2503 Python Engineer Core Risk Platform jobs in Dallas,TX

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
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.

Remote Bilingual Social Media Agent (Overnight)

AFNI

Dallas, TX 75215

Jobot

Dallas, TX 75215

McKesson Careers

Irving, TX 75061

TEKsystems c/o Allegis Group

Dallas, TX 75215

USAA

Plano, TX 75023

4 years of related work experience in model validation, model development, statistical analysis, and/or advanced quantitative research; OR advanced degree (e.g., Master's, PhD) in a quantitative field, such as Economics, Mathematics, Statistics, Actuarial Science, Data Science, Engineering, Computer Science, or Related Field with Core Quantitative Curriculum and 2 years of related work experience in model validation, model development, statistical analysis, and/or advanced quantitative research.
Experience communicating verbally and in-writing quantitative/technical concepts and conclusions to non-technical audiences and senior leadership.
Proficient programming skills in R, Python, SAS, Java, C, SQL, and/or other comparable programming languages for the iterative methodological tenants of model and algorithm development including setting model specifications, assumption testing, data quality assessments, variable selection, back-testing, benchmarking, and other robust model testing.
Working Experience with statistical, econometric, data science, or predictive modeling approaches including Linear Regression; Time-Series/Forecasting; Logistic Regression; Machine Learning. Business context knowledge in operational and support functions of Banking and/or Insurance as well as associated modeling and analytics knowledge.