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Bank Computer Science Jobs in California (NOW HIRING)

You have a bachelor's degree in Accounting, Business, Economics, Law, Computer Science, or a related field (Required). * You have 4 or more years of experience in business banking (Required). * An ...

Business Banker

Temecula, CA · On-site

$110K/yr

You have a bachelor's degree in Accounting, Business, Economics, Law, Computer Science, or a related field (Required). * You have 4 or more years of experience in business banking (Required). * An ...

Business Banker

Rialto, CA · On-site

$110K/yr

You have a bachelor's degree in Accounting, Business, Economics, Law, Computer Science, or a related field (Required). * You have 4 or more years of experience in business banking (Required). * An ...

Business Banker

Rialto, CA · On-site

$110K/yr

You have a bachelor's degree in Accounting, Business, Economics, Law, Computer Science, or a related field (Required). * You have 4 or more years of experience in business banking (Required). * An ...

You have a bachelor's degree in Accounting, Business, Economics, Law, Computer Science, or a related field (Required). * You have 4 or more years of experience in business banking (Required). * An ...

You have a bachelor's degree in Accounting, Business, Economics, Law, Computer Science, or a related field (Required). * You have 4 or more years of experience in business banking (Required). * An ...

You have a bachelor's degree in Accounting, Business, Economics, Law, Computer Science, or a related field (Required). * You have 4 or more years of experience in business banking (Required). * An ...

You have a bachelor's degree in Accounting, Business, Economics, Law, Computer Science, or a related field (Required). * You have 4 or more years of experience in business banking (Required). * An ...

Business Banker

Temecula, CA · On-site

$110K/yr

You have a bachelor's degree in Accounting, Business, Economics, Law, Computer Science, or a related field (Required). * You have 4 or more years of experience in business banking (Required). * An ...

You have a bachelor's degree in Accounting, Business, Economics, Law, Computer Science, or a related field (Required). * You have 4 or more years of experience in business banking (Required). * An ...

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 ...

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 ...

VP, IT Project Management

El Monte, CA · On-site

$115K - $150K/yr

... branch builds, core and digital banking software implementations, AI initiatives, and ... Qualifications: * Bachelor's degree in Information Technology, Computer Science, Business ...

Mechanics Bank is currently searching for an AI Creator to join our team. The AI Creator ... Qualifications : Required : • 4 Year / Bachelor's Degree in Computer Science, Software ...

Cathay Bank is a financial institution that values its team members and fosters a caring culture ... Qualifications : Required : • BS Computer Science/Engineering or equivalent work experience ...

... in Computer science or equivalent • Excellent Troubleshooting and Communication skills • ... Zeta is a banking technology company that provides credit and debit card issuance, core banking ...

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Bank Computer Science information

How does a Computer Science professional typically collaborate with other departments in a banking environment?

In a banking environment, Computer Science professionals frequently work alongside teams from risk management, compliance, operations, and customer service to develop, test, and maintain secure and efficient banking systems. Collaboration often involves gathering requirements, troubleshooting issues, and integrating new technologies to support business goals. Effective communication and understanding of banking regulations are key, as projects may involve cross-functional meetings and ongoing coordination to ensure technological solutions align with industry standards and client needs.

What are the key skills and qualifications needed to thrive as a Bank Computer Science professional, and why are they important?

To succeed as a Bank Computer Science professional, you need a solid background in computer science, programming languages (such as Java or Python), and knowledge of banking systems, often supported by a relevant degree. Familiarity with core banking software, cybersecurity practices, databases, and sometimes certifications like CISSP or CISM are typically required. Strong analytical thinking, attention to detail, and effective teamwork help address complex technical challenges and ensure secure, efficient operations. These skills are crucial for maintaining robust financial systems, safeguarding sensitive data, and supporting innovative banking solutions.

What is a Bank Computer Scientist?

A Bank Computer Scientist is a technology professional who specializes in designing, developing, and maintaining computer systems and software used within the banking sector. Their responsibilities include ensuring the security of financial transactions, developing algorithms for fraud detection, and implementing reliable banking applications. They work closely with IT and security teams to keep banking systems running efficiently and securely. Their expertise helps banks adapt to new technologies and meet regulatory requirements.

What is the difference between Bank Computer Science vs Bank IT Specialist?

AspectBank Computer ScienceBank IT Specialist
Required CredentialsBachelor's in Computer Science or related field, certifications like CompTIA, CiscoSimilar certifications, often with additional focus on network or security certifications
Work EnvironmentBank IT departments, software development teams, cybersecurity unitsBank branches, data centers, IT support teams within banks
Employer & Industry UsageFinancial institutions, banks, fintech companiesBanking institutions, financial service providers
Common Search & Comparison IntentUnderstanding roles in banking tech, career paths in bank ITJob responsibilities, certifications, and skills for bank IT roles

Bank Computer Science focuses on software development, system analysis, and cybersecurity within banks, often requiring programming skills and advanced technical knowledge. Bank IT Specialist typically handles hardware, network support, and troubleshooting in banking environments. Both roles share similar credentials and industry usage but differ in daily responsibilities and technical focus.

What cities in California are hiring for Bank Computer Science jobs? Cities in California with the most Bank Computer Science job openings:
Infographic showing various Bank Computer Science job openings in California as of June 2026, with employment types broken down into 76% Full Time, 23% Part Time, and 1% Temporary. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution.

VP, Modeling & Data Science

LendingClub Bank

San Francisco, CA • On-site

Full-time

Medical, Dental, Vision, Retirement

Posted 8 hours 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.