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

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Capital One Financial

Senior Manager, Research & User Intelligence

McLean, Virginia, United States +2 locations

Senior Manager, Research & User Intelligence Senior Manager, Research & User Intelligence (Individual contributor) …

Added Oct 27, 2026

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Expedia Group

Senior Product manager

Gurugram, Haryana, India +2 locations

Full time

… scalable, reusable capabilities across pay-in, authentication, orchestration, and payment status. Use quantitative and qualitative insights (conversion, payment and authentication success, support contacts, customer …

Added Oct 29, 2026

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Amgen

Senior Data Scientist

India - Hyderabad

… aligned with Amgen’s mission and enterprise AI vision. This role requires a strong combination of advanced analytics expertise, hands-on AI engineering capability, and experience operationalizing AI/GenAI solutions in …

Added Nov 2, 2026

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Capital One Financial

Sr. Analyst, Capital Markets & Risk

McLean, Virginia, United States

… interest income in different macro-economic scenarios, and measure fair value of financial instruments. The Senior Analyst position will participate in shaping Capital One’s long-term business strategy by developing …

Added Oct 27, 2026

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Lennar

Sr Manager, Data Engineering

Sacramento CA - Virtual +1 location

Pay posted by employer$166,610.90–$222,148 per year

… ranked among the top homebuilders in the United States. A Career that Empowers You to Build Your Future The Senior Manager, Data Engineering leads a team of analysts, engineers, data scientists, and developers to deliver …

Added Oct 27, 2026

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Capital One Financial

Senior Manager, Data Science - Model Risk

Richmond, Virginia, United States +1 location

Senior Manager, Data Science - Model Risk Data is at the center of everything we do. As a startup, we disrupted …

Added Nov 4, 2026

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Capital One Financial

Senior Manager, Data Scientist - US Card

McLean, Virginia, United States +1 location

Senior Manager, Data Scientist - US Card Data is at the center of everything we do. As a startup, we disrupted the …

Added Oct 27, 2026

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Capital One Financial

Senior Data Analyst - Card

McLean, Virginia, United States +1 location

Senior Data Analyst - Card At Capital One, data is at the center of everything we do. When we launched as a …

Added Oct 31, 2026

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Capital One Financial

Senior Business Analyst - Credit Reporting & Performance

McLean, Virginia, United States

… Strategic & analytic orientation: A proven track record of decision making and problem solving based on analytics. Conceptual thinking skills must be complemented by a strong quantitative orientation, given that a large …

Added Oct 27, 2026

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Capital One Financial

Sr. Business Analyst - Operational Risk Capital

McLean, Virginia, United States +1 location

Added Oct 27, 2026

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Booz Allen Hamilton

Data Scientist, Senior

Alexandria, Virginia, United States

Pay posted by employer$99,000–$225,000

Data Scientist, Senior The Opportunity: As a data scientist, you’re excited at the prospect of unlocking the secrets held by a …

Added Oct 27, 2026

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Booz Allen Hamilton

Data Scientist, Senior

Alexandria, Virginia, United States

Pay posted by employer$99,000–$225,000

Data Scientist, Senior The Opportunity: As a data scientist, you’re excited at the prospect of unlocking the secrets held by a …

Added Oct 27, 2026

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Booz Allen Hamilton

Data Scientist, Senior

Alexandria, Virginia, United States

Pay posted by employer$99,000–$225,000

Data Scientist, Senior The Opportunity: As a data scientist, you’re excited at the prospect of unlocking the secrets held by a …

Added Oct 27, 2026

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Capital One Financial

Sr. Business Analyst - Business Cards & Payments

McLean, Virginia, United States +1 location

… and solve for them using analysis to make strategic or tactical recommendations Product: Perform modeling/analytics to assist new product and pricing strategies for various lending products Marketing: Support …

Added Oct 27, 2026

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Capital One Financial

Senior Manager, Talent Assessment

McLean, Virginia, United States

… building alignment on decisions within a project while developing a “trusted partner” relationship with senior HR leaders and partners Communicating results of statistical analyses, along with their implications, to …

Added Oct 27, 2026

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Databricks

Senior Compensation Manager, GTM

United States

Remote
Senior

Pay posted by employer$217,800–$299,550 USD

… looking for a strategic compensation leader who likes to build. You'll be a trusted partner to founders and senior leadership in our Go-To-Market (GTM) organization. You'll work with them to create compensation solutions …

Added Oct 4, 2026

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Capital One Financial

Senior Business Manager, Enterprise Services

McLean, Virginia, United States +2 locations

… and implement new product and pricing strategies for various lending products; lead product level modeling/analytics Marketing: Lead direct to consumer marketing efforts for select products, and strategic intent for products …

Added Oct 27, 2026

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Capital One Financial

Senior Manager, Data Science - AI Foundations

New York City, New York, United States +2 locations

Senior Manager, Data Science - AI Foundations Data is at the center of everything we do. As a startup, we …

Added Oct 27, 2026

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Capital One Financial

Senior Manager, Data Science - AI Foundations

New York City, New York, United States +2 locations

Senior Manager, Data Science - AI Foundations Data is at the center of everything we do. As a startup, we …

Added Oct 27, 2026

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Capital One Financial

Senior Manager, Data Science - AI Foundations

New York City, New York, United States +2 locations

Senior Manager, Data Science - AI Foundations Data is at the center of everything we do. As a startup, we …

Added Oct 27, 2026

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Databricks

Senior Compensation Manager, GTM

United States

Remote
Senior

Pay posted by employer$217,800–$299,550 USD

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What we look for · employer excerpt

Quantitative and technical skill is the foundation of this role. Everything else we look for builds on it.

