1

Fintech Data Scientist Jobs in Arizona (NOW HIRING)

Data Scientist (AHL)

Tempe, AZ · On-site

$140K - $160K/yr

Since 2002, Achieve has grown into one of the largest private consumer fintech unicorns in the U.S ... As a Data Scientist (potential uplevel to Sr. Data Scientist for the right experience) , you'll ...

Since 2002, Achieve has grown into one of the largest private consumer fintech unicorns in the U.S ... As a Data Scientist (potential uplevel to Sr. Data Scientist for the right experience) , you'll ...

Since 2002, Achieve has grown into one of the largest private consumer fintech unicorns in the U.S ... As a Data Scientist (potential uplevel to Sr. Data Scientist for the right experience) , you'll ...

Data Scientist (AHL)

Tempe, AZ · On-site

$140K - $160K/yr

Since 2002, Achieve has grown into one of the largest private consumer fintech unicorns in the U.S ... As a Data Scientist (potential uplevel to Sr. Data Scientist for the right experience) , you'll ...

Skills that will help you thrive * 2-3+ years of work experience in fintech, finance, or another ... data science and business strategy. Resources to help you prosper * A connected experience: We ...

Data Test Engineer

Tempe, AZ · On-site

$120K - $140K/yr

Since 2002, Achieve has grown into one of the largest private consumer fintech unicorns in the U.S ... in Computer Science, Information Systems, Engineering, or related technical discipline (or ...

Since 2002, Achieve has grown into one of the largest private consumer fintech unicorns in the U.S ... in Computer Science, Information Systems, Engineering, or related technical discipline (or ...

Data Test Engineer

Tempe, AZ · On-site

$120K - $140K/yr

Since 2002, Achieve has grown into one of the largest private consumer fintech unicorns in the U.S ... in Computer Science, Information Systems, Engineering, or related technical discipline (or ...

Java AI Developer

Phoenix, AZ · On-site

$50.25 - $65/hr

Experience working in Banking, Financial Services, FinTech, or highly regulated environments is ... Collaborate with Product Managers, Architects, and Data Science teams to deliver AI-driven business ...

Yrefy is a private fintech company specializing in assisting borrowers with student loans. The ... Required : • Bachelor's degree in computer science, Information Systems, Data Engineering, or a ...

Cloud Architect

Tempe, AZ · On-site

$63.25 - $80.50/hr

... platform Architectures, Data Architectures, API Strategies, Building Enterprise Solution ... Min Requirements: • Preferably a BS or MS degree in computer science, computer engineering, or ...

next page

Showing results 1-20

Fintech Data Scientist information

See Arizona salary details

$34.9K

$114.4K

$183.1K

How much do fintech data scientist jobs pay per year?

As of Aug 26, 2026, the average yearly pay for fintech data scientist in Arizona is $114,378.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,800.00 and $126,700.00 per year, depending on experience, location, and employer.

What does a Fintech Data Scientist do?

A Fintech Data Scientist applies data science techniques to financial technology (fintech) challenges, such as fraud detection, credit risk modeling, algorithmic trading, and personalized financial recommendations. They analyze large datasets, develop machine learning models, and collaborate with engineers and business teams to optimize financial products and services. Their role requires expertise in statistics, programming (Python, R, SQL), and industry-specific knowledge to drive data-driven decision-making.

What are typical daily tasks and team collaborations for a Fintech Data Scientist?

Fintech Data Scientists typically spend their days analyzing large volumes of financial data, developing predictive models to assess risk or identify trends, and presenting findings to both technical and non-technical stakeholders. You’ll often work closely with software engineers, product managers, and business analysts to design, implement, and optimize data-driven solutions. Collaboration is key, as many projects require input from cross-functional teams, and clear communication ensures your insights drive product and business decisions. Expect a dynamic work environment where priorities can shift quickly, keeping the role both challenging and engaging.

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

To thrive as a Fintech Data Scientist, you need deep expertise in quantitative analysis, machine learning, and financial data modeling, usually supported by a degree in a quantitative field such as mathematics, statistics, or computer science. Familiarity with programming languages like Python or R, experience with data visualization tools, and knowledge of cloud-based analytics platforms are commonly required, while certifications such as CFA or data science credentials can be beneficial. Strong problem-solving skills, communication abilities, and business acumen help differentiate top performers in this position. These skills and qualities are essential to extract valuable insights from complex financial datasets, inform strategic decisions, and drive innovation in the fast-evolving fintech industry.

Is data science good for fintech?

Data science is highly valuable for fintech, as it enables the development of advanced algorithms for risk assessment, fraud detection, and personalized financial services. Fintech companies often rely on data scientists to analyze large datasets, use machine learning tools, and improve decision-making processes to stay competitive in the industry.

Is fintech a high paying career?

Fintech data scientists typically earn higher salaries compared to many other data science roles due to the industry's fast growth and demand for specialized skills like machine learning and financial modeling. Salaries can vary based on experience, location, and company size, but they generally offer competitive compensation packages within the tech and finance sectors.

What are the most commonly searched types of Fintech Data Scientist jobs in Arizona?

