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Fintech Data Science Jobs in Austin, TX (NOW HIRING)

Solutions Engineer

Austin, TX · On-site

$89.09 - $111.36/hr

WHO WE ARE Apex Fintech Solutions (Apex) powers innovation and the future of digital wealth ... Real-Time Data Processing: Familiarity with Apache Kafka, AWS Kinesis, or Google Pub/Sub is ...

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 ...

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 ...

Revenue Strategy Analyst

Austin, TX · On-site

$78.20 - $97.75/hr

... FinTech is essential. * Minimum of two years' experience in business analysis, financial analysis, operations, reporting, data analytics, data science, or a related field. * Proven experience in ...

Risk Analytics Manager

Austin, TX · On-site

$100 - $130/hr

This hands‑on role will report directly to the VP of Risk Data Science and Analytics ... Fintech or Payments industry. * Familiarity with card payments or banking/finance industry ...

New

Platform Engineer

Austin, TX · On-site

$120 - $160/hr

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 ...

Staff Data Engineer

Austin, TX · On-site

$113K - $136K/yr

... fintech sector. They collaborate with cross-functional teams such as product managers, designers, data scientists, QA, operations, and compliance to translate business requirements into robust ...

Staff Data Engineer

Austin, TX · On-site

$113K - $136K/yr

... fintech sector. They collaborate with cross-functional teams such as product managers, designers, data scientists, QA, operations, and compliance to translate business requirements into robust ...

Staff Data Engineer

Austin, TX · On-site

$113K - $136K/yr

... fintech sector. They collaborate with cross-functional teams such as product managers, designers, data scientists, QA, operations, and compliance to translate business requirements into robust ...

A global fintech leader, Acrisure empowers millions of ambitious businesses and individuals with ... Have a Bachelor's degree in Computer Science, Math, Statistics, Business, or related field, or ...

Showing results 21-40

Fintech Data Science information

See Austin, TX salary details

$37.2K

$121.7K

$194.8K

How much do fintech data science jobs pay per year?

As of Sep 3, 2026, the average yearly pay for fintech data science in Austin, TX is $121,659.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,600.00 and $134,800.00 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 cities near Austin, TX are hiring for Fintech Data Science jobs?

Cities near Austin, TX with the most Fintech Data Science job openings:

Infographic showing various Fintech Data Science job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $121,659 per year, or $58.5 per hour.

Sr Database Administrator - Postgres/MongoDB

Apex Fintech Solutions

Austin, TX • On-site

$49.25 - $68/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 19 days ago


Job description

WHO WE ARE

Apex Fintech Solutions (Apex) powers innovation and the future of digital wealth management by building tech-forward solutions that help simplify, automate, and facilitate access to financial markets for all. Our robust suite of fintech software enables us to support clients such as Stash, Betterment, SoFi, Webull, and eToro, amongst many others; collectively, Apex powers access to the stock market for over 22+ million end customers.

At Apex, we are changing how the securities industry operates by reinventing the status quo, which was manual, slow, and accessible only by the ultra-wealthy. We're digitizing and democratizing systems so that everyone has an opportunity to invest.

When you're at Apex, you drive this change. You're part of a global team with a clear vision: to be the trusted technology that powers the digital economy. Our offices in Austin, Dallas, Chicago, New York, Portland, Belfast, and Manila are home to over 1,000 employees.

Together, we're shaping the future of financial innovation. Embrace change. Solve big. Win together. And be G.R.E.A.T. - grit, results, empathy, accountability, and teamwork - with Apex.

We're proud to be recognized for the innovative work we do, the purpose-driven nature of our work, and the collaborative culture we've created. Here are just a few of the many awards we've recently received:

