1393 Quantitative Developer Analyst Python C jobs in Dallas,TX

Principal Engineer - Python API Development

Fidelity Investments

Irving, TX 75061

~ 22 min OnsiteEducation 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.

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.

New, Posted 12 hours ago

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Principal Engineer - Python API Development

Fidelity Investments

Bedford, TX 76022

~ 32 min OnsiteEducation 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.

New, Posted 22 hours ago

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Analyst/Sr Analyst, Revenue Management Development

American Airlines

Fort Worth, TX 76101

Bachelor's degree with significant coursework in a quantitative discipline (Economics, Mathematics, Engineering, Finance, Computer science, etc.) or equivalent experience/training
Hands‑on data experience working with large, complex datasets; strong SQL
Proficiency in Python or R for analysis, automation, and reproducibility

SmartExplore AI is experimental.

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.

New, Posted 1 day ago

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Actuarial Analyst I (Mid-Level)

USAA

Plano, TX 75023

RemoteUrgently HiringHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree; OR 4 years of related Actuarial/business/analytical experience (in addition to the minimum years of experience required) may be substituted in lieu of degree.
4 years of Actuarial or analytical business experience.
No more than 2 Casualty Actuarial Society (CAS) exams away from Associate of the Casualty Actuarial Society (ACAS) Credential and All Validation of Education Experience (VEEs) completed.
Demonstrated competency with relevant actuarial, mathematical, and statistical techniques and approaches used to support fact-based decision-making.
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 external insights to business problems.
Experience communicating complex solutions and analysis to both technical and nontechnical audiences.

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New, Posted 19 hours ago

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General Machinist C / CNC - GD&T / 2nd Shift / Grand Prairie, TX

Lockheed Martin

Grand Prairie, TX 75051

~ 28 min OnsiteFlexible SchedulePaid Time Off

High School degree or equivalent.
Six (6) months to two (2) years' experience or equivalent trades training.
Ability to operate CNC machines.
Ability to read and interpret drawings using GD&T; (geometric dimensioning and tolerancing).
Basic computer knowledge.
Must have the ability to work 1st or 2nd shift according to the collective bargaining agreement.

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New, Posted 19 hours ago

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Analyst/Sr Analyst, Revenue Management Development

American Airlines

Fort Worth, TX 76101

Bachelor's degree with significant coursework in a quantitative discipline (Economics, Mathematics, Engineering, Finance, Computer science, etc.) or equivalent experience/training
Hands‑on data experience working with large, complex datasets; strong SQL
Proficiency in Python or R for analysis, automation, and reproducibility

SmartExplore AI is experimental.

New, Posted 1 day ago

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Application System Analyst Lead - Cadence / Grand Central / Prelude

CHRISTUS Health

Irving, TX 75039

Urgently Hiring

New, Posted 19 hours ago

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Quality Assurance Analyst

Capco

Dallas, TX 75217

HybridUrgently HiringEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

2+ years of experience in Quality Assurance, Software Testing, or a related discipline.
Strong understanding of Software Development Life Cycle (SDLC), Software Testing Life Cycle (STLC), and defect management processes.
Experience developing test cases, executing test plans, managing defects, and supporting user acceptance testing activities.
Bachelor's degree or equivalent professional experience.

SmartExplore AI is experimental.