ABOUT OPORTUN Oportun (Nasdaq: OPRT) is a mission-driven fintech that puts its 2.0 million members' financial goals within reach. With intelligent borrowing, savings, and budgeting capabilities, Oportun empowers members with the confidence to build a better financial future. Since inception, Oportun has provided more than $16.6 billion in responsible and affordable credit, saved its members more than $2.4 billion in interest and fees, and helped its members save an average of more than $1,800 annually. Oportun has been certified as a Community Development Financial Institution (CDFI) since 2009. WORKING AT OPORTUN Working at Oportun means enjoying a differentiated experience of being part of a team that fosters a diverse, equitable and inclusive culture where we all feel a sense of belonging and are encouraged to share our perspectives. This inclusive culture is directly connected to our organization's performance and ability to fulfill our mission of delivering affordable credit to those left out of the financial mainstream. We celebrate and nurture our inclusive culture through our employee resource groups. The Staff Software Engineer role offers a unique opportunity to combine your technical expertise with strategic thinking, guiding the team in making architectural decisions, mentoring senior engineers, and actively contributing to the evolution of our technology stack. This role is the SME and go-to” person in the team, and the individual works well under pressure, responds with urgency and operates with a high degree of autonomy, accountability, and maturity. As a Staff Software engineer, you are the domain expert in multiple areas , and can provide regular insight to product and design leads of all levels that are working within these areas. You can identify, tackle and deliver on strategically important problems for the group whether it is Product, Platform, or Infrastructure. This role affords opportunities to lead and contribute to design and implementation of multiple large projects or lead a large org or company-wide objective, including the possibility of (technically) leading multiple small(er) teams, or a large team. Overall, this role has all the ingredients for the incumbent to command and hold respect as an expert and to develop a track-record of deep and/or broad impact to a product or technology area. RESPONSIBILITIES Architecture Design: Define and implement scalable, secure, and high-performance software architectures. Develop architectural blueprints and technical roadmaps aligned with business objectives. Ensure best practices, design patterns, and architectural principles are followed. Technology Strategy: Evaluate and recommend appropriate technologies, tools, and frameworks. Stay up-to-date with emerging technologies and industry trends to drive innovation. Ensure technology alignment with enterprise standards and business goals. Collaboration & Leadership: Work closely with development teams, product managers, and stakeholders to translate requirements into technical solutions. Provide technical leadership, mentorship, and guidance to engineering teams. Collaborate with DevOps teams to ensure CI/CD pipelines, scalability, and performance tuning. Governance & Compliance: Define and enforce architectural governance, coding standards, and security policies. Conduct design and code reviews to ensure compliance with architectural guidelines. Identify potential risks and create mitigation plans. Performance Optimization: Analyze system performance and identify bottlenecks to improve efficiency. Ensure systems are resilient, scalable, and maintainable. REQUIREMENTS: 11+ years of related experience with a Bachelor's degree; or a Master's degree with an equivalent combination of education and experience. Proven track record of delivering sophisticated software solutions in a leadership capacity with high quality. Exceptional problem-solving and analytical skills, with a passion for tackling complex technical and business problems. challenges. Mastery over data structures, algorithms, and software design principles. Demonstrated experience in web application development, Java, Micro services, Spring boot, Spring Framework, RESTful APIs, Hibernate Experience in end to end technical design for mobile apps, preferably React Native - Java combination Experience in Front-End development React JS / Angular. Ability to quickly learn new systems/requirements and create POCs and develop code. Experience in relational databases like MySQL, MariaDB and SQL Solid grasp of version control systems, such as Git. Knowledge in OAuth2. Proven ability to mentor and lead a team of engineers, fostering a collaborative and supportive work environment. Excellent communication and interpersonal abilities, with a track record of effectively collaborating in a team-oriented environment. Flair to identify improvisation areas and provide solutions with newer technologies PREFERRED SKILLS/EXPERIENCE: Experience with cloud technologies, preferably AWS or Azure, is highly desirable. Experience in working on Authentication and Authorization with any Identity Providers. Experience in automation with Web Driver IO. Knowledge/experience in working with DevOps/CICD. We are proud to be an Equal Opportunity Employer and consider all qualified applicants for employment opportunities without regard to race, age, color, religion, gender, national origin, disability, sexual orientation, veteran status or any other category protected by the laws or regulations in the locations where we operate. Role & responsibilities Preferred candidate profile

