1,000+ matching jobs for “Quantitative Analytics Senior”

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Capital One Financial

Senior Manager, Enterprise Risk Management - Adherence Monitoring

McLean, Virginia, United States +3 locations

Senior Manager, Enterprise Risk Management - Adherence Monitoring Do you want to be part of an organization that’s …

Added Oct 31, 2026

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Cisco Systems

Senior Manager of Infrastructure Efficiency & Capacity Management

RTP, North Carolina, US +1 location

Pay posted by employer$160,000–$203,600

… lead a high-caliber team of engineers and analysts specializing in capacity economics, infrastructure data analytics, compute, and platform efficiency. Establish a repeatable operating model for demand forecasting, unit …

Added Oct 27, 2026

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Visa

Senior Director, Head of Specialist & Consulting Delivery VCA-X

Bengaluru, Karnataka, India

Team Summary Visa Consulting and Analytics (VCA) is the consulting arm of Visa, and drives tangible, impactful results for clients. Drawing on our …

Added Oct 27, 2026

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Amgen

BAI – Senior Manager, Global Oncology Forecasting Lead

Thousand Oaks, California, United States

… part of the Amgen team. Join us and transform the lives of patients while transforming your career. BAI – Senior Manager, Global Oncology Forecasting Lead What you will do Let’s do this. Let’s change the world. The …

Added Oct 20, 2026

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Capital One Financial

Senior Manager, Product Manager- Risk Management, Compliance and Ethics

New York City, New York, United States +3 locations

Senior Manager, Product Manager- Risk Management, Compliance and Ethics Senior Manager, Product Manager- Risk …

Added Oct 27, 2026

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Capital One Financial

Senior Staff Full Stack Engineer - Dealer Tech

Plano, Texas, United States

Senior Staff Full Stack Engineer - Dealer Tech As a Senior Staff Engineer at Capital One, you will be part of a …

Added Oct 27, 2026

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Databricks

Sr. Partner Solutions Architect - Customer Lake & Lakewatch

United States

Remote
Senior

Pay posted by employer$219,100–$301,300 USD

… We Look For 8+ years in solutions architecture, partner technical management, principal engineering, or senior customer-/partner-facing technical pre-sales roles Proven track record working with system integrators …

Added Nov 4, 2026

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Marsh & McLennan

Oliver Wyman – Senior Consultant- (m/f/d) – Madrid

Castellana, Madrid, Spain

As a Senior Consultant, you will play a pivotal role in shaping client engagements from problem definition through …

Added Oct 27, 2026

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Hartford Insurance Group

Sr Analyst Model Risk & AI, Gen AI Model Validation

Hartford, Connecticut, United States +1 location

Hybrid or 100% Remote
Regular

Pay posted by employer$108,000–$162,000

… summarization, question answering, search, data synthesis, LLM-as-a-judge etc. − Review and assess quantitative and qualitative testing techniques to ensure model accuracy, robustness, and reliability − Assess …

Added Nov 3, 2026

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Bank of America

Senior Engineer - Global Rates eTrading Tech

Jersey City, New Jersey, United States 2 postings

Pay posted by employer$122,000–$200,000

… Additionally, this job is accountable for end-to-end solution design and delivery. Job Profile Summary: A Senior Rates eTrading Development Lead is required to modernize and expand our front office eTrading platforms …

Added Nov 6, 2026

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Capital One Financial

Senior Manager, Full-stack Engineer (People Leader)

Richmond, Virginia, United States +2 locations

… performance requirements Basic Qualifications: Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of …

Added Oct 27, 2026

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Databricks

Senior Manager, AI Forward Deployed Engineering - London

London, England, United Kingdom

Senior

… ML solutions in cloud environments (AWS, Azure, or GCP) Proven success in developing a strategy with senior executive stakeholders to define program-level goals, align technical vision, and build trust throughout …

Added Oct 4, 2026

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Boeing

Senior Greenfield Full Stack Developer (Builder)

CAN - Richmond, Canada +1 location

Hybrid
Full time
Regular

Pay posted by employer$110,000–$197,000 CAD

We're looking for an Senior Greenfield Full Stack Developer (Builder) who will help support the end-to-end software delivery. This is …

Added Oct 12, 2026

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Marsh & McLennan

Oliver Wyman: Finance & Risk / Senior Consultant - Associate / UK

London - Baker

… planning, financial resource management, operating model design, and artificial intelligence and advanced analytics engagements working alongside Oliver Wyman Data and Analytics specialists. Based in London, you will be …

