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Remote Financial Intelligence Analyst Jobs (NOW HIRING)

Initio Capital

Deal Intelligence Analyst

New York, NY · Remote

$50 - $200/hr

We support fund managers, investors, operators, and finance professionals across private markets by ... Deal Intelligence Analysts do not wait months for placement--once verified, they can immediately ...

Nextech

Business Intelligence Analyst

Memphis, TN · On-site +1

Memphis, TN (Hybrid) or Remote Overview We are seeking a Business Intelligence Analyst to support data analysis, reporting, and dashboard development initiatives. This role will partner closely with ...

Crisis24

Intelligence Analyst I

Highland Beach, MD · Remote

The role will be fully remote, with a preference for Nashville, TN, or Annapolis, MD. The contract ... GSOC Intelligence Analyst will be part of the Global Security Operations Center (GSOC) team ...

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Control Risks

Security Intelligence Analyst

Washington, DC · On-site +1

$85K - $95K/yr

The Security Intelligence Analyst will be a key member of the Global Security Intelligence team as ... and remote working. * Control Risks offers a competitively positioned compensation and benefits ...

Grant Street Group

Business Intelligence Analyst

Strategic & Financial Acumen: Deep fluency in SaaS revenue metrics, forecasting, and financial ... analysis. * Familiarity with business intelligence or data visualization tools such as Tableau ...

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$88.1K

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How much do remote financial intelligence analyst jobs pay per year?

As of May 29, 2026, the average yearly pay for remote financial intelligence analyst in the United States is $88,111.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,000.00 and $110,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Financial Intelligence Analyst, and why are they important?

To thrive as a Remote Financial Intelligence Analyst, you need strong analytical skills, attention to detail, and a background in finance, economics, or criminal justice, often supported by relevant degrees or certifications. Familiarity with anti-money laundering (AML) software, data analysis tools like Excel or SQL, and regulatory compliance platforms is typically required. Excellent communication, critical thinking, and the ability to work independently are standout soft skills for this role. These competencies are crucial for accurately identifying suspicious financial activities, ensuring regulatory compliance, and effectively collaborating with teams remotely.

How does a Remote Financial Intelligence Analyst typically collaborate with team members and stakeholders while working offsite?

Remote Financial Intelligence Analysts often work closely with colleagues in compliance, risk management, and law enforcement via secure digital communication platforms. Regular virtual meetings, secure file sharing, and collaborative analysis tools are commonly used to ensure seamless information exchange and project updates. Building strong remote relationships and maintaining clear, proactive communication are key to addressing complex cases and meeting deadlines. Analysts may also participate in virtual training sessions and cross-functional teams to stay aligned with evolving regulations and industry best practices.

What is a Remote Financial Intelligence Analyst?

A Remote Financial Intelligence Analyst is a professional who analyzes financial data and transactions to detect suspicious activity, such as money laundering, fraud, or terrorist financing, while working from a location outside the traditional office setting. They utilize various software tools and databases to collect, interpret, and report on financial information for banks, government agencies, or private companies. Their role often involves investigating anomalies, preparing reports for compliance, and recommending actions based on their findings. Remote analysts communicate with colleagues and clients virtually to ensure effective collaboration and secure information sharing.

What is the difference between Remote Financial Intelligence Analyst vs Remote Financial Analyst?

AspectRemote Financial Intelligence AnalystRemote Financial Analyst
Required CredentialsBachelor's in Finance, Economics, or related field; certifications like CFA or CFEBachelor's in Finance, Accounting, or related field; certifications like CFA
Work EnvironmentFinancial institutions, government agencies, or consulting firmsCorporations, investment firms, or banks
Industry UsageFinancial intelligence, compliance, and risk assessmentFinancial planning, analysis, and reporting

The Remote Financial Intelligence Analyst focuses on analyzing financial data to detect fraud, ensure compliance, and assess risks, often working in regulatory or investigative settings. In contrast, the Remote Financial Analyst primarily evaluates financial performance, prepares reports, and supports investment decisions within corporate or banking environments. While both roles require strong analytical skills and finance credentials, their core functions and industry applications differ significantly.