We are growing our world-class team of mission-driven, entrepreneurial Data Scientists who are passionate about broadening financial inclusion by untapping insights from non-traditional data. Be part of the team responsible for developing and enhancing Oportuns core intellectual property used in scoring risk for underbanked consumers that lack a traditional credit bureau score. In this role you will be on the cutting edge working with large and diverse (i.e. data from dozens of sources including transactional, mobile, utility, and other financial services) alternative data sets and utilize machine learning and statistical modeling to build scores and strategies for managing risk, collection/loss mitigation, take-up rates and fraud. You will also drive growth and optimize marketing spend across channels by leveraging alternative data to help predict which consumers would likely be interested in Oportuns affordable, credit building loan product. RESPONSIBILITIES: Develop data products and machine learning models used in Risk, Fraud, Collections, and portfolio management, and provide frictionless customer experience for various products and services Oportun provides. Build accurate and automated monitoring tools which can help us to keep a close eye on the performance of the models and rules. Build model deployment platform which can shorten the time of implementing new models. Build end-to-end reusable pipelines from data acquisition to model output delivery. Lead initiatives to drive business value from start to finish including project planning, communication, and stakeholder management. Lead discussions with Compliance, Bank Partners, and Model Risk Management teams to facilitate the Model Governance Activities such as Model Validations and Monitoring. Lead, coach and partner with the DS and non-DS team to deliver results QUALIFICATIONS: A relentless problem solver and out of the box thinker with a proven track record of driving business results in a timely manner Masters degree or PhD in Statistics, Mathematics, Computer Science, Engineering or Economics or other quantitative discipline Hands on experience leveraging machine learning techniques such as Gradient Boosting, Logistic Regression and Neural Network to solve real world problems 9+ years of hands-on experience with data extraction, cleaning, analysis and building reusable data pipelines; Proficient in SQL, Spark SQL and/or Hive 9+ years of experience in leveraging modern machine learning toolset and programming languages such as Python Excellent written and oral communication skills Strong stakeholder management and project management skills Comfortable in a high-growth, fast-paced, agile environment Experience working with AWS EMR, Sage-maker or other cloud-based platforms is a plus Experience with HDFS, Hive, Shell script and other big data tools is a plus

ABOUT OPORTUN Oportun (Nasdaq: OPRT) is a mission-driven fintech that puts its 2.0 million members' financial goals within reach. With intelligent borrowing, savings, and budgeting capabilities, Oportun empowers members with the confidence to build a better financial future. Since inception, Oportun has provided more than $16.6 billion in responsible and affordable credit, saved its members more than $2.4 billion in interest and fees, and helped its members save an average of more than $1,800 annually. Oportun has been certified as a Community Development Financial Institution (CDFI) since 2009. WORKING AT OPORTUN Working at Oportun means enjoying a differentiated experience of being part of a team that fosters a diverse, equitable and inclusive culture where we all feel a sense of belonging and are encouraged to share our perspectives. This inclusive culture is directly connected to our organization's performance and ability to fulfill our mission of delivering affordable credit to those left out of the financial mainstream. We celebrate and nurture our inclusive culture through our employee resource groups. As a Sr. Data Engineer at Oportun, you will be a key member of our team, responsible for designing, developing, and maintaining sophisticated software / data platforms in achieving the charter of the engineering group. Your mastery of a technical domain enables you to take up business problems and solve them with a technical solution. With your depth of expertise and leadership abilities, you will actively contribute to architectural decisions, mentor junior engineers, and collaborate closely with cross-functional teams to deliver high-quality, scalable software solutions that advance our impact in the market. This is a role where you will have the opportunity