Added Oct 27, 2026

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Applied Materials

Senior Manager, Supply Chain Data Science & AI Operationalization

Santa Clara, California, United States

Pay posted by employer$193,500–$266,000

… as the core of the role: embed AI, generative AI and LLM-based methods into how supply chain analytics is produced, turning manual, one-off analyses into governed, automated, always-on workflows that scale …

Added Oct 27, 2026

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Amgen

Senior Principal Scientist Integrated Technology, Computation & Experimental Biology

South San Francisco, California, United States

… as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Senior Principal Scientist Integrated Technology, Computation & Experimental Biology What you will do Let’s do …

Added Nov 3, 2026

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Capital One Financial

Senior Manager, Product Management - Cloud Operations Resilience Engineering (CORE)

McLean, Virginia, United States +3 locations

Senior Manager, Product Management - Cloud Operations Resilience Engineering (CORE) Product Management at Capital …

Added Oct 27, 2026

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Databricks

Senior Solutions Architect - Retail, Consumer Goods, Travel & Hospitality

Atlanta, Georgia, United States +2 locations

Remote
Senior

Pay posted by employer$219,100–$301,300 USD

… most complex customer engagements, directly influencing platform adoption and revenue growth. Own senior-level technical relationships — serving as a trusted advisor on enterprise data and AI strategy Lead the …

Added Oct 7, 2026

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Hartford Insurance Group

Senior Risk Analyst or Assistant Director & Associate Actuary

Hartford, Connecticut, United States +2 locations

Hybrid or 100% Remote
Regular

Pay posted by employer$111,200–$169,800

… insurance risk parameterizations used within the Economic Capital model. Perform sensitivity testing and analytics to assess the impact of changing assumptions, risk characteristics, and capital requirements on business …

Added Nov 3, 2026

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Capital One Financial

Senior Manager, Machine Learning Engineer (People Leader)

New York City, New York, United States +3 locations

… Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of …

Added Oct 27, 2026

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Applied Materials

Senior Manager, Supply Chain Data Science & AI Operationalization

Santa Clara, California, United States

Pay posted by employer$193,500–$266,000

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Required qualifications · employer excerpt

Hands-on experience delivering AI and analytics in a supply chain context, with measurable business results (dollars, cycle time or hours reclaimed).
Strong builder: has taken analytics from notebooks to governed production with lineage, monitoring and clear ownership.
Deep technical foundation: SQL, Python, Databricks / lakehouse, enterprise BI.
Applied AI tooling: LLMs and generative AI (RAG, agentic workflows), MLflow or equivalent, AI-assisted development tools.
Experience deploying governed services on an enterprise application / MLOps platform such as ARO (Azure Red Hat OpenShift) or equivalent (Kubernetes / OpenShift, Azure ML, cloud-native).

2 more in the full description below.

About this opportunity

Original employer description

Who We Are

Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that we create and service is essential to advancing AI and accelerating the commercialization of next-generation semiconductor chips. Join us and push the boundaries of materials science and engineering in a company at the foundation of the electronics industry. The work we do together advances the world’s technology.

What We Offer

Salary:

$193,500.00 - $266,000.00

Location:

Santa Clara,CA

You’ll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible—while learning every day in a supportive leading global company. Visit our Careers website to learn more.

At Applied Materials, we care about the health and wellbeing of our employees. We’re committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits.

Key Responsibilities

Drive strong AI operationalization as the core of the role: embed AI, generative AI and LLM-based methods into how supply chain analytics is produced, turning manual, one-off analyses into governed, automated, always-on workflows that scale output without adding headcount.
Lead delivery of supply chain analytics within Applied Materials' Global Service Operations (Procurement, Order Fulfillment, Reverse Value Chain and supplier operations), owning execution against the function's roadmap and delivery SLAs.
Build and ship the repeatable, AI-assisted workflows and agents that convert recurring manual work into reusable, governed tools, hands-on where it counts.
Take high-value tools from prototype to governed production (Databricks, BI hosting, enterprise application / MLOps hosting) with data lineage, monitoring, model lifecycle management and clear ownership.
Establish and apply AI operationalization practices: prompt and model evaluation, human-in-the-loop controls, versioning, monitoring and governance, so AI outputs are trusted and decision-ready.
Plans, manages and controls the activities of a team of analysts that provides business intelligence and strategic planning support for the business.
Leads project teams to design and develop the methods, processes and systems that consolidate and analyze structured and unstructured, diverse "big data" sources; communicates insights and findings to business management to improve business processes.
Performs and directs complex statistical and data-mining analysis; provides input on and design of data acquisition systems, data structure and database design.
Brings expertise or identifies subject-matter experts in support of multi-functional efforts to identify, interpret and produce recommendations based on company and external data.
Helps business groups understand their data; applies analytics to derive insights and works with the business to determine actions and KPIs for those actions.
Selects, develops and evaluates personnel, ensuring efficient operation of the function.
Leads or participates in project teams developing analytical models, algorithms and automated processes, applying SQL and Python, to cleanse, integrate and evaluate large datasets.
Tracks delivery cycle time, quality and business impact (dollars influenced, hours reclaimed) and reports to the function lead.

