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Computer Science Finance Jobs in Arizona (NOW HIRING)

Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline; OR 4 years of experience in ...

Qualifications College diploma or university degree in the field of business administration, computer science, finance, or information systems. Three to five years related work experience. Proven ...

Collaborate with Claims Operations, Finance, Risk, and IT stakeholders to identify high-impact ... Qualifications * Master's or PhD in Data Science, Statistics, Mathematics, Computer Science ...

Master's or PhD in Computer Science, Data Science, Statistics, or a related field. * 10-15 years of ... HR, finance, operations, etc. * Understanding of AI security and compliance frameworks.

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Computer Science Finance information

How is computer science used in finance?

Computer science in finance involves developing algorithms and software for trading, risk management, and data analysis. Professionals use programming languages like Python and tools such as machine learning models to optimize financial decision-making and automate processes.

What are the key skills and qualifications needed to thrive in Computer Science Finance, and why are they important?

To thrive in Computer Science Finance, you need strong analytical and programming skills, a solid understanding of financial concepts, and typically a degree in computer science, finance, or a related field. Familiarity with financial modeling tools, database management systems, and programming languages like Python, R, or SQL is highly valued, along with certifications such as CFA or FRM. Excellent problem-solving abilities, attention to detail, and effective communication are essential soft skills for collaborating with diverse teams and interpreting complex data. These skills are crucial for developing innovative financial solutions, ensuring data integrity, and driving informed decision-making in the fast-paced finance industry.

What is the difference between Computer Science Finance vs Data Analyst?

AspectComputer Science FinanceData Analyst
Required CredentialsBachelor's in Computer Science, Finance, or related fields; certifications like CFA or FRM beneficialBachelor's in Statistics, Economics, or related fields; certifications like CAP or Microsoft Data Analyst
Work EnvironmentFinancial institutions, tech firms, investment banks; often collaborative and fast-pacedCorporate offices, consulting firms, financial services; data-driven and analytical
Employer & Industry UsageFinance, banking, fintech, tech companiesFinance, marketing, healthcare, consulting

Computer Science Finance professionals combine technical skills with financial knowledge to develop algorithms, models, and software for financial analysis and trading. Data Analysts focus on interpreting data to inform business decisions across various industries. While both roles require analytical skills, Computer Science Finance emphasizes programming and financial expertise, whereas Data Analysts concentrate on data interpretation and reporting.

What is computer science finance?

Computer science finance is an interdisciplinary field that combines principles of computer science with finance. Professionals in this area use technology and programming to analyze financial data, develop trading algorithms, manage risk, and optimize investment strategies. Careers in computer science finance often involve roles such as quantitative analyst, financial software developer, or data scientist for investment firms, banks, or fintech companies. This field requires skills in programming (often Python, R, or C++), data analysis, and a solid understanding of financial markets and instruments.

Is finance and computer science a good combo?

Computer Science Finance combines technical programming skills with financial knowledge, making it valuable in areas like quantitative analysis, algorithmic trading, and financial modeling. Professionals in this field often use tools like Python, R, and SQL, and benefit from certifications such as CFA or FRM to enhance career prospects.

Can you get a finance job with a computer science degree?

A computer science degree can qualify you for finance jobs such as quantitative analyst, financial software developer, or data analyst, especially if you have skills in programming, data analysis, and financial modeling. Many finance roles value technical expertise, coding skills, and knowledge of financial tools like Excel, SQL, or Python. Additional certifications like CFA or FRM can enhance prospects in finance positions requiring specialized financial knowledge.

Is computer science dead due to AI?

Computer science remains a vital field for roles such as software developers, data scientists, and AI specialists. AI advances create new opportunities for innovation, requiring skills in programming, algorithms, and machine learning tools, ensuring continued demand for computer science expertise.

How does a professional in Computer Science Finance typically collaborate with both technical and financial teams?

Professionals in Computer Science Finance often serve as a bridge between technology and finance departments, translating financial requirements into technical solutions. They might collaborate closely with software engineers to develop financial models or automation tools, and work with analysts or traders to understand market needs and ensure technical solutions align with business goals. Effective communication is key, as they regularly participate in cross-functional meetings, manage project timelines, and provide updates to both technical and non-technical stakeholders. This role requires adaptability and the ability to explain complex concepts in accessible terms.

What Are Finance Jobs for Computer Science Majors?

Finance jobs for computer science majors focus on the analysis of financial data, the development of finance technology (fintech) software and applications to analyze financial markets and automate equities trading, and the creation of algorithms for analysis, fraud detection, and risk management. As a data scientist or quantitative analyst, you perform your duties for an investment firm or bank. If you are a risk management analyst, you work for financial institutions or life insurance companies. A computer science major can also develop software and configure databases for finance businesses or have cybersecurity responsibilities that include protecting data and systems from hackers.

