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Senior Risk Analyst Jobs in Georgetown, TX (NOW HIRING)

Overview The Senior FinOps Analyst role is critical for optimizing cloud spending and driving financial accountability and cloud strategy across engineering and business units. This senior position ...

Open to all HSB/Munich Re Offices + Remote Options Senior Cyber and Tech Risk About the Role ... Analyze market trends and recommend coverage, pricing, and product changes to maintain competitive ...

Sr Manager, Risk Management

Austin, TX · On-site

$143K - $212K/yr

Collaborate with teams to identify and analyze risks that may impact operations and assets. * Develop and implement strategies for risk mitigation and compliance. * Assess current business trends to ...

As a Senior Manager, you will leverage your skills and network to deliver quality results. You will ... analytical thinking to identify underlying problems and opportunities in risk management - Crafting ...

Senior Security Analyst I

Austin, TX · Remote

$140K - $176K/yr

As a Senior Security Analyst at DigitalOcean reporting to the Manager, Security Defense Engineering ... Build, measure, and tune detection content and risk-scoring logic on UEBA / SIEM / DLP / UAM ...

Senior Business Analyst 3

Austin, TX · On-site

$91K - $118K/yr

Senior Business Analyst 3 Austin, Texas, United States Or refer someone Job Openings Senior ... Prepares solution options, risk identification, and financial analyses such as cost/benefit, ROI ...

StevenDouglas is exclusively engaged on an exceptional Senior Treasury Analyst opportunity in ... risk oversight, and global treasury operations. This position will be directly involved in the ...

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Senior Risk Analyst information

See Georgetown, TX salary details

$49.7K

$102.1K

$132.4K

How much do senior risk analyst jobs pay per year?

As of Jul 5, 2026, the average yearly pay for senior risk analyst in Georgetown, TX is $102,061.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,100.00 and $127,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Senior Risk Analyst, and why are they important?

To thrive as a Senior Risk Analyst, you need strong analytical skills, a solid grasp of risk assessment methodologies, and typically a degree in finance, economics, or a related field. Proficiency with risk management software, data analysis tools like Excel, and familiarity with regulatory frameworks such as Basel III or SOX is often required. Attention to detail, critical thinking, and effective communication are crucial soft skills for identifying, evaluating, and reporting risks. These competencies are vital for ensuring accurate risk identification and mitigation, supporting sound business decisions, and maintaining regulatory compliance.

How much do risk analysts get paid?

Risk analysts typically earn a median annual salary of around $70,000 to $90,000, depending on experience, location, and industry. Senior risk analysts with specialized skills and certifications can earn higher salaries, often exceeding $100,000 annually.

How does a Senior Risk Analyst typically collaborate with other departments to identify and mitigate risks?

Senior Risk Analysts regularly work with teams across the organization, such as compliance, finance, operations, and IT, to identify emerging risks and implement mitigation strategies. They often participate in cross-functional meetings, provide insights from data analysis, and help develop policies that address both regulatory requirements and business objectives. Building strong working relationships and communicating complex risk scenarios in an accessible way are key to ensuring coordinated risk management efforts. This collaborative approach not only helps in early detection of potential issues but also fosters a proactive risk culture within the company.

How much does a senior risk analyst make in the US?

A senior risk analyst in the US typically earns between $80,000 and $120,000 annually, depending on experience, industry, and location. They often require strong analytical skills, knowledge of risk management tools, and relevant certifications such as FRM or CRM.

What is the salary of senior risk analyst in JP Morgan?

The average salary for a Senior Risk Analyst at JP Morgan typically ranges from $80,000 to $130,000 annually, depending on experience, location, and specific department. Additional compensation may include bonuses and benefits, and the role often requires proficiency in risk management tools and certifications such as FRM or CFA.

What is the difference between Senior Risk Analyst vs Risk Analyst?

AspectSenior Risk AnalystRisk Analyst
Required CredentialsBachelor's degree, often certifications like FRM or CRMBachelor's degree, some certifications like FRM or CRM
Work EnvironmentFinancial institutions, insurance companies, consulting firmsFinancial firms, corporations, government agencies
Employer & Industry UsageUsed across finance, insurance, and consulting sectorsCommon in finance, banking, and insurance industries

The main difference is that Senior Risk Analysts typically have more experience, advanced certifications, and handle more complex risk assessments. They often lead projects and mentor junior staff, whereas Risk Analysts focus on data collection, analysis, and supporting risk management processes.

What does a senior risk analyst do?