to take up responsibility in leading the technology effort from technical requirements gathering to final successful delivery of the product - for large initiatives (cross-functional and multi-month-long projects). RESPONSIBILITIES Data Architecture and Design: Lead the design and implementation of scalable, efficient, and robust data architectures to meet business needs and analytical requirements. Collaborate with stakeholders to understand data requirements, build subject matter expertise, and define optimal data models and structures. Data Pipeline Development and Optimization: Design and develop data pipelines, ETL processes, and data integration solutions for ingesting, processing, and transforming large volumes of structured and unstructured data. Optimize data pipelines for performance, reliability, and scalability. Database Management and Optimization: Oversee the management and maintenance of databases, data warehouses, and data lakes to ensure high performance, data integrity, and security. Implement and manage ETL processes for efficient data loading and retrieval. Data Quality and Governance: Establish and enforce data quality standards, validation rules, and data governance practices to ensure data accuracy, consistency, and compliance with regulations. Drive initiatives to improve data quality and documentation of data assets. Mentorship and Leadership: Provide technical leadership and mentorship to junior team members, assisting in their skill development and growth. Lead and participate in code reviews, ensuring best practices and high-quality code. Collaboration and Stakeholder Management: Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand their data needs and deliver solutions that meet those needs. Communicate effectively with non-technical stakeholders to translate technical concepts into actionable insights and business value. Performance Monitoring and Optimization: Implement monitoring systems and practices to track data pipeline performance, identify bottlenecks, and optimize for improved efficiency and scalability. Common Requirements You have a strong understanding of a business or system domain with sufficient knowledge & expertise around the appropriate metrics and trends. You collaborate closely with product managers, designers, and fellow engineers to understand business needs and translate them into effective solutions. You provide technical leadership and expertise, guiding the team in making sound architectural decisions and solving challenging technical problems. Your solutions anticipate scale, reliability, monitoring, integration, and extensibility. You conduct code reviews and provide constructive feedback to ensure code quality, performance, and maintainability. You mentor and coach junior engineers, fostering a culture of continuous learning, growth, and technical excellence within the team. You play a significant role in the ongoing evolution and refinement of current tools and applications used by the team, and drive adoption of new practices within your team. You take ownership of (customer) issues, including initial troubleshooting, identification of root cause and issue escalation or resolution, while maintaining the overall reliability and performance of our systems. You set the benchmark for responsiveness and ownership and overall accountability of engineering systems. You independently drive and lead multiple features, contribute to (a) large project(s) and lead smaller projects. You can orchestrate work that spans multiples engineers within your team and keep all relevant stakeholders informed. You support your lead/EM about your work and that of the team, that they need to share with the stakeholders, including escalation of issues QUALIDICATIONS Bachelor's or Master's degree in Computer Science, Data Science, or a related field. 5+ years of experience in data engineering, with a focus on data architecture, ETL, and database management. Proficiency in programming languages like Python/PySpark and Java or Scala Expertise in big data technologies such as Hadoop, Spark, Kafka, etc. In-depth knowledge of SQL and experience with various database technologies (e.g., PostgreSQL, MariaDB, NoSQL databases). Experience and expertise in building complex end-to-end data pipelines. Experience with orchestration and designing job schedules using the CICD tools like Jenkins, Airflow or Databricks Ability to work in an Agile environment (Scrum, Lean, Kanban, etc) Ability to mentor junior team members. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their data services (e.g., AWS Redshift, S3, Azure SQL Data Warehouse). Strong leadership, problem-solving, and decision-making skills. Excellent communication and collaboration abilities. Familiarity or certification in Databricks is a plus. We are proud to be an Equal Opportunity Employer and consider all qualified applicants for employment opportunities without regard to race, age, color, religion, gender, national origin, disability, sexual orientation, veteran status or any other category protected by the laws or regulations in the locations where we operate.