About this opportunity

Original employer description

(GAQ327R299)

Databricks is looking for a strategic compensation leader who likes to build. You'll be a trusted partner to founders and senior leadership in our Go-To-Market (GTM) organization. You'll work with them to create compensation solutions that help us attract, retain and motivate world-class GTM talent, and you'll use AI to build the tools that make those solutions scale. This role reports to the Director of Compensation.

At Databricks, we don't think of compensation as just a number. It's how we recognize that every employee is an owner and part of our success. We're looking for someone with a strong foundation and a track record of doing exactly that.

What it takes to thrive

Databricks is a deeply technical, fast-moving environment, and our GTM organization is a key engine of our growth. You'll partner with dynamic, data-driven leaders who value rigorous analysis, clear perspectives, and collaborative problem-solving. In this role, priorities can evolve quickly, and you'll often navigate multiple important initiatives at once.

We set high standards for this role to support our fast-paced growth. Successful team members in this environment tend to:

Build trust through analytical rigor. You present well-reasoned models and effectively articulate complex analysis to quantitative leaders.
Navigate fast-paced priorities with resilience. You maintain focus, sound judgment, and positivity when balancing competing deadlines and feedback.
Offer constructive perspectives. You confidently partner with senior stakeholders to propose data-backed alternative solutions and drive alignment to finalize decisions.
Embrace feedback as a growth tool. You extract actionable insights from feedback and respond with clarity and openness.
Create order from ambiguity. When there's no playbook, you build one, and you're comfortable acting on 80% of the information.

If you are excited by high standards, technical depth, and collaborative strategic discussions, you will find this work deeply rewarding.

The impact you will have

This is a hands-on, high-impact role. Expected time on each area:

GTM compensation solutions and strategic advice (40%)

Work directly with GTM leaders to diagnose talent challenges such as competitive attrition, hard-to-fill roles, rapid scaling and reorganizations, and design attraction and retention solutions that fix them.
Turn vague or urgent requests into clear options with explicit tradeoffs, then help leaders reach a decision.
Serve as the main compensation advisor on strategic executive hires and high-stakes retention situations.

AI-enabled lifecycle compensation (30%)

Run merit, refresh equity and promotion cycles end to end for global GTM teams.
Design and build AI tools and workflows that reduce manual work and improve decisions. Examples include offer modeling, retention-risk analysis, cycle quality checks, and self-serve insights for leaders.
Spot what's repetitive or error-prone in today's processes and automate it.

Enterprise compensation frameworks (30%)

Help scale Databricks' global compensation structure, including market pricing models, pay-for-performance design and equity strategy.
Build frameworks that solve today's problems and anticipate the ones coming as we grow.

What we look for

Quantitative and technical skill is the foundation of this role. Everything else we look for builds on it.

1. Quantitative and technical foundation (required)

Expert-level analytical modeling. You build compensation models from scratch, including cost-of-program scenarios, pay-positioning analysis, attrition and retention-risk modeling, and sensitivity and tradeoff analysis.
Built with AI. You've personally used AI tools (for example LLMs, AI assistants, or automation and agent platforms) to build compensation tools, models or workflows that others rely on. You don't need to be a software engineer, but you should be able to explain how it works, what you'd improve, and how you checked that its outputs were accurate.
Equity fluency. You understand RSU and option mechanics, vesting design, refresh strategy, and how grant values and share price movement affect cost and retention.
Statistical judgment. You know when a market data cut is credible, when a sample is too small, and how to present ranges and market pricing without false precision.

2. Compensation expertise (required)

You know your craft. Job architecture, compensation frameworks, market pricing, year-end and mid-year pay cycles, global compensation practices, and pay-for-performance design.
You know the competition. Deep knowledge of competitor compensation, especially new-hire and refresh equity strategy at high-growth and public tech companies.
You reason from first principles. You balance compensation best practice with what the business actually needs, and you can rebuild a framework from its underlying logic when the standard approach doesn't fit.

3. Strategic partnership (required)

Trusted advisor to senior leaders. You have a track record of advising executives on sensitive, high-stakes compensation decisions (offers, promotions, leveling, retention, transfers, org changes) and influencing the outcome through data and judgment rather than authority.
Operational excellence. You connect the dots between systems, stakeholders and programs to deliver compensation programs end to end, accurately and on time.
Clear communicator. You turn complex analysis into a crisp recommendation an executive can act on in one conversation.

Nice-to-haves

Experience with Tableau or other BI tools, or building dashboards for leaders.
Experience supporting GTM or sales organizations at a high-growth tech company.
Experience scaling compensation programs through hypergrowth, IPO, or major organizational change.
A background in a quantitative field (for example finance, statistics, engineering), or equivalent experience.

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Zone 1 Pay Range

$217,800—$299,550 USD

Zone 2 Pay Range

$196,100—$269,600 USD

Zone 3 Pay Range

$185,200—$254,650 USD

Zone 4 Pay Range

$174,200—$239,600 USD

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Why this result? · Employer labels

Keywords also found in description

People and HR
Remote
Senior

Location reference: GeoNames (CC BY 4.0), normalized by Referizz.