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Quant Python Remote Jobs in Arlington, TX (NOW HIRING)

Technical Proficiencies: 7+ years of advanced coding skills in Python , SQL, and Java/Scala ... While many positions offer remote or hybrid work options, these arrangements are subject to change ...

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How much do quant python remote jobs pay per hour?

As of Jul 9, 2026, the average hourly pay for quant python remote in Arlington, TX is $52.76, according to ZipRecruiter salary data. Most workers in this role earn between $43.46 and $59.90 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Quant Python Remote professional, and why are they important?

To thrive as a Quant Python Remote professional, you need a strong background in quantitative analysis, mathematics, and expertise in Python programming, often supported by a degree in a quantitative field. Familiarity with libraries like NumPy, pandas, and scikit-learn, as well as experience with version control systems and cloud-based collaboration tools, is typically required. Strong problem-solving abilities, attention to detail, and effective remote communication skills help distinguish top performers in this role. These competencies are crucial for developing robust quantitative models, collaborating efficiently across distributed teams, and driving data-driven decision-making in finance or related sectors.

What is a Quant Python Remote job?

A Quant Python Remote job involves working as a quantitative analyst or developer, focusing on financial modeling, data analysis, and algorithmic trading using Python, all while working remotely. Professionals in this role use Python to develop quantitative strategies, analyze financial data, and create tools for risk management or trading. These jobs are popular in hedge funds, investment banks, and fintech companies seeking experts who can work from anywhere. Strong programming skills, knowledge of statistics, and experience in finance are typically required.

What is the difference between Quant Python Remote vs Quantitative Analyst?

AspectQuant Python RemoteQuantitative Analyst
Required CredentialsDegree in Math, Stats, or CS; Python proficiency; sometimes certificationsDegree in Finance, Math, or Economics; strong programming skills; certifications like CFA are common
Work EnvironmentRemote, flexible hours, often self-directedTypically office-based, but increasingly remote; collaborative teams
Employer & IndustryFinancial firms, hedge funds, fintech companiesInvestment banks, asset management firms, hedge funds
Search & Comparison IntentLooking for remote Python-based quant rolesSeeking quantitative analysis roles in finance

While both roles involve quantitative skills and finance knowledge, Quant Python Remote emphasizes remote work and Python programming, whereas Quantitative Analyst roles may be more traditional and office-based, often requiring finance-specific certifications. Candidates should consider their preferred work environment and skill set when choosing between these roles.

What are some typical challenges faced by Quant Python professionals working remotely, and how can they be addressed?

Quant Python professionals working remotely often encounter challenges such as collaborating effectively with team members across different time zones, maintaining clear communication on complex quantitative models, and ensuring secure access to sensitive financial data. To address these issues, it's important to utilize robust collaboration tools (like Slack or Zoom), establish regular check-ins with teammates, and follow best practices for code documentation and version control. Additionally, many employers provide secure VPNs and cloud-based platforms to facilitate safe data access, helping remote quants stay productive and connected.
What are popular job titles related to Quant Python Remote jobs in Arlington, TX? For Quant Python Remote jobs in Arlington, TX, the most frequently searched job titles are:
What job categories do people searching Quant Python Remote jobs in Arlington, TX look for? The top searched job categories for Quant Python Remote jobs in Arlington, TX are:
What cities near Arlington, TX are hiring for Quant Python Remote jobs? Cities near Arlington, TX with the most Quant Python Remote job openings:
AI Engr (Commercial & MTO)

AI Engr (Commercial & MTO)

NTT DATA Services

Dallas, TX • On-site, Remote

Other

Posted 26 days ago


NTT Data rating

7.3

Company rating: 7.3 out of 10

Based on 90 frontline employees who took The Breakroom Quiz

111th of 208 rated it services


Job description

Req ID: 375679 

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a AI Engr (Commercial & MTO) to join our team in Dallas, Texas (US-TX), United States (US).

Job Title: AI Engineer (Commercial & MTO)

Experience level: 10 + years
Job Summary
AI Engineer (Commercial & MTO) responsible to build production-ready artificial intelligence and machine learning solutions to drive business growth. This role bridges software engineering, data science, and commercial strategy, typically managing the deployment of models into operational pipelines for revenue generation, market analysis, and supply chain logistics.

Core Responsibilities

  • Commercial AI Strategy: Collaborate with business leaders and product managers to map organizational challenges to high-impact AI/ML use cases.
  • Model Deployment & API Integration: Transform trained machine learning models into robust, scalable, production-ready APIs that integrate seamlessly with enterprise systems.
  • Workflow Automation (MTO): Build multi-agent AI systems, workflows, and Retrieval-Augmented Generation (RAG) architectures to optimize Make-To-Order (MTO) production pipelines and e-commerce supply chains.
  • Data Pipelines & Ingestion: Develop and manage infrastructure to collect, clean, and transform unstructured data for AI model consumption.
  • Performance Monitoring: Maintain and continuously optimize deployed models for accuracy, reliability, and cost-efficiency in live production environments.

Key Requirements

  • Technical Proficiencies: 7+ years of advanced coding skills in Python, SQL, and Java/Scala. Proficiency in ML frameworks like PyTorch or TensorFlow, and frameworks for building workflows like LangChain.
  • Cloud & MLOps: 5+ years of experience deploying models using cloud platforms such as AWS, Azure, or Google Cloud (GCP), along with CI/CD pipelines.
  • Business Acumen: 5+ years of ability to explain complex AI outputs to C-suite executives and non-technical stakeholders to influence commercial decision-making.
  • Education: Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a closely related quantitative field.

Common Expectation from all the roles:

Compliance with Client's responsible AI principles and Acceptable Use policy

  • Adherence to data residency, privacy (GDPR, HIPAA where applicable), and 21 CFR Part 11 controls where in scope
  • Third-party risk assessment and SOC 2 Type II (or equivalent) certification
  • Disclosure of subcontractors and offshore delivery locations
  • Disclosure of model providers, training data practices, and any use of client data for model improvement (opt-out required)

#LI-NorthAmerica

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.

NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.


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About NTT DATA

Sourced by ZipRecruiter

NTT DATA Services is a global business and IT services provider specializing in digital, cloud and automation across a comprehensive portfolio of consulting, applications, infrastructure and business process services. We are part of the NTT family of companies, a partner to 85 % of the Fortune 100.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Plano, TX, US

Year founded

1967