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

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Remote Risk Quant information

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$88.2K

$152.7K

$233.5K

How much do remote risk quant jobs pay per year?

As of Aug 8, 2026, the average yearly pay for remote risk quant in Arlington, TX is $152,746.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,000.00 and $179,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a remote risk quant, and why are they important?

To thrive as a Remote Risk Quant, you need strong quantitative analysis skills, a background in mathematics, statistics, or finance, and typically an advanced degree such as a master's or PhD. Proficiency in programming languages like Python, R, or MATLAB, and familiarity with risk management systems and financial modeling tools are crucial. Exceptional problem-solving, attention to detail, and effective remote communication skills set top candidates apart. These abilities are vital for accurately assessing financial risks, developing robust models, and collaborating efficiently within distributed teams.

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

AspectRemote Risk QuantRemote Quantitative Analyst
Required CredentialsAdvanced degrees in finance, mathematics, or statistics; certifications like CFA or FRM often preferredSimilar credentials; degrees in math, finance, or engineering; certifications like CFA common
Work EnvironmentFinancial institutions, hedge funds, or risk management firms; primarily analytical and model development rolesFinancial firms, investment banks, or asset management; focus on data analysis and model building
Employer & Industry UsageUsed in risk management, compliance, and regulatory roles within financeUsed in trading, investment analysis, and quantitative research within finance

While both roles require strong quantitative skills and similar educational backgrounds, Remote Risk Quants focus more on assessing and managing financial risks, whereas Remote Quantitative Analysts often concentrate on developing models for trading or investment strategies. The roles overlap but differ mainly in their primary focus within the financial industry.

What are some common challenges faced by remote risk quants and how can they be managed effectively?

Remote Risk Quants often encounter challenges such as limited access to real-time data streams, maintaining clear communication with on-site teams, and ensuring data security when working offsite. To manage these effectively, it's important to establish robust digital collaboration practices, utilize secure remote access tools, and maintain regular check-ins with stakeholders. Additionally, being proactive in seeking feedback and clarifications helps mitigate misunderstandings and keeps risk analysis aligned with organizational goals.

What is a remote risk quant?

Remote Risk Quants are quantitative analysts who work remotely to assess, measure, and manage financial risks for organizations. They use mathematical models, statistical techniques, and programming skills to analyze large datasets and forecast potential risks in investments, portfolios, or financial operations. By working remotely, they collaborate with teams using digital communication tools and often have flexible work arrangements. Their expertise is essential for financial institutions, hedge funds, and corporations to make data-driven risk management decisions.
What are popular job titles related to Remote Risk Quant jobs in Arlington, TX? For Remote Risk Quant jobs in Arlington, TX, the most frequently searched job titles are:
What job categories do people searching Remote Risk Quant jobs in Arlington, TX look for? The top searched job categories for Remote Risk Quant jobs in Arlington, TX are:
What cities near Arlington, TX are hiring for Remote Risk Quant jobs? Cities near Arlington, TX with the most Remote Risk Quant job openings:

AI Engr (Commercial & MTO)

NTT DATA Services

Dallas, TX • On-site, Remote

Other

Re-posted 25 days ago


NTT Data rating

7.4

Company rating: 7.4 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

117th of 223 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