About Oportun Oportun (Nasdaq: OPRT) is a mission-driven fintech that puts its 2.0 million members' financial goals within reach. With intelligent borrowing, savings, and budgeting capabilities, Oportun empowers members with the confidence to build a better financial future. Since inception, Oportun has provided more than $16.6 billion in responsible and affordable credit, saved its members more than $2.4 billion in interest and fees, and helped its members save an average of more than $1,800 annually. Oportun has been certified as a Community Development Financial Institution (CDFI) since 2009. WORKING AT OPORTUN Working at Oportun means enjoying a differentiated experience of being part of a team that fosters a diverse, equitable and inclusive culture where we all feel a sense of belonging and are encouraged to share our perspectives. This inclusive culture is directly connected to our organization's performance and ability to fulfill our mission of delivering affordable credit to those left out of the financial mainstream. We celebrate and nurture our inclusive culture through our employee resource groups. Position Summary Oportun is seeking an experienced and dynamic Director of HR to lead the Human Resources and Talent Acquisition (TA) function for our India team. This senior leadership role will be responsible for driving HR strategy, organizational development, workforce planning, leadership coaching, and employee engagement while ensuring alignment with Oportun’s global HR practices. As a key partner to business leaders, this individual will manage end-to-end HR operations, support talent acquisition efforts, and foster a high-performance culture. The ideal candidate will bring deep expertise in HR strategy, talent management, and organizational effectiveness to scale and optimize Oportun’s India workforce. Responsibilities HR Strategy & Execution: Develop and implement HR strategies aligned with Oportun’s global objectives, ensuring they are tailored to the unique needs of the India market. Lead initiatives focused on workforce planning, talent acquisition, and employee engagement that directly support the business's growth. Talent Management: Partner with business leaders to drive talent management initiatives, including leadership development, succession planning, and performance management. Implement programs designed to attract, retain, and develop high-potential employees. Organizational Development: Work closely with business leaders to assess and optimize organizational design and structure. Identify and drive key initiatives to improve organizational effectiveness, productivity, and employee satisfaction. Use data-driven insights to guide decision-making around team structures, roles, and responsibilities. Leadership Coaching: Provide executive coaching and guidance to senior leadership on building strong teams, improving leadership effectiveness, and fostering a high-performance culture. Support leaders in handling complex employee relations issues and coaching them on conflict resolution and performance improvement. Employee Engagement & Culture: Champion employee engagement initiatives, ensuring that Oportun’s values and culture are deeply embedded in the India workforce. Develop and implement programs aimed at improving morale, fostering a collaborative environment, and increasing employee retention. Talent Acquisition (TA): Partner with the global Talent Acquisition team to drive recruitment strategies for India, ensuring the company attracts top-tier talent. Oversee the end-to-end recruitment process for key roles, collaborating with hiring managers and HR teams to ensure effective talent sourcing and onboarding. HR Operations: Oversee day-to-day HR operations, ensuring smooth execution of HR processes such as performance reviews, compensation planning, compliance, and benefits administration. Ensure consistent application of global HR practices while adjusting for local nuances in the India market. Change Management: Lead organizational change initiatives, supporting business transformations and ensuring smooth transitions. Provide leadership and guidance on change management strategies to ensure successful implementation of HR-driven changes. Metrics & Reporting: Develop key performance indicators (KPIs) to measure HR effectiveness. Regularly report on HR metrics such as employee turnover, talent acquisition effectiveness, engagement scores, and leadership development outcomes to the senior leadership team. Qualifications Bachelor’s degree in Human Resources, Business Administration, or a related field; Master’s degree is a plus. 9 years of HR experience, with at least 5 years in a leadership role overseeing HR and Talent Acquisition functions. Proven experience partnering with senior business leaders in a fast-paced, globally dispersed organization (preferably headquartered in the US). Strong background in HR strategy, talent management, performance management, succession planning, and leadership coaching. Experience designing and implementing organization-wide HR programs covering recruitment, talent development, workforce planning, and employee engagement. Workday and Greenhouse experience required, with a strong understanding of HRIS and ATS best practices. We are proud to be an Equal Opportunity Employer and consider all qualified applicants for employment opportunities without regard to race, age, color, religion, gender, national origin, disability, sexual orientation, veteran status or any other category protected by the laws or regulations in the locations where we operate. California applicants can find a copy of Oportun's CCPA Notice here: https://oportun.com/privacy/california-privacy-notice/. We will never request personal identifiable information (bank, credit card, etc.) before you are hired. We do not charge you for pre-employment fees such as background checks, training, or equipment. If you think you have been a victim of fraud by someone posing as us, please report your experience to the FBI’s Internet Crime Complaint Center (IC3). Show more Show less