A senior risk analyst evaluates potential risks that could impact an organization’s financial health, operations, or reputation. They analyze data, develop risk mitigation strategies, and use tools like risk assessment software to inform decision-making. This role often requires strong analytical skills, industry knowledge, and relevant certifications such as FRM or CRM.
What are the most commonly searched types of Risk Analyst jobs in Georgetown, TX? The most popular types of Risk Analyst jobs in Georgetown, TX are:
What job categories do people searching Senior Risk Analyst jobs in Georgetown, TX look for? The top searched job categories for Senior Risk Analyst jobs in Georgetown, TX are:
What cities near Georgetown, TX are hiring for Senior Risk Analyst jobs? Cities near Georgetown, TX with the most Senior Risk Analyst job openings:
Senior FinOps Analyst

Senior FinOps Analyst

SolarWinds

Austin, TX • On-site

Full-time

Posted 3 days ago


SolarWinds rating

8.9

Company rating: 8.9 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

30th of 202 rated software companies


Job description

At SolarWinds, we're a people-first company. Our purpose is to enrich the lives of the people we serve-including our employees, customers, shareholders, partners, and communities. Join us in our mission to help customers accelerate business transformation with simple, powerful, and secure solutions.
The ideal candidate thrives in an innovative, fast-paced environment and is collaborative, accountable, ready, and empathetic. We're looking for individuals who believe they can accomplish more as a team and create lasting growth for themselves and others. We hire based on attitude, competency, and commitment. Solarians are ready to advance our world-class solutions in a fast-paced environment and accept the challenge to lead with purpose. If you're looking to build your career with an exceptional team, you've come to the right place. Join SolarWinds and grow with us!
Overview
The Senior FinOps Analyst role is critical for optimizing cloud spending and driving financial accountability and cloud strategy across engineering and business units. This senior position requires a seasoned professional who can think strategically across multiple business units and cloud providers, with a focus on identifying and tracking high-impact savings initiatives. The role has expanded to include ownership of SaaS spend governance, AI/ML token and consumption cost management, and enterprise-wide cloud financial controls as the organization scales its use of cloud-native and AI-powered services.
Responsibilities
  • Cloud Monitoring & Reporting: Own and maintain a standardized process, using data analytics and reporting tools, providing context on cloud spending to senior leadership and keeping internal teams informed about their cloud usage and costs.
  • Cloud Financial Management: Coordinate with finance, senior leadership, and directors to manage the cloud lifecycle and identify financial constraints for cloud strategy across all teams and cloud providers (AWS, Azure, GCP).
    • Cost Optimization: Proactively identify, prioritize, and drive execution on opportunities to reduce costs and increase the value of cloud investments.
    • EDP Agreements: Advise senior leadership on negotiating reseller agreements, track progress towards commitments, and ensure the organization's cloud strategy is reflective of any obligations.
    • Private Rate Discounts: Engage with 3rd-parties offering service-specific discounts and coordinate with engineering teams to review and implement.
    • Contractor Management: Coordinate with engineering contractors and their project managers to enforce cost constraints and include FinOps best practices in the statement of work.
    • Cost Allocation & Chargeback: Coordinate with Accounts Payable and FP&A to ensure cloud costs are correctly allocated and book chargebacks from shared services and bulk discounts.
  • Cloud Strategy & Governance: Establish a FinOps program to promote best practices, define policies and standards (e.g. chargeback, tagging, resource deployments), and enforce cost visibility and accountability.
    • Initiative Tracking & Reporting: Define clear KPIs to monitor the realized financial results of completed cloud initiatives and the forecasted results of future initiatives.
    • Stakeholder Collaboration: Collaborate with directors and engineering teams to align optimizations with development initiatives to create a cloud strategy that delivers within financial constraints.
    • Capacity Optimization: Manage the purchase of pre-ordered capacity for the organization (e.g. savings plans, reserved instances, pricing tiers) to balance savings with flexibility while avoiding waste.
    • Tooling & Automation: Oversee and optimize the FinOps tool stack (e.g. Cloud Health, native cloud tools, and custom data analytics) to drive speed, accuracy, and quality of FinOps data and automation.
  • SaaS Spend Governance: Build and maintain a comprehensive SaaS spend management program that provides full visibility into the organization's software subscriptions, licenses, and vendor contracts.
    • SaaS Inventory & License Management: Maintain an authoritative inventory of all SaaS subscriptions and licenses across business units, identify redundant or underutilized tools, and work with procurement to rationalize the portfolio.
    • Vendor & Contract Optimization: Partner with procurement and legal to negotiate SaaS agreements, enforce renewal governance, and identify consolidation opportunities that reduce total cost of ownership.
    • SaaS Cost Allocation & Chargeback: Establish chargeback/showback frameworks for SaaS costs by team, product, and cost center to drive accountability and align spend with business value.
    • SaaS Policy & Controls: Define and enforce SaaS procurement policies including approval workflows, acceptable-use standards, and shadow IT controls to prevent unauthorized spend.
    • Usage & Adoption Analytics: Leverage SaaS management platforms (e.g. Zylo, Torii, Flexera, or Apptio) to track license utilization and adoption rates, flagging low-usage seats for rightsizing or elimination.
  • AI Token & Consumption Management: Own the financial governance of AI/ML inference costs, API consumption, and token-based pricing across all AI services used within the organization.
    • Token Cost Visibility & Reporting: Develop dashboards and reporting pipelines that track token consumption and associated costs by team, product, model, and use case for LLM and AI API services (e.g. OpenAI, Azure OpenAI, Anthropic, AWS Bedrock, Google Vertex AI).
    • Consumption Budget & Alerting: Define token and API consumption budgets per team and product line, implement automated alerting for threshold breaches, and enforce guardrails to prevent runaway spend.
    • Model & Tier Optimization: Collaborate with AI/ML and engineering teams to evaluate trade-offs between model capability and cost, recommending prompt optimization, caching strategies, model tiering, and batching to reduce per-unit token costs.
    • Consumption-Based Pricing Governance: Establish governance frameworks for consumption-based and metered SaaS pricing models, ensuring contracts include appropriate usage caps, overage protections, and volume commitment structures.
    • AI FinOps Chargeback: Implement token-level cost allocation and chargeback/showback mechanisms so that AI costs are attributed accurately to the products and teams driving consumption.
    • Committed Use & Reserved Capacity: Analyze consumption patterns to identify opportunities for provisioned throughput, committed use discounts, or pre-purchased capacity for AI services, balancing cost savings with throughput flexibility.

