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How much do remote fraud analyst jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for remote fraud analyst in Spring, TX is $27.31, according to ZipRecruiter salary data. Most workers in this role earn between $18.85 and $30.14 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a remote fraud analyst?

To thrive as a Remote Fraud Analyst, you need strong analytical abilities, attention to detail, and a background in finance, business, or a related field. Familiarity with fraud detection software, data analysis tools like Excel or SQL, and relevant certifications such as CFE (Certified Fraud Examiner) are common requirements. Excellent communication skills, critical thinking, and the ability to work independently are valuable soft skills for this position. These skills are crucial for quickly identifying suspicious activities and effectively collaborating with cross-functional teams to mitigate risks.

What are some typical challenges faced by remote fraud analysts, and how can they overcome them?

Remote Fraud Analysts often face challenges such as staying up to date with evolving fraud techniques, managing large volumes of transaction data, and effectively communicating findings with distributed teams. To overcome these challenges, it’s important to continuously participate in relevant training, leverage advanced analytical tools, and establish clear protocols for virtual collaboration. Many companies provide strong support structures, ongoing professional development, and access to collaborative platforms to help analysts excel in their roles. Being proactive in learning and maintaining open, timely communication ensures success and impactful contributions to a remote fraud prevention team.

What is a remote fraud analyst?

A Remote Fraud Analyst is responsible for detecting and preventing fraudulent activities by analyzing transactions, user behavior, and financial data from a remote location. They use fraud detection tools, risk assessment techniques, and company policies to identify suspicious activity and take necessary actions. Their role often involves reviewing flagged transactions, investigating fraud cases, and working with other teams to implement fraud prevention strategies. Strong analytical skills, attention to detail, and knowledge of fraud detection systems are essential for this position.

What are the most commonly searched types of Fraud Analyst jobs in Spring, TX? The most popular types of Fraud Analyst jobs in Spring, TX are:
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What cities near Spring, TX are hiring for Remote Fraud Analyst jobs? Cities near Spring, TX with the most Remote Fraud Analyst job openings:
Remote Fraud Analyst jobs near you
Infographic showing various Remote Fraud Analyst job openings in Spring, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $56,795 per year, or $27.3 per hour.

Financial Analyst - Project Finance

Giga Energy

Houston, TX • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 11 days ago

Job description

What you'll do

As Financial Analyst, Project Finance, you'll sit at the center of how Giga structures. finances, and manages infrastructure projects - from AI data center developments to powered land and OEM deployments. This isn't just a reporting role. You'll build the deal-level financial models that determine how we finance assets, what returns look like for investors and lenders, and how we structure capital across a growing portfolio of projects. If you want to work on real transactions at the intersection of energy infrastructure and AI, this is that role.

Where you'll work

We are an in-office culture - velocity matters when you're building physical infrastructure, and the best decisions happen in the room. This role is ideally based in our San Francisco or Houston offices, with full-time onsite expectations outside of bi-weekly WFH Fridays.

That said, we will make exceptions for truly exceptional talent if you live outside one of our hubs. If you're the right person for this role, we'll have a conversation about what works.

Responsibilities
  • Build and own project-level financial models for Giga's infrastructure deployments including AI data center sites, powered land transactions, and OEM projects.
  • Model debt and equity capital structures, cash flow waterfalls, IRR and return on investment analyses, and sensitivity scenarios for individual projects.
  • Support project-level underwriting and investment committee presentations for new development opportunities.
  • Maintain and update financial models and budgets as projects progress from development through construction, service, and operations.
  • Analyze capital equipment BOMs for  financial model inputs and integrity.
  • Support structuring and execution of project finance transactions including construction loans, term loans, tax equity, and other project-level capital structures.
  • Assist in preparation of lender and investor materials including information memoranda, financial projections, and due diligence packages.
  • Coordinate with legal, engineering, and operations teams to ensure financial models reflect project-level assumptions accurately.
  • Track debt covenants, reporting requirements, and ongoing lender relationships across the project portfolio.
  • Develop and maintain project budgets and portfolio dashboards tracking financial performance, construction milestones, and capital deployment against plan.
  • Prepare monthly and quarterly project-level financial reports for internal leadership and external capital partners.
  • Identify and quantify project-level risks including cost overruns, schedule delays, offtake risk, and supply chain exposure.
  • Support development of standard financial models and templates that can be replicated across new project types as Giga scales.
  • Partner closely with the development, engineering, legal, and operations teams to translate project plans into accurate financial models.
  • Support Head of Project Finance on structuring new deal types as Giga enters new markets and product categories.
  • Contribute to development of Giga's project finance playbook and standard deal structures.
Requirements
  • 3-6 years of experience in project finance, infrastructure finance (data centers/ hyperscalers), energy finance, investment banking (power/utilities/infrastructure coverage), or a high-growth corporate finance function with project-level modeling exposure.
  • Strong project-level financial modeling skills including debt sizing, cash flow waterfall modeling, IRR analysis, and sensitivity scenarios.
  • Understanding of project finance structures including construction financing, term loans, tax equity, DSCR covenants, and equity return frameworks.
  • Ability to read and interpret project documents including EPC contracts, offtake agreements, interconnection agreements, and land leases to extract financial assumptions.
  • Proficiency in Excel/Google Sheets; ability to build and own complex project models independently.
  • Strong written and verbal communication skills - you can explain deal economics to non-finance stakeholders.
  • Bachelor's degree in Finance, Economics, Engineering, or a related field.
Bonus points
  • Experience in energy, data centers, power generation, or infrastructure project finance specifically.
  • Exposure to tax equity structures including HLBV, ITC/PTC transactions, or partnership flip models.
  • Familiarity with DSCR modeling, reserve accounts, and lender due diligence processes.
  • Experience supporting a company through a project financing close or capital raise as an internal team member.
  • MBA or CFA designation.
  • Proficiency with BI or financial planning tools such as Tableau, Mosaic, or Anaplan.
Benefits
  • Employer-assisted health, dental, and vision insurance
  • Equity (options) in a rapidly growing startup
  • 401(k) with 4% employer match
  • Unlimited PTO
  • Parental leave
  • Healthcare and Dependent Care FSA or HSA
  • Commuter benefits

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