Senior Quantitative Risk Analyst focused on stress testing, scenario design, and model development within financial services risk management.
Locations (3)
San Antonio, Texas, United States
Colorado Springs, Colorado, United States
Plano, Texas, United States
Compensation
Compensation range: The salary range for this position is: $114,080 - $218,030.
Responsibilities
Utilizes advanced analytics to assess future risk, opportunities, and effectiveness and translates results into meaningful solutions to enhance decision making.
Applies advanced knowledge and industry best practices to quantify risk and aggregate exposures.
Engages in model validation and produces model validation reports.
Applies innovative and scientific/quantitative analytical approaches to draw conclusions and make recommendations to answer business objectives and drive change.
Translates recommendations into communication materials to effectively present to colleagues for peer review and management.
Requirements
Bachelor's degree in Economics, Finance, Statistics, Mathematics, Engineering, Actuarial Sciences, or quantitative field; OR 4 years of relevant education and/or experience.
This Decision Science role is integral to optimizing underwriting strategies within the personal lines Property & Casualty business. The role focuses on applying advanced analytics and data-driven insights to answer critical business questions and support decision-making.
Locations (2)
San Antonio, Texas, United States
United States
Compensation
Compensation range: The salary range for this position is: $93,770 - $168,770.
Responsibilities
Leverages intermediate and some advanced business, analytical and technical knowledge to participate in discussions with cross functional teams to understand and collaborate on business objectives and influence solution strategies.
Applies advanced analytical techniques to solve business problems that are typically medium to large scale with impact to current and/or future business strategy.
Applies innovative and scientific/quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer the business objective and drive the appropriate change.
Design, build, administer and support enterprise systems and applications across global environments, providing technical leadership and hands‑on execution.
Compensation
The New York salary range for this role is $133,600 - 200,400
Responsibilities
Design, build, administer and optimize Windows Server environments
Design, build, administer and optimize Linux environments
Manage and support database platforms including SQL Server, MongoDB and PostgreSQL
Own application deployment and lifecycle management for enterprise applications
Implement and maintain CI/CD pipelines using Azure DevOps
Requirements
Bachelor’s degree in Computer Science, Information Technology or related field
Design and develop SOC drivers, firmware, BIOS, and CI/CD systems for NVIDIA’s GPU and SOC products.
Compensation
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 224,000 USD – 356,500 USD.
Responsibilities
Developing and triaging platform drivers for SOCs
Building sophisticated automation triage tools and firmware and OS-driver issue packetizations
Supporting OS driver development, bring up and triaging of Platform and Multimedia drivers
Supporting the OEM ecosystem and providing innovative solutions
Driving Startup and Shutdown Time KPIs goal & optimizations
Requirements
BS or MS degree in Computer Engineering, Computer Science, or equivalent
Support delivery and accreditation of secure ground infrastructure, enable cross-domain data flows, and manage secure cloud and on-prem hybrid environments.
Lead analytics projects in business intelligence, financial performance, strategic growth, or Roaming product insights, turning complex data into trusted insights for leadership.
Compensation
Intern wages range from $27/hour to $50/hour. The successful candidate’s actual pay will be based on education/STEM vs non-STEM designation.
Responsibilities
Analyze and integrate data from multiple sources to build dashboards and visualizations that support consistent KPI definitions and trusted performance reporting.
Evaluate revenue, cost, profitability, and operational trends to support P&L driver analysis, forecast variance investigations, and business performance insights.
Research and assess growth opportunities, business cases, pricing decisions, and Roaming product and customer experience improvements.
Validate data, help improve reporting databases, and standardize processes to increase data quality, efficiency, and scalability.
Identify and pursue automation opportunities that reduce manual reporting effort.
Support the National Energy Research Scientific Computing Center (NERSC) at Lawrence Berkeley National Laboratory by maintaining a 24/7 mission‑critical HPC environment, focusing on monitoring, incident response, automation, and continuous improvement.
Compensation
Compensation: $80.00 per hour
Pay Rate: $80.00 per hour
Responsibilities
Monitor HPC computing systems, storage, networking, and data center infrastructure to maintain operational availability.
Review and respond to alerts, troubleshoot technical issues, and escalate incidents to appropriate support teams.
Develop, maintain, and enhance monitoring tools, alerting pipelines, and automated response systems.
Create scripts and software solutions to automate routine operational tasks, improve reliability, and prevent recurring incidents.
Integrate HPC system APIs with monitoring and notification platforms.
Lead discovery sessions with business stakeholders to understand objectives, pain points, constraints, and desired outcomes for proposed use cases.
Partner with architects and technical teams to shape solution approaches for new and evolving business use cases.
Translate business and functional requirements into solution concepts, architecture recommendations, and implementation considerations aligned with enterprise standards.
Assess solution options, tradeoffs, dependencies, and technical feasibility.
Collaborate with engineers, data scientists, machine learning engineers, and domain experts to refine solution direction and support delivery planning.
We are seeking a highly motivated Cloud DevOps Engineer to help accelerate the delivery of cloud services through automation, Infrastructure as Code (IaC), and modern CI/CD practices.
Compensation
The target base salary range for this full-time, salaried position is between $130,500-$179,400
Responsibilities
Design, build, and maintain CI/CD pipelines using Azure DevOps and GitHub Actions
Implement deployment automation that improves speed, consistency, and reliability of cloud service delivery
Develop and maintain reusable pipeline templates and deployment patterns
Collaborate with development and infrastructure teams to streamline application and infrastructure releases
Drive adoption of DevOps best practices including pipeline governance, source control strategies, automated testing, and release management
Requirements
Bachelor's degree in Computer Science, Information Technology, Engineering, or equivalent practical experience.
Nice to have: Experience implementing cloud networking solutions within Azure
Nice to have: Familiarity with Azure Landing Zones and cloud governance practices
Nice to have: Experience supporting enterprise-scale cloud platforms
Nice to have: Understanding of cloud security, identity, and access management concepts
Motivated summer intern to develop and apply computational approaches to biological questions in target safety research within the Computational Toxicology group.
Compensation
The expected salary range for this position based on the primary location of California is $41.00-$52.00 hourly.
Responsibilities
Develop reproducible computational workflows to integrate and analyze single-cell transcriptomic and multi-omics datasets.
Characterize in vitro models and assess their biological relevance through quantitative analyses and comparisons with reference datasets.
Explore and benchmark AI/ML methods, including foundation models, for analyzing high-dimensional biological data.
Collaborate with computational and experimental scientists to interpret findings and contribute to reusable analysis tools, including LLM-based or agentic workflows where appropriate.
Translates recommendation into communication materials to effectively present to colleagues for peer review and mid-to-upper-level management.
Incorporates visualization techniques to support the relevant points of the analysis and ease the understanding for less technical audiences.
Requirements
Bachelor's degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline; OR 4 years of related experience in statistics, mathematics or quantitative analytics (in addition to the minimum years of experience required) may be substituted in lieu of degree.