Qualifications
  • Experience: 3-7 years working in a dedicated FinOps role at a SaaS company, with demonstrated experience spanning cloud infrastructure costs, SaaS spend management, and consumption-based AI/ML cost governance.
  • Financial Acumen: Deep understanding of cloud pricing models and cost management features of at least one major cloud provider (AWS, Azure, or GCP). Proven ability to perform complex financial modeling, variance analysis, and business case development for optimization initiatives.
  • Technical Acumen: Deep understanding of cloud infrastructure and services of at least one major cloud provider (AWS, Azure, or GCP) and experience rightsizing containerized and non-containerized cloud workloads.
  • Cloud & SaaS Spend Governance: Hands-on experience building or maturing a SaaS spend management program, including license management, vendor contract governance, shadow IT controls, and chargeback frameworks. Familiarity with SaaS management platforms (e.g. Zylo, Torii, Flexera, Apptio) is strongly preferred.
  • AI & Token Cost Management: Familiarity with token-based and consumption-based pricing for AI/ML services (e.g. OpenAI, Azure OpenAI, Anthropic, AWS Bedrock, Google Vertex AI). Experience building cost observability for LLM APIs, implementing budget guardrails, and partnering with engineering teams to optimize prompt efficiency and model selection.
  • Tool Proficiency: Expertise with data analytics platforms (Power BI, Tableau), FinOps tools (e.g. CloudHealth, AWS CID, Azure FinOps toolkit), SaaS management platforms, and analysis tools (e.g. SQL, Azure Functions, AWS Athena).
  • Communication & Organization: Exceptional verbal and written communication skills with the ability to present complex subjects clearly and concisely. Capable of presenting financial and strategic insights to senior leadership followed by actionable insights to more technical audiences (developers and engineers).
  • Education: Bachelor degree in Finance, Information Technology, or a related field. Master of Business Administration is a plus.
  • Certifications: FinOps Certified Practitioner, FinOps Certified Engineer, FinOps Certified FOCUS Analyst, and other cloud certifications are highly desirable. Certifications or coursework related to AI/ML cost management or SaaS Operations are a plus.

Expected Performance
  • Data & Reporting: Information is made available quickly, is accurate, and is actionable by stakeholders.
    • Total Annualized Cloud Savings: Define annual targets for cloud savings and track progress.
    • Forecasting Accuracy: Continuously improve the organization's ability to accurately forecast expenses over 1-year, 3-year, and 5-year timelines.
    • Cost Visibility & Accountability: Implement FinOps governance policies to ensure cost accountability and adherence to best practice standards.
    • SaaS Spend Reduction: Establish baseline SaaS spend metrics and deliver measurable savings through license rightsizing, vendor consolidation, and renewal optimization.
    • AI/Token Cost Efficiency: Track cost-per-token and cost-per-inference trends across AI services; demonstrate quarter-over-quarter improvements in AI cost efficiency through optimization initiatives.
  • Optimizations: Collaborate with engineers to increase the value of the organization's cloud investments through FinOps initiatives and coordinate with leaders to optimize cloud strategy towards business objectives.
  • Operations: Manage the organization's pre-ordered capacity and drive progress towards FinOps initiatives while maintaining cost accountability and visibility across cloud, SaaS, and AI consumption spend.

SolarWinds is an Equal Employment Opportunity Employer. SolarWinds will consider all qualified applicants for employment without regard to race, color, religion, sex, age, national origin, sexual orientation, gender identity, marital status, disability, veteran status or any other characteristic protected by law.
All applications are treated in accordance with the SolarWinds Privacy Notice: https://www.solarwinds.com/applicant-privacy-notice

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