Functional Knowledge

Regarded as the technical expert in supply chain analytics and AI operationalization: SQL, Python, Databricks / lakehouse, BI, and applied AI / LLMs (RAG, agentic workflows) used to productionize workflows.
Demonstrates in-depth expertise in own discipline and broad knowledge of other disciplines within the function.

Business Expertise

Understands supply chain economics (procurement, inventory, repair and reverse value chain, order fulfillment, supplier performance); anticipates business issues and recommends process, product or service improvements.

Leadership

Leads projects with notable risk and complexity; develops the strategy for project execution and mentors analysts to raise the delivery bar.

Problem Solving

Solves unique and complex problems with broad business impact; reframes recurring manual analyses as automatable, governed capabilities rather than point solutions, using conceptual and innovative thinking.

Impact

Impacts the direction and resource allocation for programs and projects; delivers governed, AI-assisted tools that compound in value across the supply chain, within general functional policies and industry guidelines.

Interpersonal Skills

Communicates complex ideas, anticipates objections and persuades others, often at senior levels, to adopt a different point of view; partners with function stakeholders as collaborators, not ticket submitters.

About the role

A hands-on delivery leadership role. Applied Materials' Global Service Operations moves billions of dollars of parts, repairs and inventory across Procurement, Order Fulfillment and the Reverse Value Chain. The analytics that steer those decisions today are strong, and ready to be amplified with AI at scale. You will turn the function's roadmap into shipped, governed, AI-assisted tools, building where it counts, leading a small team of analysts, and holding delivery to clear cycle-time and quality standards.

First-year outcomes

The highest-value analyses in your domain converted from one-off manual work to repeatable, governed, AI-assisted workflows.
Key tools graduated from notebooks to governed production, each with lineage, monitoring and a named owner.
Delivery consistently meeting published cycle-time and quality SLAs, with measurable reduction in turnaround.
A small analyst team leveled up, with raised standards and reduced key-person risk.

Required qualifications

Hands-on experience delivering AI and analytics in a supply chain context, with measurable business results (dollars, cycle time or hours reclaimed).
Strong builder: has taken analytics from notebooks to governed production with lineage, monitoring and clear ownership.
Deep technical foundation: SQL, Python, Databricks / lakehouse, enterprise BI.
Applied AI tooling: LLMs and generative AI (RAG, agentic workflows), MLflow or equivalent, AI-assisted development tools.
Experience deploying governed services on an enterprise application / MLOps platform such as ARO (Azure Red Hat OpenShift) or equivalent (Kubernetes / OpenShift, Azure ML, cloud-native).
People leadership: has led or mentored analysts and managed delivery against demand.
Partners with function stakeholders to translate their decisions into analytics they act on.

Preferred qualifications

Semiconductor, high-tech or complex global supply chain experience (parts, repair, reverse logistics, order fulfillment).
Domain depth in reverse value chain / repair, inventory optimization, supplier performance or on-time-delivery analytics.
Contributed to standing up an AI / analytics center of excellence or MLOps practice.

Education and experience

Bachelor's degree required; advanced quantitative degree preferred. 8 to 12 years in data science / advanced analytics, including hands-on supply chain analytics and AI delivery and some team leadership.

Relocation Available

Additional Information

Time Type:

Full time

Employee Type:

Assignee / Regular

Travel:

Yes, 10% of the Time

Relocation Eligible:

The salary offered to a selected candidate will be based on multiple factors including location, hire grade, job-related knowledge, skills, experience, and with consideration of internal equity of our current team members. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation such as participation in a bonus and a stock award program, as applicable.

For all sales roles, the posted salary range is the Target Total Cash (TTC) range for the role, which is the sum of base salary and target bonus amount at 100% goal achievement.

Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.

In addition, Applied endeavors to make our careers site accessible to all users. If you would like to contact us regarding accessibility of our website or need assistance completing the application process, please contact us via e-mail at [email protected], or by calling our HR Direct Help Line at 877-612-7547, option 1, and following the prompts to speak to an HR Advisor. This contact is for accommodation requests only and cannot be used to inquire about the status of applications.

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