About Oportun Oportun (Nasdaq: OPRT) is a mission-driven fintech that puts its 2.0 million members' financial goals within reach. With intelligent borrowing, savings, and budgeting capabilities, Oportun empowers members with the confidence to build a better financial future. Since inception, Oportun has provided more than $16.6 billion in responsible and affordable credit, saved its members more than $2.4 billion in interest and fees, and helped its members save an average of more than $1,800 annually. Oportun has been certified as a Community Development Financial Institution (CDFI) since 2009. WORKING AT OPORTUN Working at Oportun means enjoying a differentiated experience of being part of a team that fosters a diverse, equitable and inclusive culture where we all feel a sense of belonging and are encouraged to share our perspectives. This inclusive culture is directly connected to our organization's performance and ability to fulfill our mission of delivering affordable credit to those left out of the financial mainstream. We celebrate and nurture our inclusive culture through our employee resource groups. Summary We are growing our world-class team of mission-driven, entrepreneurial Data Scientists who are passionate about broadening financial inclusion by untapping insights from non-traditional data. Be part of the team responsible for developing and enhancing Oportun’s core intellectual property used in scoring risk for underbanked consumers that lack a traditional credit bureau score. In this role you will be on the cutting edge working with large and diverse (i.e. data from dozens of sources including transactional, mobile, utility, and other financial services) alternative data sets and utilize machine learning and statistical modeling to build scores and strategies for managing risk, collection/loss mitigation, take-up rates and fraud. You will also drive growth and optimize marketing spend across channels by leveraging alternative data to help predict which consumers would likely be interested in Oportun’s affordable, credit building loan product. Responsibilities Develop data products and machine learning models used in Risk, Fraud, Collections, and portfolio management, and provide frictionless customer experience for various products and services Oportun provides. Build accurate and automated monitoring tools which can help us to keep a close eye on the performance of the models and rules. Build model deployment platform which can shorten the time of implementing new models. Build end-to-end reusable pipelines from data acquisition to model output delivery. Lead initiatives to drive business value from start to finish including project planning, communication, and stakeholder management. Lead discussions with Compliance, Bank Partners, and Model Risk Management teams to facilitate the Model Governance Activities such as Model Validations and Monitoring. Lead, coach and partner with the DS and non-DS team to deliver results Qualifications A relentless problem solver and out of the box thinker with a proven track record of driving business results in a timely manner Master’s degree or PhD in Statistics, Mathematics, Computer Science, Engineering or Economics or other quantitative discipline (Bachelor’s degree with significant relevant experience will be considered). Hands on experience leveraging machine learning techniques such as Gradient Boosting, Logistic Regression and Neural Network to solve real world problems 8+ years of experience in leveraging modern machine learning toolset and programming languages such as Python 8+ years of hands-on experience with data extraction, cleaning, analysis and building reusable data pipelines; Proficient in SQL, Spark SQL and/or Hive Excellent written and oral communication skills Strong stakeholder management and project management skills Comfortable in a high-growth, fast-paced, agile environment Experience working with AWS EMR, Sage-maker or other cloud-based platforms is a plus Experience with HDFS, Hive, Shell script and other big data tools is a plus We are proud to be an Equal Opportunity Employer and consider all qualified applicants for employment opportunities without regard to race, age, color, religion, gender, national origin, disability, sexual orientation, veteran status or any other category protected by the laws or regulations in the locations where we operate. California applicants can find a copy of Oportun's CCPA Notice here: https://oportun.com/privacy/california-privacy-notice/. We will never request personal identifiable information (bank, credit card, etc.) before you are hired. We do not charge you for pre-employment fees such as background checks, training, or equipment. If you think you have been a victim of fraud by someone posing as us, please report your experience to the FBI’s Internet Crime Complaint Center (IC3). Show more Show less