Best Places to Work

2026, 2025, 2024, 2023- Presented by BuiltIn

WealthTech of the Year

2025- Presented by US FinTech Awards

The World's Top 250 Fintech Companies

2024- Presented by CNBC

ABOUT THIS ROLE

Apex Fintech Solutions is seeking a highly motivated and experiencedSenior Database Administrator (DBA)to join our team. This individual must have strong database engineering and problem-solving skills, with the ability to work independently in a fast-paced and high-volume database environment in GCP managed databases (Cloud SQL Postgres, Memorystore for Redis/Valkey, AlloyDB, Spanner, BigQuery). The Senior DBA will play a critical role in administering, maintaining, optimizing, and supporting our database systems, ensuring data integrity, performance, and availability. This includes working on both physical and Google Cloud Platform (GCP) native infrastructures. The ideal candidate will have extensive experience with Postgres Server and working with modern cloud-native database solutions such as GCP CloudSQL PostgreSQL, Redis and BigQuery. In addition to hands-on technical expertise, the role also requires strong collaboration skills, operational support, and contributions to strategic database initiatives. Furthermore, the Senior DBA is expected to embrace DevOps practices by automating database operations, implementing Infrastructure-as-Code (IaC) for provisioning and maintaining database environments, managing CI/CD pipelines for database changes, monitoring and alerting using modern tools, and collaborating closely with engineering teams to ensure seamless integration of database systems within the software development lifecycle. A proactive mindset towards continuous improvement, scalability, and reliability in line with DevOps principles is key to succeeding in this role.


Duties/Responsibilities

  • Administer and optimize highvolume MongoDB and PostgreSQL systems (including Cloud SQL) in highly available environments.
  • Design and own Terraform modules for GCP databases: Cloud SQL (PostgreSQL), Memorystore (Redis/Valkey), AlloyDB, Spanner, and BigQuery.
  • Manage large transactional replication with lowlatency delivery; use BigQuery as a replication target and tune performance/cost.
  • Implement database changes via IaC (Terraform with GitHub PRs) following performance, security, and reliability best practices.
  • Establish backup/restore, PITR, HA/failover testing, DR runbooks, and an overall database support plan.
  • Collaborate with engineering teams on schema reviews, query optimization, and BigQuery governance.
  • Handle security and audit tasks; respond to support requests and data change needs promptly.
  • Support incident response and participate in oncall rotations (including offhours, Central Time) and scheduled maintenance such as patching, large data scripts, VLDB index work, and DR testing.

Education and/or Experience

  • Bachelor's degree in Computer Science, Computer Engineering (or equivalent work experience) required
  • 8+ years of prior work experience
  • Experience in administering and optimizing MongoDB, PostgreSQL Server environments, including expertise in transactional replication.
  • Experience with GCP CloudSQL PostgreSQL and knowledge of PostgreSQL database management.
  • Experience in Memorystore for Redis, AlloyDB, Spanner and BigQuery preferred.
  • Experience with other cloud-based database technologies or platforms, such as Azure SQL or AWS RDS, preferred.
  • Experience with Infrastructure as Code tools such as Terraform and version control systems like GitHub for managing database infrastructure changes.
  • Experience with high-availability architectures, disaster recovery planning, and execution.

Required Skills/Abilities

  • Ability to work independently and manage multiple priorities in a fast-paced environment.
  • Excellent verbal and written communication skills.
  • Strong analytical and troubleshooting skills with attention to detail.
  • Strong collaboration skills and the ability to work effectively with cross-functional teams.
  • Expertise in Memorystore for Redis, AlloyDB, Spanner and BigQuery preffered.
  • Familiarity with cloud-based database systems, preferably Google Cloud Platform (GCP).
  • Familiarity with DevOps methodologies, Terraform and CI/CD pipelines.
  • Knowledge of GCP BigQuery, including performance tuning and administrative capabilities.
  • Knowledge of programming and scripting knowledge for automation.
  • Willingness to provide on-call and off-hours technical support as required.

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

Our Rewards

We offer a robust package of employee perks and benefits, including healthcare benefits (medical, dental and vision, EAP), competitive PTO, 401k match, parental leave, and HSA contribution match. We also provide our employees with a paid subscription to the Calm app and offer generous external learning and tuition reimbursement benefits. At AFS, we offer a hybrid work schedule for most roles that allows employees to have the flexibility of working from home and one of our primary offices.

EEO Statement

Apex Fintech Solutions is an equal opportunity employer that does not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, veteran status, marital status, or any other protected characteristic. Our hiring practices ensure that all qualified applicants receive fair consideration without regard to these characteristics.

Disability Statement

Apex Fintech Solutions is committed to creating an inclusive and accessible workplace for all candidates, including those with disabilities. We are dedicated to ensuring equal employment opportunities and providing reasonable accommodations to qualified individuals with disabilities. If you require reasonable accommodations to participate in the application or interview process, please submit your request via the Candidate Accommodation Requests Form. We will work with you to provide the necessary accommodations to ensure your full participation in our hiring process.