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Computer Science Banking Jobs in California (NOW HIRING)

US Bank

AI Scientist

San Francisco, CA · On-site

D. in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Applied ... Bank location three (3) or more days per week. If there's anything we can do to accommodate a ...

IT CURA Inc.

Business Analyst - Banking

Rosemead, CA

Bachelor degree in Business, Computer Science, or Information Systems, or related degree preferred. * Banking experience a must: Deposits, ACH, SWIFT, Teller System, ATM, Online Banking, * Experience ...

IT CURA Inc.

Business Analyst - Banking

Rosemead, CA · On-site

Bachelor degree in Business, Computer Science, or Information Systems, or related degree preferred. * Banking experience a must: Deposits, ACH, SWIFT, Teller System, ATM, Online Banking, * Experience ...

Expleo

Quality Test Engineer - Banking Sector

Los Angeles, CA · On-site

$77K - $100K/yr

I-SH1 Missions Design, develop, and execute test plans and test cases for banking applications ... Bachelor's degree in Computer Science, Information Technology, or related field ISTQB Foundation ...

Intuit

Manager 2, AI Science

Mountain View, CA · On-site

Banking, Workforce Wallet (WFS), and CK Invest. You will partner with the broader Consumer Risk ... Advanced degree (Ph.D. / MS) in Computer Science, Data Science, AI, Mathematics, Statistics ...

Banner Bank

Commercial Banking Center Manager

Irvine, CA · On-site

$175K - $234K/yr

You have a Bachelor's degree in Accounting, Business, Economics, Law, Computer Science, or a ... Banner Bank is an Equal Opportunity Employer committed to diversity in the workplace. All qualified ...

Banner Bank

Commercial Banking Center Manager

Irvine, CA

$175K - $234K/yr

You have a Bachelor's degree in Accounting, Business, Economics, Law, Computer Science, or a ... Banner Bank is an Equal Opportunity Employer committed to diversity in the workplace. All qualified ...

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Computer Science Banking information

See California salary details

$20.1K

$66.5K

$138.6K

How much do computer science banking jobs pay per year?

As of Aug 27, 2026, the average yearly pay for computer science banking in California is $66,474.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,658.00 and $92,047.00 per year, depending on experience, location, and employer.

What is a computer science banking?

A Computer Science Banking job involves applying computer science principles to develop, maintain, and secure banking systems. Professionals in this field work on digital banking platforms, cybersecurity, data analytics, and financial software development. They help banks enhance customer experience, prevent fraud, and optimize operations through technology. Roles may include software developers, cybersecurity analysts, data scientists, and IT specialists in financial institutions. These jobs require expertise in programming, databases, encryption, and financial technologies.

What types of projects do professionals in computer science banking typically work on?

Professionals in Computer Science Banking often work on projects such as developing secure online banking platforms, implementing fraud detection systems, optimizing transaction processes, and managing large financial data sets. They may also support regulatory compliance projects and enhance cybersecurity measures to protect sensitive customer information. Collaboration with financial analysts, management, and IT teams is common, as is involvement in implementing emerging technologies like artificial intelligence or blockchain. This dynamic environment provides valuable experience across technical and financial domains and supports career advancement into senior technical or leadership roles.

What are the key skills and qualifications needed to thrive in computer science banking, and why are they important?

To excel in a Computer Science Banking role, you need a strong background in computer science principles, programming, and data analysis, ideally supported by a relevant degree or certifications. Familiarity with banking software platforms, cybersecurity protocols, databases, and tools like Python, SQL, or Java are often required. Strong problem-solving skills, attention to detail, and clear communication help you work effectively with both technical teams and finance professionals. These competencies ensure secure, efficient, and innovative technology solutions within the fast-paced and highly regulated banking sector.

Can someone who studies computer science work in a bank?

Yes, computer science graduates can work in banks in roles such as software developers, data analysts, cybersecurity specialists, or IT support. These positions often require knowledge of programming, databases, and security protocols, and may involve working with banking software and financial systems.

How is computer science used in banking?

Computer science in banking involves developing and maintaining software systems for transactions, fraud detection, risk management, and customer service. Professionals in this field use programming languages, data analysis, and cybersecurity skills to improve efficiency and security within financial institutions.

What are the most commonly searched types of Computer Science Banking jobs in California?

The most popular types of Computer Science Banking jobs in California are:

What are popular job titles related to Computer Science Banking jobs in California?

For Computer Science Banking jobs in California, the most frequently searched job titles are:

What job categories do people searching Computer Science Banking jobs in California look for?

The top searched job categories for Computer Science Banking jobs in California are:

What cities in California are hiring for Computer Science Banking jobs?

Cities in California with the most Computer Science Banking job openings:

Computer Science Banking jobs near you
Infographic showing various Computer Science Banking job openings in California as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 16% Part Time, 4% Contract, and 1% Nights. Highlights an 73% Physical, 2% Hybrid, and 25% Remote job distribution, with an average salary of $66,474 per year, or $32 per hour.

