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Computer Science Banking Jobs in California (NOW HIRING)

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 ...

Rich Data Co

Senior Data Scientist

San Jose, CA · On-site

$150K - $175K/yr

AI helps business and commercial bankers know more, do more, and grow more by turning complex data ... Bachelor's degree in in Statistics, Mathematics, Physics, Computer Science, or other Quantitative ...

Rich Data Co

Senior Data Scientist

San Jose, CA · On-site

AI helps business and commercial bankers know more, do more, and grow more by turning complex data ... Bachelor's degree in in Statistics, Mathematics, Physics, Computer Science, or other Quantitative ...

Hired Recruiters

Backend Engineer

Palo Alto, CA · On-site

As part of the team you'll be at the forefront of developing new core banking features and helping ... BA/BS degree in Computer Science or a related technical field * 1+ years experience in backend ...

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All JobsComputer Science Banking JobsComputer Science Banking Jobs in California

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 Jun 13, 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 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.

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, security, and compliance within financial institutions.

Can I work in a bank with a computer science degree?

Computer Science graduates can work in banks in roles such as IT specialists, software developers, cybersecurity analysts, or data analysts. These positions often require knowledge of programming, database management, and security protocols, and may benefit from certifications like CompTIA or CISSP.

Can I make 200K with a computer science degree?

Computer science professionals can earn $200,000 or more annually, especially in high-demand roles such as software engineering, data science, or cybersecurity at senior levels or in certain industries like finance or technology. Achieving this salary typically requires extensive experience, advanced skills, certifications, and often working in major tech hubs or for large companies with competitive compensation packages.

Do banks need computer science?

Computer science is essential in banking roles such as software developers, data analysts, and cybersecurity specialists, who develop and maintain banking systems, ensure data security, and improve digital services. Knowledge of programming languages, databases, and financial technology tools is often required for these positions.

What is a Computer Science Banking job?

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 are the key skills and qualifications needed to thrive in the Computer Science Banking position, 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.

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

VP, Modeling & Data Science

LendingClub Bank

San Francisco, CA • On-site

Full-time

Medical, Dental, Vision, Retirement

Posted 2 days ago

Job description

Current Employees of LendingClub: Please apply via your internal Workday Account
LendingClub (soon to be Happen Bank) is built around a simple purpose: to clear the way to help people turn intention into action, and action into financial progress. That means offering focused products, a frictionless mobile-first experience, and clear terms with no gotchas. Respect and fairness is part of our DNA, and that ideal shapes how we work, how we treat each other, and how we invest in our employees and our community. Join us in using data, bold thinking, and a commitment to innovation to help clear the way for millions of Americans to achieve more.
About the Role
LendingClub Bank's Decision Science group is seeking an innovative and highly experienced quantitative data science leader to join us as our VP, Modeling & Data Science. This pivotal role will shape the next generation of modeling strategies across LendingClub's enterprise-spanning personal loans, auto, purchase finance, and deposits.
As a key member of the leadership team, you will be responsible for setting a clear strategic vision for modeling excellence, including integrating next-generation machine learning (ML), AI capabilities, and advanced data sources into our credit, fraud, and marketing ecosystems. We're looking for a leader with extensive experience in the consumer lending or Fintech industry who is passionate about leveraging advanced analytics and machine learning to solve complex business problems. You will lead a high-performing team of modelers and partner cross-functionally to build an agile, future-ready modeling infrastructure.
What You'll Do
  • Set the enterprise modeling strategy across key domains: credit underwriting, fraud detection, marketing targeting, pricing, and operational decisioning.

  • Champion AI/ML model innovation and oversee deployment of advanced statistical and ML models across the LendingClub ecosystem.

  • Drive the development, enhancement, and governance of a comprehensive suite of models, ensuring performance, interpretability, and compliance.

  • Collaborate with Technology to evolve our machine learning platform for scalable experimentation, deployment, and monitoring.