About Oportun Oportun (Nasdaq: OPRT) is a mission-driven fintech that puts its 2.0 million members' financial goals within reach. With intelligent borrowing, savings, and budgeting capabilities, Oportun empowers members with the confidence to build a better financial future. Since inception, Oportun has provided more than $16.6 billion in responsible and affordable credit, saved its members more than $2.4 billion in interest and fees, and helped its members save an average of more than $1,800 annually. Oportun has been certified as a Community Development Financial Institution (CDFI) since 2009. WORKING AT OPORTUN Working at Oportun means enjoying a differentiated experience of being part of a team that fosters a diverse, equitable and inclusive culture where we all feel a sense of belonging and are encouraged to share our perspectives. This inclusive culture is directly connected to our organization's performance and ability to fulfill our mission of delivering affordable credit to those left out of the financial mainstream. We celebrate and nurture our inclusive culture through our employee resource groups. As a Sr. Data Engineer at Oportun, you will be a key member of our team, responsible for designing, developing, and maintaining sophisticated software / data platforms in achieving the charter of the engineering group. Your mastery of a technical domain enables you to take up business problems and solve them with a technical solution. With your depth of expertise and leadership abilities, you will actively contribute to architectural decisions, mentor junior engineers, and collaborate closely with cross-functional teams to deliver high-quality, scalable software solutions that advance our impact in the market. This is a role where you will have the opportunity to take up responsibility in leading the technology effort – from technical requirements gathering to final successful delivery of the product - for large initiatives (cross-functional and multi-month-long projects). Responsibilities Data Architecture and Design: Lead the design and implementation of scalable, efficient, and robust data architectures to meet business needs and analytical requirements. Collaborate with stakeholders to understand data requirements, build subject matter expertise, and define optimal data models and structures. Data Pipeline Development And Optimization Design and develop data pipelines, ETL processes, and data integration solutions for ingesting, processing, and transforming large volumes of structured and unstructured data. Optimize data pipelines for performance, reliability, and scalability. Database Management And Optimization Oversee the management and maintenance of databases, data warehouses, and data lakes to ensure high performance, data integrity, and security. Implement and manage ETL processes for efficient data loading and retrieval. Data Quality And Governance Establish and enforce data quality standards, validation rules, and data governance practices to ensure data accuracy, consistency, and compliance with regulations. Drive initiatives to improve data quality and documentation of data assets. Mentorship And Leadership Provide technical leadership and mentorship to junior team members, assisting in their skill development and growth. Lead and participate in code reviews, ensuring best practices and high-quality code. Collaboration And Stakeholder Management Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand their data needs and deliver solutions that meet those needs. Communicate effectively with non-technical stakeholders to translate technical concepts into actionable insights and business value. Performance Monitoring And Optimization Implement monitoring systems and practices to track data pipeline performance, identify bottlenecks, and optimize for improved efficiency and scalability. Common Requirements You have a strong understanding of a business or system domain with sufficient knowledge & expertise around the appropriate metrics and trends. You collaborate closely with product managers, designers, and fellow engineers to understand business needs and translate them into effective solutions. You provide technical leadership and expertise, guiding the team in making sound architectural decisions and solving challenging technical problems. Your solutions anticipate scale, reliability, monitoring, integration, and extensibility. You conduct code reviews and provide constructive feedback to ensure code quality, performance, and maintainability. You mentor and coach junior engineers, fostering a culture of continuous learning, growth, and technical excellence within the team. You play a significant role in the ongoing evolution and refinement of current tools and applications used by the team, and drive adoption of new practices within your team. You take ownership of (customer) issues, including initial troubleshooting, identification of root cause and issue escalation or resolution, while maintaining the overall reliability and performance of our systems. You set the benchmark for responsiveness and ownership and overall accountability of engineering systems. You independently drive and lead multiple features, contribute to (a) large project(s) and lead smaller projects. You can orchestrate work that spans multiples engineers within your team and keep all relevant stakeholders informed. You support your lead/EM about your work and that of the team, that they need to share with the stakeholders, including escalation of issues QUALIDICATIONS Bachelor's or Master's degree in Computer Science, Data Science, or a related field. 5+ years of experience in data engineering, with a focus on data architecture, ETL, and database management. Proficiency in programming languages like Python/PySpark and Java or Scala Expertise in big data technologies such as Hadoop, Spark, Kafka, etc. In-depth knowledge of SQL and experience with various database technologies (e.g., PostgreSQL, MariaDB, NoSQL databases). Experience and expertise in building complex end-to-end data pipelines. Experience with orchestration and designing job schedules using the CICD tools like Jenkins, Airflow or Databricks Ability to work in an Agile environment (Scrum, Lean, Kanban, etc) Ability to mentor junior team members. