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

Product Manager I (Trading)

Dallas, TX · On-site

$125 - $150/hr

... 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 ...

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 ...

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 ...

Trust and Safety Analyst

Richardson, TX · On-site

$80 - $100/hr

... Data Science as needed to resolve escalationstimelyand consistently. * Support fraud incident ... fintech, banking, merchantacquiring, SaaS, marketplace, or digital platform environments.

Senior Fraud Risk Analyst

Dallas, TX · On-site

$80 - $100/hr

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 ...

HR Generalist

Dallas, TX · On-site +1

$80K - $120K/yr

... tech, fintech, or crypto environments * Strong network and relationships with specialist talent in quantitative trading, technology, data science, and digital finance * Confident, proactive ...

... Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20 ... Familiarity with blockchain/fintech delivery a plus. Benefits & Perks * A highly competitive ...

Showing results 21-40

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 Sep 7, 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 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $121,934 per year, or $58.6 per hour.

Sr. Product Manager - Enterprise IT & Data

Stellantis Financial Services US

Dallas, TX

$125K - $165K/yr

Full-time

Posted 4 days ago


Job description

Job Description: Stellantis Financial Services (SFS) is the new captive finance company for one of the world's leading automakers and a mobility provider with iconic brands including Abarth, Alfa Romeo, Chrysler, Citroën, Dodge, DS Automobiles, Fiat, Jeep®, Lancia, Maserati, Opel, Peugeot, Ram, Vauxhall, Free2move and Leasys. Our exciting growth provides opportunities to advance your career as we successfully lead products and services from a small to midsize company in just a few years. Join our world class team and culture and contribute to our core mission which is enhancing our customer's experience. Position Summary: The Senior Product Manager will spearhead the strategy, development, and lifecycle management of sophisticated fintech products tailored to the captive auto finance sector. This role demands a seasoned professional with deep expertise in financial technology, auto lending processes, and Agile methodologies. You will lead cross-functional teams, shape product direction, and deliver scalable solutions that enhance customer experiences, optimize operational efficiency, and drive business growth that align with the company and business strategy. As a senior leader, you’ll mentor junior team members and influence company-wide product strategy. In addition, this role will work with the business units to create, maintain and optimize business processes to achieve maximum efficiency and scalability. This role acts as a key point of contact for a business unit for any and all Technology related Products and Services if there are questions or escalations are needed. This individual is ideally involved in Business Unit staff meetings and strategy sessions. Essential Duties and Responsibilities: Define and champion the long-term vision and roadmap for auto finance products, aligning with Stellantis Financial Services objectives and industry trends. Identify high-impact opportunities by analyzing market dynamics, competitor offerings, and emerging fintech innovations (e.g., AI-driven credit scoring, blockchain-based contracts). Drive thought leadership by proposing and validating new product concepts to maintain a competitive edge in the auto finance market. Oversee the full product lifecycle—from ideation and requirements definition to development, launch, and post-launch optimization—for complex solutions (e.g., loan origination platforms, digital wallets, dealer financing tools, etc). Translate business needs and customer pain points into detailed product requirements, epics, features, user stories, and technical specifications. Prioritize feature development based on ROI, customer value, and strategic alignment, balancing short-term wins with long-term goals. Lead collaboration with engineering, UX/UI, data science, sales, marketing, and compliance teams to deliver high-quality, compliant, and user-friendly products. Act as the primary liaison with senior stakeholders, including dealership partners, lending institutions, and C-suite executives, to ensure alignment and adoption. Partner with Vendor Management and Procurement for RFPs or contract negotiations. Partner with IT Architects, EPMO and Development to assess costs and high level timelines. Work with Business leaders to provide business cases and shepherd through the process for approval. Mentor and guide junior product managers, fostering a culture of innovation and accountability within the team. Leverage advanced analytics to monitor product performance, track KPIs (e.g., loan approval rates, time-to-funding, customer satisfaction), and identify areas for improvement. Design and oversee A/B tests, MVPs, and iterative releases to validate hypotheses and refine product offerings. Partner with data teams to integrate predictive models or machine learning into products, enhancing decision-making and personalization. Ensure all products comply with auto finance regulations (e.g., TILA, ECOA, UDAAP) and data privacy laws (e.g., GDPR, CCPA). Collaborate with legal and compliance teams to mitigate risks related to lending practices, cybersecurity, and customer data handling. Anticipate and address potential scalability or operational challenges as products grow in adoption. Advocate for exceptional user experiences across all touchpoints, from borrower applications to dealer workflows and lender dashboards. Conduct in-depth user research and usability testing to refine features and address friction points in the auto finance journey standard Drive initiatives to enhance customer retention and loyalty through innovative fintech solutions. Lead Agile processes (Scrum/Kanban) with a focus on fostering team autonomy, accountability, and continuous improvement. Facilitate sprint planning, backlog refinement, and retrospectives, ensuring efficient delivery and adaptability to changing priorities. Additional responsibilities may be assigned based on organizational needs. Qualifications and Competencies Required To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Demonstrates strong business acumen and strategic thinking, aligning product initiatives with organizational goals, market opportunities, customer needs, and profitability objectives. Utilizes data, research, and critical thinking to evaluate complex issues, identify opportunities, develop solutions, and drive informed decision-making. Champions the customer experience by understanding stakeholder needs, leveraging feedback, and developing innovative, value-driven digital solutions. Communicates effectively both verbally and in writing, builds strong cross-functional partnerships, facilitates collaboration, and influences stakeholders at all levels. Leads through influence, drives organizational change, develops implementation plans, builds commitment, and supports teams through transition and transformation. Effectively manages