ZipRecruiter

Log In

1

Fintech Data Science Jobs in Texas (NOW HIRING)

CertifID LLC

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Partner with data science, engineering, Revenue Operations, and executive stakeholders to define ... Experience in fintech, cybersecurity, or fraud prevention . * Familiarity with data privacy ...

Apex Fintech Solutions

Platform Engineer

Austin, TX · On-site

WHO WE ARE Apex Fintech Solutions (Apex) powers innovation and the future of digital wealth ... Exposure to data orchestration platforms (e.g., Apache Airflow) is a plus * Experience with ...

PEAK6

Product Manager I (Trading)

Fort Worth, TX · On-site

... Data Science, Finance, or a related field. 2-4 years of product management experience in technology settings; fintech, brokerage, or capital markets experience strongly preferred. Proven success ...

previous page

Showing results 41-60

All JobsFintech Data Science JobsFintech Data Science Jobs in Texas

Fintech Data Science information

See Texas salary details

$34.9K

$114.3K

$183.1K

How much do fintech data science jobs pay per year?

As of Sep 12, 2026, the average yearly pay for fintech data science in Texas is $114,350.00, 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 is a fintech data scientist?

A Fintech Data Scientist is a professional who uses data analysis, machine learning, and statistical techniques to solve problems and create value within the financial technology (fintech) industry. They work with large amounts of financial data to develop predictive models, detect fraud, assess risk, and optimize financial products or services. Their expertise combines knowledge of finance, programming, and advanced analytics to help fintech companies make data-driven decisions and innovate in areas such as payments, lending, and investment. Fintech Data Scientists often collaborate with engineers, product managers, and business stakeholders to deliver actionable insights that drive business growth.

What are the key skills and qualifications needed to thrive as a fintech data scientist?

To thrive as a Fintech Data Scientist, you need a strong background in statistics, machine learning, and programming (often with a degree in computer science, mathematics, or a related field). Familiarity with tools such as Python, R, SQL, cloud computing platforms, and experience with financial data modeling or relevant certifications are typically required. Strong problem-solving skills, attention to detail, and effective communication are important soft skills that set top professionals apart. These skills and qualities are vital for extracting actionable insights from complex financial data, driving innovation, and ensuring regulatory compliance in the fast-evolving fintech industry.

How do fintech data scientists typically collaborate with product and engineering teams to develop new financial products?

In fintech, data scientists often work closely with product managers and engineering teams throughout the lifecycle of a financial product. They analyze user data and market trends to provide actionable insights during the product design phase, and collaborate with engineers to implement machine learning models into the product infrastructure. Regular cross-functional meetings and agile workflows are common, allowing data scientists to iterate on models based on feedback and evolving requirements. This collaborative environment ensures that data-driven solutions are robust, scalable, and aligned with business goals.

What is the difference between Fintech Data Science vs Fintech Data Analyst?

AspectFintech Data ScienceFintech Data Analyst
Required SkillsAdvanced statistical, programming, and machine learning skillsData interpretation, reporting, and basic analytics
CertificationsData Science certifications, programming coursesData analysis or business intelligence certifications
Work EnvironmentDeveloping models, algorithms, and predictive analyticsData reporting, dashboards, and data cleaning
Industry UsageCreating predictive models for risk, fraud detection, and customer insightsGenerating reports, supporting decision-making with data

Fintech Data Science involves building complex models and applying machine learning techniques, requiring advanced skills and certifications. Fintech Data Analysts focus on interpreting data, creating reports, and supporting business decisions with less technical complexity. Both roles are essential in the fintech industry but differ in technical depth and responsibilities.

Is data science good for fintech?

Data science is highly valuable in fintech, as it enables the development of algorithms for risk assessment, fraud detection, and personalized financial services. Fintech companies often rely on data analysis, machine learning, and statistical modeling to improve decision-making and customer experience. Skills in programming, data manipulation, and financial knowledge are essential for data scientists in this field.

Is fintech data science a high paying career?

Fintech data science is generally a high-paying career due to the demand for advanced analytics and machine learning skills in financial technology companies. Salaries often depend on experience, education, and technical expertise in tools like Python, R, and SQL, with senior roles earning significantly more. The field offers competitive compensation compared to many other data science roles across industries.

What are popular job titles related to Fintech Data Science jobs in Texas?

For Fintech Data Science jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Fintech Data Science jobs in Texas look for?

The top searched job categories for Fintech Data Science jobs in Texas are:

What cities in Texas are hiring for Fintech Data Science jobs?