The most popular types of Fintech Data Scientist jobs in Arizona are:

What are popular job titles related to Fintech Data Scientist jobs in Arizona?

For Fintech Data Scientist jobs in Arizona, the most frequently searched job titles are:

Infographic showing various Fintech Data Scientist job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 10% Part Time, 2% Temporary, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $114,378 per year, or $55 per hour.

Data Scientist (AHL)

Tempe, AZ • On-site

$140K - $160K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 26 days ago


Job description

Company Description

Achieve is a leading digital personal finance company. We help everyday people move from struggling to thriving by providing innovative, personalized financial solutions. By leveraging proprietary data and analytics, our solutions are tailored for each step of our member's financial journey to include personal loans, home equity loans, debt consolidation, financial tools and education. Every day, we get to help our members move their finances forward with care, compassion, and empathetic touch. We put people first and treat them like humans, not account numbers.

Since 2002, Achieve has grown into one of the largest private consumer fintech unicorns in the U.S., with over $40B in enrollments for our industry-leading, tech-enabled debt resolution services business, and over $11Bn in personal and home loans originations via our banking-as-a-service partner.

Job Description

As a Data Scientist (potential uplevel to Sr. Data Scientist for the right experience), you'll impact the lives of everyday people and help them go from surviving to thriving with innovative digital personal finance solutions. You will focus on developing and deploying predictive and descriptive models throughout the customer lifecycle, including machine learning models. Additionally, you will conduct strategic analytics and develop BI to monitor program results.  You will serve as a strategic thought partner for leaders throughout the company, helping them in identifying and exploiting opportunities where modeling and analytics can add value. 

What you'll do:

  • Conduct deep-dive analytics on strategic initiatives
  • Access data, run analytics models, solve business problems.
  • Understand an influence the pillars of conceptual risk modeling
  • Establish and maintain relationships with internal stakeholders.
  • Serve as a strategic thought partner for other members of the Data Science team
Qualifications

What you'll bring:

  • 1-2+ years of experience as a professional data scientist. This is a must.  (Experience in a regulated industry like banking with hands-on compliance work is a plus).
  • Excellent risk modeling and analytic skills. 
  • Proficient coding skills in SQL and Python/R.
  • Experience developing BI dashboards using Tableau is a plus
  • Keen eye for opportunities to get value from data.
  • Ambitious, resourceful, and possessed of excellent judgment as evidenced by steadily growing professional responsibility.
  • Strong organizational skills with an ability to manage multiple projects at any given time.
  • Strong verbal and written communication skills.  In particular, be able to convert highly technical concepts and results into easily understood business value proposition.
  • Demonstrated ability to work independently as a self-starter.
  • Education in a "hard" quantitative field (e.g. Math, Stats, Economics, Operations Research, etc.), with evidence of outstanding academic achievement. This is a must.
  • Ideal candidates will have an advanced degree (>= MS), although professional experience and achievement are more important.

Preferred:

  • Experience in consumer lending domain (secured/unsecured loans, credit cards, etc.) or fintech lending environment.
  • Experience with credit risk modeling (development & monitoring) and loss/prepayment forecasting.
  • Experience working with credit decisioning engines such as Oscilar, TakTile etc. will be a plus.
  • Experience working with capital markets and servicing businesses.
  • Knowledge or working experience in loan-level economics, yield curves, margins/profitability, etc.
  • Experience working in the GCP environment.
  • A Passion for fintech, agile environment, ability to work both independently and in a collaborative, fast-paced team.
Additional Information

All your information will be kept confidential according to EEO guidelines.

Achieve well-being with:

  • 401 (k) with employer match
  • Medical, dental, and vision with HSA and FSA options  
  • Competitive vacation and sick time off, as well as dedicated volunteer days
  • Access to wellness support through Employee Assistance Program, physical and mental health wellness programs
  • Pet care discounts for your furry family members
  • Financial support in times of hardship with our Achieve Care Fund
  • A safe place to connect and a commitment to diversity and inclusion through our six employee resource groups

We are proudly offering hybrid options in the San Mateo, CA and Phoenix, AZ metro market. In other locations throughout the country, we offer work from home.

Salary Range: $140,000 - $160,000 + bonus + benefits. 

This information represents the expected salary range for this role. Should we decide to make an offer for employment, we'll consider your location, experience, and other job-related factors.

Join Achieve, change the future.

At Achieve, we're changing millions of lives.
From the single parent trying to catch up on bills to the entrepreneur needing a loan for the next phase of growth, you'll get to be a part of their journey to a better financial future. We're proud to have over 3,000 employees in mostly hybrid and 100% remote roles across the United States with hubs in Arizona, California, and Texas. We are strategically growing our teams with more remote, work-from-home opportunities every day to better serve our members. A career at Achieve is more than a job-it's a place where you can make a true impact, have a sense of belonging, establish a fulfilling career, and put your well-being first.

Attention Agencies & Search Firms: We do not accept unsolicited candidate resumes or profiles. Please do not reach out to anyone within Achieve to market your services or candidates. All inquiries should be directed to Talent Acquisition only. We reserve the right to hire any candidates sent unsolicited and will not pay any fees without a contract signed by Achieve's Talent Acquisition leader.

#LI-KV1