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Full Time Fintech Analyst Jobs in California (NOW HIRING)

Sr Fraud Analyst

San Jose, CA · On-site

$140K - $165K/yr

San Jose, CA (Hybrid) | Full-Time Industry: Fintech For one of our Fortune client we are hiring for a high-impact Payments & Fraud Analytics role with a fast-paced analytics team focused on ...

Senior Payments Analyst

Burbank, CA · On-site

$115K - $140K/yr

Required Experience * 4+ years of progressive experience in payments, fintech, treasury, or bank ... Consumer Payments Employment Type: Full time Primary City, State, Region, Postal Code: Burbank, CA ...

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Full Time Fintech Analyst information

What does a full time fintech analyst do?

A Full Time Fintech Analyst is responsible for analyzing financial technology trends, evaluating fintech products and solutions, and providing insights to help businesses make data-driven decisions. They often work with large datasets, market research, and emerging technologies to assess risks, opportunities, and performance in the fintech sector. Their role may also involve creating reports, supporting business development, and collaborating with IT and finance teams to optimize financial processes through technology.

What are the key skills and qualifications needed to thrive as a full time fintech analyst?

To thrive as a Full Time Fintech Analyst, you need strong analytical abilities, financial modeling expertise, and a solid understanding of both finance and technology, usually supported by a relevant degree such as finance, economics, or computer science. Familiarity with data analysis tools like Excel, SQL, Python, and fintech platforms, as well as certifications like CFA or FRM, is often required. Exceptional problem-solving skills, attention to detail, and effective communication help analysts interpret data and convey insights to stakeholders. These competencies are crucial for driving data-driven decisions and fostering innovation in the fast-paced fintech industry.

How does a full time fintech analyst typically collaborate with cross-functional teams?

As a full-time Fintech Analyst, you’ll frequently work alongside teams such as product development, engineering, compliance, and marketing to analyze financial data, identify trends, and recommend solutions that align with business goals. Collaboration often involves participating in regular meetings, sharing insights from data analysis, and ensuring that your findings help inform product strategy or regulatory compliance. Building strong communication skills and understanding the priorities of different departments are key to successfully navigating these collaborations. This cross-functional teamwork not only enriches your perspective but also provides excellent opportunities for professional growth and exposure to various aspects of the fintech industry.

What is the difference between Full Time Fintech Analyst vs Part Time Fintech Analyst?

AspectFull Time Fintech AnalystPart Time Fintech Analyst
Work HoursTypically 35-40 hours per weekFewer hours, often less than 20 hours per week
Employment StatusFull-time employment with benefitsPart-time, usually without full benefits
ResponsibilitiesIn-depth analysis, project management, continuous engagementLimited scope, project-specific or support roles
CredentialsOften requires a bachelor's degree in finance, tech, or related fieldsSimilar credentials, but may accept less experience

Full Time Fintech Analysts work full-time, engaging in comprehensive financial technology projects, while Part Time Fintech Analysts contribute on a limited schedule, often focusing on specific tasks. The full-time role offers more stability and benefits, whereas part-time positions provide flexibility. Both roles typically require similar educational backgrounds and skills, but the scope and commitment differ significantly.

What are the most commonly searched types of Fintech Analyst jobs in California?

The most popular types of Fintech Analyst jobs in California are:

What are popular job titles related to Full Time Fintech Analyst jobs in California?

For Full Time Fintech Analyst jobs in California, the most frequently searched job titles are:

What job categories do people searching Full Time Fintech Analyst jobs in California look for?

The top searched job categories for Full Time Fintech Analyst jobs in California are:

What cities in California are hiring for Full Time Fintech Analyst jobs?

Cities in California with the most Full Time Fintech Analyst job openings:

Infographic showing various Full Time Fintech Analyst job openings in California as of August 2026, with employment types broken down into 84% Full Time, 10% Part Time, and 6% Contract. Highlights an 79% Physical, 8% Hybrid, and 13% Remote job distribution.

Senior Staff Credit Risk Analyst - Fintech

Mountain View, CA


Intuit
Computer and Electronic Product Manufacturing • 5 - 10K employees

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

107th of 246 rated software companies

People enjoy working here

Good employer

Recommended by students


Full-time

Re-posted 17 days ago


Job description

Intuit's Consumer Group, including TurboTax, empowers millions of individuals to take control of their finances. TurboTax simplifies tax preparation and enables our customers to file with confidence. We leverage data and insights to innovate and enhance our consumer offerings. Now, we are expanding our focus to Consumer Lending within the Consumer Group, including TurboTax, and require a strong performer to join our Credit Risk Analysts. This role will be crucial in supporting our consumer lending initiatives, while navigating the complexities of Fintech Risk, alongside our core tax preparation business. If you are passionate about building that drives results through data-driven insights in consumer lending spaces, and understands the unique risks within Fintech, this role is for you.


Responsibilities

  • Develop and implement credit risk strategies and policies and drive business growth by supporting and scaling strategies for consumer lending and banking portfolio
  • Develop & Enhance the credit Policy and program and establish a framework to ensure lending activities are in compliance with internal policies and regulatory requirements
  • Partner with teams across Intuit (including product development, marketing, data engineering, compliance, risk , data scientists etc.) to enable decision support and key customer insights in the consumer banking risk and analytics spaces.
  • Collaborate with stakeholders and analysts to ensure analytical & risk solutions are scalable, repeatable, effective, and meet expectations of various stakeholders in the consumer lending area.
  • Use big data technology to mine massive scale transactional data to improve credit risk strategies for consumer lending and banking and design new risk-adjusted policy proposals.
  • Improve the current customer experience in consumer banking by deploying risk mitigations enabling product feature expansion to industry standard.
  • Provide recommendations utilizing multiple types of data, business knowledge, and strategic assumptions when data doesn't exist, specifically in the consumer lending context.
  • Analyze portfolio performance at a granular segment level on an ongoing basis. Identify trends and conduct root-cause analysis to isolate key performance drivers
  • Ensure data collection and data processing is optimized to provide crystal-clear visibility into the impact and value of new consumer lending initiatives and product releases.
  • Mentor, coach, and develop Risk Analysts to drive creative ideas, use of the latest data techniques, and elevate outcomes within consumer lending.
  • Identify and evaluate new vendors / data sources and create business cases to enhance risk policies

Qualifications

Experience & Leadership


  • Proven leader in the data and risk space with 10+ years of experience driving cross-team collaboration and business requirement clarity, particularly in consumer lending.
  • Domain expertise in FinTech, Risk, and Financial services, with a specific focus on Consumer Lending.
  • Demonstrated history of highly effective cross-functional leadership in large matrixed organizations, aligning stakeholders and launching product features in fast-paced environments.
  • Outstanding communication skills, with the ability to tell compelling stories with data to both technical and non-technical audiences.
  • Strong strategic mindset combined with a willing 'roll up your sleeves' attitude and a commitment to coaching team members.
  • Proactive self-starter with excellent problem-solving skills and end-to-end quantitative thinking.
  • Strong organization and task prioritization skills, with the ability to manage multiple projects to meet key objectives.


Technical Expertise 


  • Expertise in analytics tools such as Python, R, SAS, and SQL environments.
  • Experience working with BI tools including Tableau, QuickSight, and Databricks.
  • Analytically minded with experience managing large-scale data projects; product management experience is a significant plus.
  • Undergraduate degree in Economics, Statistics, Engineering, or a related field required; an advanced degree is preferred.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: 



Employment Type: Full-Time


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