What are popular job titles related to Computer Science Finance jobs in Arizona? For Computer Science Finance jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Computer Science Finance jobs in Arizona look for? The top searched job categories for Computer Science Finance jobs in Arizona are:
What cities in Arizona are hiring for Computer Science Finance jobs? Cities in Arizona with the most Computer Science Finance job openings:
Infographic showing various Computer Science Finance job openings in Arizona as of June 2026, with employment types broken down into 97% Full Time, 2% Part Time, and 1% Contract. Highlights an 83% Physical, 6% Hybrid, and 11% Remote job distribution.
Senior Lead Data Science Consultant

Senior Lead Data Science Consultant

Wells Fargo

Phoenix, AZ • On-site

Full-time

Medical, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Wells Fargo rating

7.8

Company rating: 7.8 out of 10

Based on 692 frontline employees who took The Breakroom Quiz

71st of 144 rated banks


Job description

About this role:

Wells Fargo is seeking a Senior Lead Data Science Consultant within our analytics team for Business Banking. This role will be responsible for developing and delivering advanced customer and banker placement analytics, including segmentation, portfolio optimization, performance analysis, and opportunity sizing.

Learn more about our career areas and lines of business at wellsfargojobs.com


In this role, you will:

  • Analyze large, complex datasets to identify trends, risks, and opportunities related to customer coverage, banker capacity, and client outcomes.
  • Design repeatable analytical frameworks to support strategic initiatives, governance reviews, and leadership reporting.
  • Ensure analytical outputs are accurate, auditable, and aligned with enterprise data and governance standards.
  • Execute highly complex analytical experiments and create innovative statistical models to discover solutions for abstract business problems across various domains
  • Partner with sales leadership teams to inform placement strategy and customer alignment decisions.
  • Support enterprise initiatives related to customer assignment, servicing models, and coverage optimization.
  • Translate analytical findings into clear business recommendations, highlighting tradeoffs and implications.
  • Build executiveready presentations (PowerPoint and verbal) for senior leaders, including SVPs and executive committees.
  • Clearly communicate complex analytical concepts to nontechnical audiences using data storytelling and visualizations.
  • Respond to adhoc leadership requests with concise, highimpact analyses and recommendations.
  • Collaborate with crossfunctional partners (Analytics, Banking, Risk, Operations, Technology).
  • Support governance processes by ensuring analytical outputs meet internal standards and documentation requirements.
  • Act as a trusted analytics advisor to stakeholders across the organization.

Required Qualifications:

  • 7+ years of data science experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science


Desired Qualifications:

  • Experience in banking, financial services, customer analytics, or coverage/placement models
  • Expertise in advanced analytics and data tools (e.g., SQL, Python, R, SAS) with hands-on experience in deep-dive analysis and data mining
  • Proficiency in data visualization and BI platforms (e.g., Power BI, Tableau, Alteryx) to develop interactive dashboards and reporting frameworks
  • Experience developing KPI frameworks, building business cases, and quantifying the financial impact of strategic initiatives
  • Familiarity with governance, risk, or compliance considerations in analytics.
  • Strong experience engaging executive stakeholders, including delivering clear, data-driven insights and recommendations to senior leadership
  • Strong analytical skillset, including experience with data analysis, modeling, and interpretation.
  • Experience working with structured datasets from enterprise data sources.
  • Strong business acumen with the ability to align analytics initiatives to enterprise goals, risk considerations, and regulatory/compliance needs
  • Ability to operate independently, navigate ambiguity and manage multiple priorities in a fastpaced environment.


Job Expectations:

  • Position offers a hybrid work schedule
  • This position is not eligible for Visa sponsorship
  • Relocation assistance is not available for this position

Locations:

  • 401 S. Tryon St. Charlotte, NC
  • 600 S 4th St Minneapolis, MN
  • 2700 S. Price Rd. Chandler, AZ

Pay Range

Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities.

$159,000.00 - $279,000.00

Benefits

Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. VisitBenefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.

  • Health benefits
  • 401(k) Plan
  • Paid time off
  • Disability benefits
  • Life insurance, critical illness insurance, and accident insurance
  • Parental leave
  • Critical caregiving leave
  • Discounts and savings
  • Commuter benefits
  • Tuition reimbursement
  • Scholarships for dependent children
  • Adoption reimbursement

Posting End Date:

27 Jun 2026

*Job posting may come down early due to volume of applicants.

We Value Equal Opportunity

Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.

Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements.

Applicants with Disabilities

To request a medical accommodation during the application or interview process, visitDisability Inclusion at Wells Fargo.

Drug and Alcohol Policy

Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.

Wells Fargo Recruitment and Hiring Requirements:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.


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About Wells Fargo

Sourced by ZipRecruiter

Wells Fargo & Company (NYSE: WFC) is a leading financial services company that has approximately $1.9 trillion in assets, proudly serves one in three U.S. households and more than 10% of small businesses in the U.S., and is a leading middle market banking provider in the U.S. We provide a diversified set of banking, investment and mortgage products and services, as well as consumer and commercial finance, through our four reportable operating segments: Consumer Banking and Lending, Commercial Banking, Corporate and Investment Banking, and Wealth & Investment Management. Wells Fargo ranked No. 41 on Fortune's 2022 rankings of America's largest corporations. In the communities we serve, the company focuses its social impact on building a sustainable, inclusive future for all by supporting housing affordability, small business growth, financial health and a low-carbon economy.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

San Francisco, CA, US

Year founded

1852

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