competing priorities, delegates responsibilities appropriately, organizes resources, and ensures timely delivery of high-quality results. Demonstrates integrity, adaptability, dependability, and a commitment to excellence while upholding organizational values, policies, and continuous improvement initiatives. Required Experience: Minimum of five (5) years of experience driving digital transformation initiatives, enabling and optimizing digital business processes, developing and executing strategic product roadmaps, and operating within a project-based environment; or an equivalent combination of education, training, and relevant professional experience. Education: Minimum 5+years experience in product management with a focus on enabling digital processes, executing strategic roadmaps, and operating within a project environment or equivalent combination of education and work-related experience. Bachelor's degree in Business, Marketing, Engineering, Communications, or a related field. Skills Required: Vision and Strategy: Ability to define a clear product vision and align it with business goals, while breaking it down into an actionable roadmap. Customer-Centric Thinking: Deep understanding of user needs through research, feedback, and empathy to ensure the product solves real problems. Prioritization: Expertise in frameworks like MoSCoW, RICE (Reach, Impact, Confidence, Effort), or Weighted Scoring to prioritize features and tasks effectively. Outcome Focus: Emphasis on delivering measurable value (e.g., revenue growth, user engagement) rather than just outputting features. Agile Methodologies: Proficiency in Agile frameworks like Scrum, Kanban, or SAFe, including understanding roles (e.g., Product Owner, Scrum Master), ceremonies (e.g., sprint planning, retrospectives), and artifacts (e.g., product backlog, user stories). Backlog Management: Skill in grooming and refining the product backlog, writing clear and concise user stories (e.g., "As a [user], I want [feature] so that [benefit]"), and defining acceptance criteria. Iterative Development: Comfort with delivering incremental value, testing assumptions quickly, and pivoting based on feedback or data. Sprint Planning and Execution: Ability to collaborate with teams to set realistic sprint goals, manage scope, and adapt to changes mid-sprint when necessary. Cross-Functional Teamwork: Strong ability to work with developers, designers, QA, marketing, and other stakeholders to align efforts and resolve conflicts. Stakeholder Management: Skill in managing expectations of executives, customers, and team members, while advocating for the product vision. Facilitation: Competence in leading Agile ceremonies (e.g., daily stand-ups, sprint reviews) and fostering open dialogue. Storytelling: Ability to communicate the "why" behind product decisions to inspire teams and gain buy-in. Data Proficiency: Ability to analyze quantitative and qualitative data using tools like Google Analytics, Mixpanel, Tableau, or SQL to inform decisions and measure success. Technical Literacy: Basic understanding of software development concepts (e.g., APIs, databases, cloud infrastructure) to collaborate effectively with engineering teams. Experimentation: Familiarity with A/B testing, MVPs (Minimum Viable Products), and hypothesis-driven development to validate ideas quickly. Metrics Definition: Skill in identifying and tracking KPIs (e.g., Net Promoter Score, churn rate, conversion rate) relevant to the product. Flexibility: Comfort with ambiguity and the ability to adjust plans based on new information, market shifts, or team capacity. Creative Problem-Solving: Talent for finding innovative solutions to blockers, whether technical, operational, or customer-related. Risk Management: Ability to anticipate potential issues (e.g., scope creep, technical debt) and mitigate them proactively. Servant Leadership: A mindset of empowering and supporting the team rather than directing them, in line with Agile principles. Decision-Making: Confidence in making tough calls under uncertainty, balancing short-term needs with long-term goals. Influence Without Authority: Skill in rallying teams and stakeholders around a shared vision, even without formal control over resources. Mentor less experienced product and development teams. Overtime required – required on an as needed basis. Travel 0-10% - as required on an as needed basis. Must have reliable transportation and live within a commutable distance to one of the following cities: Atlanta, GA; Dallas, TX; Detroit, MI Qualifications Preferred: Bachelor’s degree in business, Finance, Computer Science, Engineering, or a related field. Proven track record of launching and scaling successful products or experiences in a fast-paced environment. Deep knowledge of auto finance processes (e.g., loan origination, credit underwriting, dealer financing) and fintech technologies (e.g., APIs, payment gateways, cloud platforms). Advanced proficiency in Agile methodologies (Scrum, Kanban) and tools (e.g., Jira, Confluence). Exceptional leadership and communication skills, with experience influencing senior stakeholders and mentoring teams. Strong analytical skills, with hands-on experience in data tools (e.g., SQL, Tableau, Amplitude) Agile or SAFe Agile experience is preferred Physical Demands The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this Job, the employee is regularly required to sit for long periods of time, use hands and arms to operate office equipment including but not limited to a keyboard, mouse and phone, will occasionally need to reach, stoop, stand or walk. The employee must be able to see (close vision), hear, speak, and communicate verbally. The employee may occasionally lift and/or move up to 10 pounds. Work Environment The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The noise level in the work environment is usually moderate. Work Schedule This position requires the ability to work various shifts to accommodate business needs. Typically, between the hours of 8AM-6PM Monday through Friday and on weekends as needed. Travel is required 10% of the time. Stellantis Financial Services, Inc (SFS) is an equal opportunity employer and is committed to providing its employees an environment that is free of harassment, discrimination, and intimidation. It is the policy of SFS to comply with all applicable employment laws and regulations and to provide equal opportunity for all qualified persons and to not discriminate against any employee or applicant for employment because of race, color, religion, sex, age, national origin, disability, pregnancy, sexual orientation, veteran status, gender identity or expression, change of sex, and/or transgender status or any protected status. Candidates must possess authorization to work in the United States. This policy applies to recruitment and placement, promotion, training, transfer, retention, rate of pay and all other terms and conditions of employment. Employment and promotion decisions will be based solely on merit, ability, achievement, experience, conduct and other legitimate business reasons. An applicant must be authorized to work in the United States to be eligible for this position. Stellantis Financial Services, Inc. will not sponsor applicants for work visas of any type for this position.