Executive Director / Director, AI Data Science (Fixed Income/Investment Banking)

Manhattan, NY • On-site

TWG Global AI
See more jobs at TWG Global AIexternal

Full-time

Re-posted 5 days ago

Job description

At TWG Group Holdings, LLC ("TWG Global"), we drive innovation and business transformation across a range of industries-including financial services, insurance, technology, media, and sports-by leveraging data and AI as core assets. Our AI-first, cloud-native approach delivers real-time intelligence and interactive business applications, empowering informed decision-making for both customers and employees.
We prioritize responsible data and AI practices, ensuring ethical standards and regulatory compliance. Our decentralized structure enables each business unit to operate autonomously, supported by a central AI Solutions Group, while strategic partnerships with leading data and AI vendors fuel game-changing efforts in marketing, operations, and product development.
You will collaborate with management to advance our data and analytics transformation, enhance productivity, and enable agile, data-driven decisions. By leveraging relationships with top tech startups and universities, you will help create competitive advantages and drive enterprise innovation.
At TWG Global, your contributions will support our goal of sustained growth and superior returns, as we deliver rare value and impact across our businesses.
The Role
As Executive Director on the AI Science team, you will lead the design and execution of high-impact AI and data science initiatives across TWG Global's fixed income and investment banking businesses. Reporting to the Managing Director of AI & Data, you will act as the senior technical leader for the function. You will drive enterprise-critical projects, set technical direction, and mentor a small team of data scientists working on pricing, risk, and capital markets problems.
You will partner closely with traders, bankers, risk leaders, and senior executives to align data science solutions with the firm's commercial priorities, ensuring advanced AI and quantitative methods are adopted responsibly and at scale. This role demands deep technical expertise in both machine learning and the mechanics of fixed income markets, paired with the ability to influence decision-makers and deliver measurable outcomes on the desk and across the enterprise.
Key Responsibilities
  • Lead flagship AI/ML projects that drive measurable value across fixed income trading, credit, rates, and investment banking workflows, from pricing and execution to risk and origination.
  • Direct the development of models for valuing illiquid instruments, forecasting price and spread movements, modeling prepayment and default risk, and analyzing the yield curve and interest rate dynamics.
  • Act as senior technical authority on advanced AI methods (generative AI, causal inference, LLM-based analytics, RAG, simulation) and on their application to quantitative finance.
  • Translate complex desk-level and banking challenges into enterprise-grade data science solutions with tangible P&L and risk-adjusted ROI.
  • Mentor and guide a small team of data scientists, building technical excellence, modeling rigor, and responsible AI adoption.
  • Partner with trading desks, banking coverage teams, risk, MDs, and executive committees to ensure AI initiatives align with firm-wide priorities.
  • Represent TWG Global in external technical forums and partnerships with universities, regulators, and technology leaders.
  • Define standards for experimentation, reproducibility, and model governance, consistent with the controls expected in a regulated capital markets environment.
  • Stay ahead of emerging trends in AI/ML and quantitative finance, advising on adoption and firm-wide capability building.

Requirements
  • 10 or more years of experience in data science or machine learning, with proven delivery of enterprise-impact projects, including direct work in fixed income, capital markets, or quantitative finance.
  • Strong expertise in advanced machine learning, causal inference, deep learning, statistical modeling, and time series analysis.
  • Working knowledge of fixed income fundamentals: duration, convexity, yield curves, credit spreads, rate models, and the pricing of debt instruments and derivatives.
  • Demonstrated success leading end-to-end projects and influencing senior stakeholders on a trading floor or within a banking or risk function.
  • Hands-on technical depth in Python (or R), cloud-based platforms, and modern ML frameworks.
  • Experience mentoring or leading small, high-performing teams.
  • Master's or PhD in Data Science, Statistics, Computer Science, Financial Engineering, Quantitative Finance, or a related discipline.

Preferred Qualifications:
  • Experience working with Palantir platforms (Foundry, AIP, Ontology) to develop, analyze, and operationalize data-driven insights within enterprise-scale environments.
  • Familiarity with model risk management and validation standards (e.g., SR 11-7) and establishing standards for reproducibility, experimentation, and responsible AI in a regulated setting.
  • Experience with market and tick data infrastructure, including KDB+/q or similar time series stores.
  • Familiarity with vector databases, knowledge graphs, and LLM application frameworks for advanced analytics.
  • Cloud or AI/ML certifications (e.g., AWS ML Specialty, Google Cloud ML Engineer, Azure AI Engineer) are a plus.

Benefits
Position Location
This is an on-site position based in Santa Monica, CA or New York, NY. Relocation support is provided for qualified candidates.
Compensation
The expected base pay for this position is $299,000-390,000. A discretionary bonus will be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits.
TWG is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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