Cities in Texas with the most Fintech Data Science job openings:

Fintech Data Science jobs near you
Infographic showing various Fintech Data Science job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $114,350 per year, or $55 per hour.

Senior Director, Credit Risk Management

Richardson, TX • On-site, Remote

RealPage, Inc.
Software Development • 5 - 10K employees
Learn more about RealPage, Inc.external

$140K - $239K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 18 days ago

RealPage rating

6.0

Company rating: 6.0 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

Job description

Overview
We are seeking an experienced Senior Director of Credit Risk Management to lead the credit risk function for our payments and fintech platform. This role owns the strategy, policies, and infrastructure that manage counterparty, merchant, and transactional credit exposure across our payment products - including merchant acquiring, lending, and embedded finance offerings. The ideal candidate combines deep quantitative credit risk expertise with hands-on leadership of underwriting, portfolio monitoring, and loss mitigation teams, and partners closely with Product, Data Science, Finance, Compliance, and Operations to balance growth with prudent risk management.
Responsibilities
  • Own the end-to-end credit risk strategy for the company's payments and fintech portfolio, including merchant/counterparty underwriting, exposure limits, reserve requirements, and loss forecasting.
  • Design, implement, and continuously refine credit risk policies, scorecards, and underwriting models to balance risk appetite with revenue and conversion goals.
  • Build and lead a high-performing team of credit risk managers and analysts; set goals, coach performance, and develop talent.
  • Monitor portfolio performance (delinquency, chargebacks, default rates, loss ratios) and proactively identify emerging risk trends across merchant segments, verticals, and payment products.
  • Partner with Data Science/Analytics to develop and validate credit scoring models, machine-learning underwriting tools, and early-warning indicators.
  • Set and manage credit risk appetite, exposure limits, and reserve/collateral policies in partnership with Finance and Treasury.
  • Lead loss mitigation, collections strategy, and workout processes for delinquent or high-risk accounts.
  • Present credit risk metrics, portfolio health, and key decisions to executive leadership, Risk Committee, and the Board as needed.
  • Ensure credit risk practices comply with applicable regulatory requirements (e.g., card network rules, BSA/AML-adjacent controls, state lending regulations) in partnership with Legal and Compliance.
  • Own credit risk components of due diligence for new products, partnerships, and market expansion, including BNPL, embedded lending, and merchant cash advance offerings.
  • Drive automation and scalability of credit underwriting and monitoring processes to support rapid business growth.
  • Manage relationships with external data providers, bureaus, and risk technology vendors.

Qualifications
  • 12+ years of progressive experience in credit risk management, with at least 5-7 years in a senior leadership role; payments, fintech, card issuing/acquiring, or commercial lending background strongly preferred.
  • Bachelor's degree in Finance, Economics, Statistics, or related field required; MBA or advanced quantitative degree a plus.

KNOWLEDGE/SKILLS/ABILITIES
  • Proven experience building or scaling a credit risk function, including underwriting frameworks, portfolio monitoring, and loss mitigation at a high-growth or transaction-volume business.
  • Strong quantitative background: experience with credit scoring models, statistical/ML-based underwriting, and portfolio risk analytics.
  • Track record of managing exposure and losses across a merchant or borrower portfolio, including chargeback/dispute risk, fraud-adjacent losses, and counterparty default.
  • Deep understanding of payments ecosystem dynamics (card networks, ACH, merchant acquiring, or lending) and related regulatory frameworks.
  • Demonstrated people leadership: hiring, developing, and managing credit risk or underwriting teams.
  • Excellent executive communication skills, with experience presenting to senior leadership, Risk Committees, or Boards.
  • Experience with SQL, Python, R, or similar tools for risk analytics preferred.

SALARY AND BENEFITS
RealPage provides a competitive salary package along with a comprehensive benefit plan that includes:
  • Health, dental, and vision insurance.
  • Retirement savings plan with company match.
  • Paid time off and holidays.
  • Professional development opportunities.
  • Performance-based bonus based on position.

#LI-AS2
#LI-REMOTE
Compensation may vary depending on your location, qualifications including job-related education, training, experience, licensure, and certification, that could result at a level outside of these ranges. Certain roles are eligible for additional rewards, including annual bonus, and sales incentives depending on the terms of the applicable plan and role as well as individual performance.
Equal Opportunity Employer: RealPage Company is an equal opportunity employer and committed to creating an inclusive environment for all employees.
Pay Range
USD $140,600.00 - USD $239,400.00 /Yr.

What RealPage employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply