the APIs, guardrails, and automation that take work from experimentation to reliable production
  • Enable secure, scalable access to traditional and generative models by collaborating with platform and application engineers to integrate through enterprise gateways and services
  • Advance model/data observability—tooling for data and feature drift detection, prediction‑quality monitoring and uncertainty signals, and automated diagnostics/ explainability
  • Lead cross‑platform incident response and post‑mortems, drive systemic fixes, and evolve standards to prevent recurrence—across applications and the platform
  • Uplevel engineering velocity by introducing reusable frameworks, paved paths, and CI/CD templates that simplify integration, reduce toil, and improve reliability at scale
  • Reduce cost and complexity across the ML ecosystem through pragmatic technology choices, clear abstractions, and a long‑term platform roadmap
  • The base salary range for this position is $107,000-216,000 USD per year.
  • Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.
SmartExplore AI is experimental.
View now
New, Posted 14 hours ago
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Manager, Credit Strategy for Auto Finance Analytics

OneMain Financial

Irving, TX 75062

Hybrid~ 22 minFlexible ScheduleEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's Degree (Graduate a plus) in a quantitative discipline, such as Engineering, Statistics, Economics, Data Analytics or Computer Science.
  • 2+ years of experience in a data driven analytics environment; consumer lending preferred; Master's or PHD degrees may offset experience. 4+ years required
  • Advanced analytical skillset using tools such as SQL, SAS, Excel skills required; experience with multiple types of relational databases and/or querying languages is a plus such as R, Hive Python, Oracle, Unix are desired
  • Innovative and capable of developing a highly analytical approach to solving problems
  • Experience driving projects and presenting to senior management on results and ideas
  • Capability and willingness to learn new areas within the OneMain business and take on diverse projects
SmartExplore AI is experimental.
View now
New, Posted 1 day ago
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Field Risk Specialist

Datascan Technologies, LLC

Dallas, TX 75217

New, Posted 23 hours ago
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Data Scientist/Sr Data Scientist, B2B Data

American Airlines

Fort Worth, TX 76101

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