More about Remote Financial Intelligence Analyst jobs
What cities are hiring for Remote Financial Intelligence Analyst jobs? Cities with the most Remote Financial Intelligence Analyst job openings:
What are the most commonly searched types of Financial Intelligence Analyst jobs? The most popular types of Financial Intelligence Analyst jobs are:
What states have the most Remote Financial Intelligence Analyst jobs? States with the most job openings for Remote Financial Intelligence Analyst jobs include:
What job categories do people searching Remote Financial Intelligence Analyst jobs look for? The top searched job categories for Remote Financial Intelligence Analyst jobs are:
Remote Financial Intelligence Analyst jobs near you
Infographic showing various Remote Financial Intelligence Analyst job openings in the United States as of May 2026, with employment types broken down into 1% Internship, 69% Full Time, 14% Part Time, 1% Temporary, and 15% Contract. Highlights an 38% Physical, 2% Hybrid, and 60% Remote job distribution, with an average salary of $88,111 per year, or $42.4 per hour.

Financial Business Intelligence Analyst

TECHOAUTH SOLUTIONS LLC

Fort Worth, TX • Remote

Full-time

Medical, PTO

This job post has expired today. Applications are no longer accepted.

Job description

Benefits:
  • Bonus based on performance
  • Health insurance
  • Paid time off

As a Financial Business Intelligence Analyst, will leverage data analytics, financial modeling, and business intelligence tools to transform complex financial data into actionable insights. You will work cross-functionally with finance and IT teams to design dashboards, build ETL pipelines, and deliver intelligence reports that drive strategic decision-making for clients and internal stakeholders.

Job Responsibilities

Analyze large financial datasets to identify trends, patterns, and anomalies in revenue, cost, and investment performance using Python (Pandas, NumPy) and SQL
Design and develop interactive financial dashboards and reports using Power BI and Tableau for client decision-making and KPI tracking
Build and maintain ETL pipelines using SQL Server Integration Services (SSIS) to consolidate financial data from multiple source systems into centralized data warehouses
Perform variance analysis comparing actual vs. budgeted financial performance and present findings to client stakeholders
Develop quantitative models for portfolio performance analysis, asset allocation, and risk assessment applying Modern Portfolio Theory and statistical methods
Conduct scenario analysis and stress testing on financial models to evaluate investment strategies and risk exposure
Calculate and monitor risk metrics including Value at Risk (VaR), Sharpe Ratio, and drawdown analysis for client portfolios
Utilize Bloomberg Terminal data to support financial market analysis, equity research, and investment reporting
Write and optimize complex SQL queries, stored procedures, and views to support financial reporting environments
Translate business requirements from finance teams into technical BI specifications and deliver actionable financial intelligence reports
Document data definitions, business rules, and financial reporting standards for internal and client use
Collaborate with IT and finance teams to ensure data integrity and accuracy across SQL Server databases supporting financial reporting
Experience Required

3+ years experience in a financial analytics, business intelligence, or data analyst role experience in financial services or investment management is ideal
Proven track record of delivering end-to-end BI solutions, from gathering business requirements through deployment and stakeholder presentation
Strong understanding of financial concepts including P&L analysis, budgeting and forecasting, portfolio analytics, and risk management
Hands-on experience with ETL development and data warehouse architecture
Demonstrated ability to translate complex financial data into clear, visually compelling dashboards and reports
Experience working with large-scale relational databases and writing advanced SQL
Familiarity with Agile/Scrum development environments
Excellent analytical, communication, and organizational skills with the ability to present to both technical and non-technical audiences
Positive, solution-focused attitude with the ability to manage multiple priorities
Ability to influence key stakeholders on data-driven decisions
Customer or client-facing experience is a strong plus

Essential and Desirable Skills

Proficiency in Power BI (DAX, Power Query, data modeling) and Tableau for interactive dashboard development
Advanced SQL skills including stored procedures, CTEs, window functions, and query optimization on SQL Server
Experience with Python for data analysis (Pandas, NumPy, Matplotlib/Seaborn) and automation
Hands-on experience with SSIS for ETL pipeline development and data integration
Working knowledge of Bloomberg Terminal for financial data retrieval and market analysis
Knowledge of statistical methods and quantitative finance concepts (VaR, Sharpe Ratio, Monte Carlo simulation) is a strong plus
Familiarity with Excel-based financial modeling including VBA/macros
Experience with version control systems (Git) and CI/CD practices for BI deployments
Knowledge of cloud-based data platforms (Azure SQL, Azure Data Factory, AWS Redshift) is a plus
Working knowledge of Jira and Confluence for project tracking and documentation
Exposure to R, SAS, or MATLAB for advanced statistical analysis is desirable

Educational Requirements
Bachelors or Masters degree in Finance, Economics, Data Science, Statistics, Computer Science, Information Systems, or a related quantitative field.

This is a remote position.