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

... fintech. * Professional Growth : We invest in our employees' growth with continuous learning ... Requirements * 4-7 years of experience in Data Science and the Financial Industry, preferably in ...

Senior Data Scientist

Plano, TX ยท On-site

$120 - $180/hr

... fintech. * Professional Growth : We invest in our employees' growth with continuous learning ... Master's degree in mathematics, statistics, computer science, or data science. * Experience in ...

... fintech. * Professional Growth : We invest in our employees' growth with continuous learning ... Requirements * 4-7 years of experience in Data Science and the Financial Industry, preferably in ...

... fintech. * Professional Growth : We invest in our employees' growth with continuous learning ... Requirements * 4-7 years of experience in Data Science and the Financial Industry, preferably in ...

Degree in Data Science, Applied Mathematics, Statistics, Economics, Computer Science or a related field * 4-6 years of experience in fraud, risk, or analytics, preferably in fintech, lending, or ...

... Data Science as needed to resolve escalations timely and consistently. * Support fraud incident ... fintech, banking, merchant acquiring, SaaS, marketplace, or digital platform environments.

Trust and Safety Analyst

Richardson, TX ยท On-site +1

$70K - $120K/yr

... Data Science as needed to resolve escalations timely and consistently. * Support fraud incident ... fintech, banking, merchant acquiring, SaaS, marketplace, or digital platform environments.

... Data Science as needed to resolve escalations timely and consistently. * Support fraud incident ... fintech, banking, merchant acquiring, SaaS, marketplace, or digital platform environments.

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Showing results 1-20

Fintech Data Science information

See Dallas, TX salary details

$37.3K

$121.9K

$195.2K

How much do fintech data science jobs pay per year?

As of Aug 24, 2026, the average yearly pay for fintech data science in Dallas, TX is $121,934.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,900.00 and $135,100.00 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 job categories do people searching Fintech Data Science jobs in Dallas, TX look for?

The top searched job categories for Fintech Data Science jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Fintech Data Science jobs?

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

Infographic showing various Fintech Data Science job openings in Dallas, TX as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $121,934 per year, or $58.6 per hour.

Product Manager I (Trading)

Apex Fintech Solutions

Dallas, TX โ€ข On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 24 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

As a Product Manager II on Apex's Trading team, you will manage the lifecycle of a major trading capability-spanning multi-asset order management, portfolio trading and rebalancing, and trade execution-balancing client needs, market-structure and regulatory constraints, and business goals. You will define success metrics such as adoption, execution quality, and reliability; coordinate go-to-market plans; ensure operational readiness across the trade desk, operations, and compliance; and partner with senior product leaders on longer-term strategy and complex trade-offs.

Key Responsibilities:

  • Own a Trading product or major capability (e.g., multi-asset order management, portfolio rebalancing and model management, or execution and routing services) with support from a Senior PM or above; define a near- to mid-term roadmap and release plan.
  • Lead discovery by synthesizing feedback from fintech, broker-dealer, and advisory clients, order flow and usage data, and market-structure and competitive signals into clear problem statements and hypotheses.
  • Translate strategy into PRDs/epics across the order lifecycle-order entry and validation, routing, execution, allocations, and trade booking; manage the product-level backlog across one or more teams; clarify scope and sequencing.
  • Coordinate delivery across design, engineering, data, and QA-as well as trade desk, operations, clearing, and compliance partners; manage dependencies (e.g., execution venues, market data, ledger and booking systems) and alignment to OKRs.
  • Define success metrics and instrumentation for trading systems; build dashboards; monitor adoption, order and fill quality, latency, and reliability; drive iterative improvements.
  • Plan launches and go-to-market with marketing, sales, and relationship management; ensure client-facing API documentation, support, training, and operational readiness.
  • Prepare value cases and impact estimates for trading initiatives (e.g., new asset classes, order types, or extended trading hours); track outcomes against targets and course-correct as needed.
  • Ensure regulatory and best execution obligations are reflected in product decisions; partner with compliance on requirements such as best execution reviews, CAT reporting, and trade surveillance.
  • Identify risks, dependencies, and operational gaps early-including capacity for market volume spikes and incident readiness during market hours; drive mitigations and escalate appropriately.

Education and Experience:

  • Bachelor's degree in Computer Science, Software Engineering, Information Systems, 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 managing the product lifecycle for a product or major capability, coordinating across multiple teams, and delivering measurable impact.
  • Experience defining product KPIs and ensuring operational readiness (support, documentation, training) and GTM coordination.
  • Working knowledge of the trade lifecycle-order entry, routing, execution, clearing, and settlement-or a demonstrated ability to ramp quickly in a complex, regulated domain.

Knowledge, Skills, and Abilities:

  • Strategic thinking at product-area level: synthesizes client, market-structure, and order flow data into problem statements and priorities across orders, portfolios, and executions.
  • Product-level backlog management: translates strategy into PRDs/epics; sequences work across one or more trading teams and their operations and compliance partners.
  • KPI ownership: defines product KPIs for trading systems (adoption, fill and execution quality, latency, reliability, straight-through processing); builds dashboards; drives improvements.
  • Technical depth: conversant in architecture, APIs, FIX connectivity, event-driven systems, and data models, and the trade-offs impacting the scale, latency, and resilience of trading platforms.

#product management #associate #full-time #LI-SD1 #APEX

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.