Search the 33 jobs at Oportun

The Sr Manager, Capital Markets and Treasury is responsible for forecasting and optimizing corporate cash among the organization's operating entities. They work to enhance existing corporate cash forecasting models and processes.

Review and decision vehicle title during the application phase of the Secure Personal Loan process. Verify documents for accuracy and collaborate with business partners when necessary. Maintain knowledge of lending regulations and policies.

Senior Software Engineer at Oportun responsible for designing, developing, and maintaining sophisticated software solutions, providing technical leadership, mentoring junior engineers, and collaborating with cross-functional teams to deliver high-quality, scalable software solutions. The role involves leading technology efforts for large initiatives and contributing to architectural decisions.

Lead the design and implementation of scalable data architectures, develop data pipelines, optimize databases, ensure data quality and governance, provide mentorship, collaborate with stakeholders, monitor performance, and contribute to software engineering.

Lead the design, development, testing, and deployment of complex software applications, establish best practices, and ensure high-quality coding. Oversee system architecture, provide technical leadership, and collaborate with senior leaders to align on policies and procedures.

The GSOC Supervisor role at Oportun involves leading and coordinating the activities of the Security Global Ops team, ensuring the proper response to routine and emergency calls, monitoring alarms and CCTV, and evaluating global incidents. The supervisor also manages employee business trips, monitors situational awareness, and initiates incident reports. This position plays a crucial role in the organization's security and performs other assigned duties.

Real-time monitoring of KPIs in the Contact Center, processing time-off requests, skills adjustments to maintain KPIs, support teams with workforce-related data, and update reports for campaigns and agent adherence.

Lead the end-to-end delivery of complex software applications, create frameworks and abstractions, drive technical decision-making, take ownership of critical projects, provide mentorship, and advocate for technologies and processes to improve efficiency across teams.

Provide technical leadership in data engineering, design and implement data architectures, develop efficient data pipelines and optimize databases. Lead complex data engineering projects, ensure data quality and governance, collaborate with stakeholders, and adhere to software engineering best practices.

Define, standardize, implement, and evangelize software development approaches. Build architectures to enhance productivity and robustness. Incorporate feedback loops, drive operational excellence, and foster collaboration. Identify underinvested areas and lead impactful changes.

Lead the implementation of cutting-edge ML infrastructure, provide technical leadership to a team of ML engineers, collaborate with data scientists, architect and execute model deployment strategies, engineer CI/CD pipelines, define and refine performance benchmarks, and stay updated with industry trends and emerging technologies.

Seeking a Sr. Software Engineer with extensive experience in DevOps, AWS, infrastructure management, and release automation. Responsibilities include improving performance, scalability, and usability of applications, collaborating with development teams, and writing clean, high-quality code.

Responsible for creating innovative solutions, defining roadmap, managing engineering team, providing technical leadership, and driving software development. Collaborate with Product, Design, and QA teams to deliver quality applications on time and on budget. Promote a positive engineering culture of excellence and identify risks proactively.

Lead the design and implementation of scalable data architectures, develop data pipelines, manage databases, ensure data quality and governance, provide mentorship, collaborate with stakeholders, and optimize performance. Strong software engineering expertise required.

Assist in managing customer communications campaigns by building multichannel campaigns, segmenting customer data, managing timelines, reviewing campaign performance, and advocating for the customer perspective. Recommend and implement improvements to enhance program efficiency and customer experience. Monitor and troubleshoot program performance to ensure success.

Collaborate with cross-functional teams to develop high-quality software applications following industry best practices. Identify and address technical debt, performance issues, and bugs to improve software reliability. Stay updated on emerging technologies and propose innovative solutions to enhance products and services.

Define, standardize, and implement software development approaches. Lead architecture and solutions development. Drive operational excellence and continuous improvement. Provide technical and organizational guidance. Identify investment opportunities and lead strategic projects.

Contribute to the end-to-end delivery of complex software applications, provide technical leadership, conduct code reviews, mentor junior engineers, and drive adoption of new practices within the team. Responsible for troubleshooting issues, maintaining reliability and performance, leading multiple features, and orchestrating work within the team. Requires 6+ years of experience, proficiency in Java, Python, or C++, and strong understanding of data structures and algorithms.

Actively contribute to end-to-end delivery of complex software applications, provide technical leadership, conduct code reviews, mentor junior engineers, drive adoption of new practices, own and resolve customer issues, lead multiple features and projects.

The Senior Manager of Risk Management at Oportun manages credit policy and risk performance for Installment loans, developing and enhancing credit strategies and working with cross-functional teams to deliver strategies. The role requires a Bachelor's Degree in Engineering, Mathematics, Economics, Finance, or other analytical discipline, 4+ years of experience in an analytics role, exceptional problem-solving skills, SQL/Python or SQL/SAS skills, and strong communication skills.