1

Business Analyst Fintech Jobs (NOW HIRING)

JCW is working with a leading financial services organization to place a Business Analyst on a ... What you'll bring: * 2-4+ years of BA experience in banking, fintech, or a regulated digital ...

Business Analyst One of Airetel Staffing's valued clients is looking for a Business Analyst located ... Fintech and payments environment. This position supports governance and risk management objectives ...

Mandatory Skills: (i)experience as a Business Analyst in banking, payments, or fintech. (ii)Hands-on experience with Real-Time Payments (RTP) platforms - e.g., The Clearing House RTP, FedNow, or ...

Business Analyst With Experience In Fintech, Working With Payments Top 3 Must Have's: 1. 8+ years of Payments/Fintech experience 2. Experience in ISO20022 and MT messages 3. SQL experience JD:

Ww are seeking a motivated Business Analyst - Banking Domain to support banking technology ... fintech systems Understanding of banking operations such as deposits, payments, loans, customer ...

next page

Showing results 1-20

Business Analyst Fintech information

See salary details

$17

$47

$71

How much do business analyst fintech jobs pay per hour?

As of Jun 16, 2026, the average hourly pay for business analyst fintech in the United States is $47.43, according to ZipRecruiter salary data. Most workers in this role earn between $35.58 and $59.38 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Business Analyst Fintech position, and why are they important?

To thrive as a Business Analyst Fintech, you need strong analytical skills, a foundation in finance or business, and relevant qualifications like a bachelor's degree in finance, business, or information systems. Familiarity with fintech platforms, data analytics tools (such as SQL and Tableau), and knowledge of regulatory standards or related certifications (like CBAP or PMP) are valuable. Excellent communication, problem-solving capabilities, and stakeholder management set top candidates apart. These skills and qualities are crucial for interpreting data, optimizing financial processes, and collaborating effectively in a technology-driven, rapidly evolving sector.

What are the typical day-to-day responsibilities of a Business Analyst in a fintech company?

A Business Analyst in a fintech company typically spends their days collecting and analyzing financial and operational data, mapping business processes, and gathering requirements from stakeholders. They often collaborate closely with developers, product managers, and compliance teams to design or enhance technology-driven financial products. The role frequently involves preparing reports, creating business cases, and supporting testing or implementation of new features. This day-to-day work is dynamic and requires adaptability, attention to detail, and ongoing communication with both technical and non-technical colleagues.

What is the definition of a business?

A business is an organization or entity engaged in commercial, industrial, or professional activities with the goal of generating profit. Business analysts in fintech often evaluate operational processes, financial data, and market trends to improve efficiency and support strategic decision-making.

What are the 4 types of business?

The four main types of business are sole proprietorships, partnerships, corporations, and limited liability companies (LLCs). Business analysts in fintech often work with these structures to understand organizational needs, compliance, and financial models. Knowledge of different business types helps analysts recommend suitable strategies and solutions.

What is a Business Analyst Fintech job?

A Business Analyst in Fintech analyzes business needs, processes, and data to recommend technology-driven solutions in the financial sector. They work with stakeholders to gather requirements, identify inefficiencies, and improve financial products and services. Their role often involves bridging the gap between business and IT teams, ensuring projects align with company goals. Key skills include data analysis, process modeling, and regulatory knowledge.

What is the best business to start with $10,000?

A Business Analyst in fintech can leverage $10,000 to start a consulting firm, develop financial technology tools, or invest in niche market research. Success depends on skills in data analysis, financial modeling, and understanding regulatory environments, with low overhead costs and scalable options available.

Is it bussines or business?

The correct spelling is 'business.' In the context of a Business Analyst Fintech role, understanding the term 'business' is essential, as it relates to analyzing company operations, financial services, and industry processes. Proper spelling ensures clear communication in resumes, reports, and professional interactions.
More about Business Analyst Fintech jobs
What cities are hiring for Business Analyst Fintech jobs? Cities with the most Business Analyst Fintech job openings:
What states have the most Business Analyst Fintech jobs? States with the most job openings for Business Analyst Fintech jobs include:
Infographic showing various Business Analyst Fintech job openings in the United States as of June 2026, with employment types broken down into 6% As Needed, 6% Full Time, and 88% Part Time. Highlights an 81% Physical, 8% Hybrid, and 11% Remote job distribution, with an average salary of $98,662 per year, or $47.4 per hour.
Fraud & Risk Data Analyst Fintech & Data Insights *** Direct End Client ***

Fraud & Risk Data Analyst Fintech & Data Insights *** Direct End Client ***

Projas Technologies, LLC

Mountain View, CA

Other

Posted 18 days ago


Job description

Staff Fraud & Risk Analyst Fintech & Data Insights

As a Fraud & Risk Data Analyst, you ll work at the intersection of analytics, compliance, and product innovation. This role is part of a dynamic Risk Insights and Experimentation team that influences billions of dollars in transactions annually. You ll partner with cross-functional teams to uncover insights, design experiments, and shape strategies that drive secure, scalable growth.

Domain expertise in Security, Risk & Fraud in Fintech space (consumer Lending, Fraud & Risk Policy, Compliance, Marketing, Product, Finance is required)


Key Responsibilities:
  • Deliver clear, persuasive insights to senior leadership through data storytelling and executive-ready reports.
  • Build intuitive dashboards and visualizations that guide strategic and operational decisions.
  • Design and interpret A/B tests to optimize product performance and risk strategies.
  • Collaborate with product, compliance, finance, and data science teams to define scalable analytics frameworks.
  • Analyze large-scale transactional and behavioral data to detect trends, anomalies, and fraud patterns.
  • Evaluate compliance effectiveness and recommend improvements to onboarding and remediation flows.
  • Translate ambiguous business questions into structured analytical approaches using SQL, Python, and visualization tools.
  • Investigate root causes of performance gaps and propose timely corrective actions.
  • Maintain clean, reliable data pipelines and address data quality issues proactively.

Qualifications:
  • 6+ years in analytics, data science, or decision strategy roles, ideally in Financial Services or Fintech.
  • Advanced SQL skills and working knowledge of Python for data manipulation and automation.
  • Experience with data visualization tools (Tableau, Quicksight, Qlik) and dashboard development.
  • Strong understanding of A/B testing principles and experimental design.
  • Proven ability to influence decisions through data-driven recommendations.
  • Excellent communication skills for translating complex data into actionable insights.
  • Bachelor s degree in a quantitative field (Economics, Math, Science) or equivalent experience.

fraud analyst, risk analyst, fintech analytics, SQL, Python, A/B testing, data visualization, Tableau, Quicksight, Qlik, compliance analytics, risk management, dashboard development, data science, financial services, experimentation, policy analytics, fraud detection, risk strategy, KPIs, OKRs, data storytelling