  • Lead a team of 6-10 seasoned modeling and data science professionals, fostering a culture of innovation, curiosity, and rigor.

  • Build robust partnerships with cross-functional teams including Credit Strategy, Marketing, Risk, Operations, Engineering, and Compliance.

  • Evaluate and integrate emerging data sources to unlock new insights and opportunities across our lending and deposit products.

  • Set the agenda for continuous improvement in tools, technologies, and methodologies.

  • Serve as a modeling thought leader, representing LendingClub in industry forums and regulatory discussions, and benchmarking best-in-class practices.

  • Partner closely with Model Risk Management to ensure strong governance and alignment with evolving regulatory expectations.

  • Communicate complex technical and business topics with clarity and impact to senior leadership, the board, and regulators, on all aspects pertaining to the management of the modeling/AI/ML function.

About You
  • 15+ years of relevant business experience, with a significant portion in consumer lending.

  • 10+ years of experience in people management leading and developing teams of modelers, data scientists, or other analytical functions.

  • Extensive hands-on experience with predictive modeling methods (e.g., logistic regression, multivariate linear regression, decision tree, cluster analysis), with a strong command of a wide range of advanced data mining and machine learning techniques.

  • Deep practical experience and solid understanding of machine learning and deep learning methods (e.g., GBM, Neural Networks).

  • Proficiency with leading machine learning and deep learning toolkits (e.g., TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas).

  • Experience establishing or scaling enterprise-level ML platforms and practices.

  • Experience with consumer credit portfolios and data science/decision science/risk management within the banking sector is a significant plus.

  • Hands-on knowledge of credit and fraud functions development in a regulated banking or fintech environment.

  • Strong understanding of model governance, validation, and regulatory compliance in financial services.

  • A systems thinker who is comfortable operating in both strategic and technical dimensions.

  • Ability to develop sophisticated quantitative measurements and analyses to address multi-dimensional business needs.

  • Exceptional communication skills, with the ability to clearly and precisely articulate technical and business topics across all levels of management, including senior executives and regulators.

  • Proven ability to influence and drive change cross-functionally, championing new ideas and approaches.

  • Degree in a quantitative field (e.g., Statistics, Computer Science, Engineering, Economics); a Master's or PhD is preferred, though equivalent professional experience will also be considered.

Work Location
San Francisco
The above locations are eligible offices for this role. The locations have been determined to foster in-person collaboration with this role's team or the related business lines. We utilize a hybrid work model, and our teams are in-office Tuesdays, Wednesdays, and Thursdays. In-person attendance is essential for this role's success, and remote placement will not be considered. LendingClub offers relocation, based on actual job level.
Time Zone Requirements
Primarily PT
While the position will primarily work local hours, LendingClub is headquartered in Pacific Time and our ideal candidate will be flexible working across time zones when necessary.
Travel Requirements
Monthly/quarterly/as needed travel to LendingClub offices and/or other locations, as needed.
Compensation
The target base salary range for this position is 240,000-270,000. The base salary of the role will be determined by job-related knowledge, experience, education, skills, and location. Base salary is just one part of LendingClub's Total Rewards package. You may also be eligible for long-term awards (equity) and an annual bonus (which is based on company performance, employee performance and eligible earnings).
We're creating new financial services solutions for our members based on fairness, simplicity, and heart, and we treat our employees the same way. We offer a competitive benefits package that includes medical, dental and vision plans for employees and their families, 401(k) match, health and wellness programs, flexible time off policies for salaried employees, up to 16 weeks paid parental leave and more.
#LI-Hybrid
#LI-BC1
LendingClub is an equal opportunity employer and dedicated to diversity, equity, and inclusion in the workplace. We do not discriminate on the basis of race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), gender, gender identity, gender expression, sexual orientation, age, marital status, veteran status, disability status, political views or activity, or other applicable legally protected characteristics. We believe that a variety of perspectives will make our teams and business stronger as we work together to transform the traditional banking system.
We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at interviewaccommodations@lendingclub.com.

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