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their data services (e.g., AWS Redshift, S3, Azure SQL Data Warehouse). Strong leadership, problem-solving, and decision-making skills. Excellent communication and collaboration abilities. Familiarity or certification in Databricks is a plus. We are proud to be an Equal Opportunity Employer and consider all qualified applicants for employment opportunities without regard to race, age, color, religion, gender, national origin, disability, sexual orientation, veteran status or any other category protected by the laws or regulations in the locations where we operate. California applicants can find a copy of Oportun's CCPA Notice here: https://oportun.com/privacy/california-privacy-notice/. We will never request personal identifiable information (bank, credit card, etc.) before you are hired. We do not charge you for pre-employment fees such as background checks, training, or equipment. If you think you have been a victim of fraud by someone posing as us, please report your experience to the FBI’s Internet Crime Complaint Center (IC3). Show more Show less

About Oportun Oportun (Nasdaq: OPRT) is a mission-driven fintech that puts its 2.0 million members' financial goals within reach. With intelligent borrowing, savings, and budgeting capabilities, Oportun empowers members with the confidence to build a better financial future. Since inception, Oportun has provided more than $16.6 billion in responsible and affordable credit, saved its members more than $2.4 billion in interest and fees, and helped its members save an average of more than $1,800 annually. Oportun has been certified as a Community Development Financial Institution (CDFI) since 2009. WORKING AT OPORTUN Working at Oportun means enjoying a differentiated experience of being part of a team that fosters a diverse, equitable and inclusive culture where we all feel a sense of belonging and are encouraged to share our perspectives. This inclusive culture is directly connected to our organization's performance and ability to fulfill our mission of delivering affordable credit to those left out of the financial mainstream. We celebrate and nurture our inclusive culture through our employee resource groups. Position Overview The mission for the Engineering Ecosystem Org at Oportun is to be the force-multiplicative Org that empowers engineers to deliver member value with high-speed and high-quality. Teams in this Org play a vital role in designing, developing, and maintaining cutting-edge software solutions that power our mission and advance our business. We strike a balance between leveraging leading tools and developing in-house solutions to create member experiences that empower their financial independence. As a Senior Manager, Software Engineering at Oportun, you will lead a team that is responsible for designing, developing, and maintaining large-scale, high-throughput foundational services and libraries. Responsibilities Leading the team to (re)Design, Build and maintain large-scale, high-throughput foundational services and libraries Recruit and groom strong engineers and future technical leaders Build strong, high performing teams by forming a strong team culture of safety, accountability, and empathy and effectively driving team execution Collaborate with partners in Product, Design, and other engineering leads to drive team vision and strategy - product roadmap, execution and resource plan, and setting priorities Level up the technical skills of your team by Coaching the team to create scalable and secure system designs. Reviewing pull requests and technical design documents. Being able and willing to get your hands dirty and help your team debug issues and ship code when needed. Drive strong engineering practices around product development execution, operational excellence in observability, quality, reliability, and developer efficiency. Effectively communicate and build alignment up, down and sideways across the organization. Be a champion for Diversity and Inclusion by sourcing, hiring, and advocating for a diverse group of engineers. Responsible for creating and influencing innovative solutions that meet not only functional, but also performance, security, scalability and reliability requirements. Highly motivated self-starter who loves ownership and responsibility while working in a collaborative and interdependent team environment. Work with multiple teams of engineers to design, develop, and test major software and systems components using an agile, scrum methodology. Translation of complex functional and technical requirements into detailed execution plans and schedules; manage the day-to-day activities of the engineering team by defining, implementing and maintaining a coherent, progressive development strategy for our product line. Management and execution against project plans and delivery commitments. Management of departmental resources, staffing, and enhancing and maintaining a best-of-class engineering team. Evolution of the software engineering practice within the organization, including better reporting, tools, and evolution of development methodology. Continue to build an effective development organization by developing and managing the group, and conducting performance reviews of team members. Requirements 13+ years of overall experience in engineering with a Master’s degree in Computer Science, Computer Engineering or related technical discipline. 3+ years of recent management experience managing 10+ team members. 10+ years of individual contributor engineering experience engineering products with a modern tech stack, preferably Java, REST, Spring Framework, any relational DB, CI/CD in an agile environment. Demonstrated track record of building and managing high performing engineering teams in a fast paced, high impact, high growth environment. Passion for building and shipping products that users love with high quality and speed. Passion for career development. You don’t shy away from difficult performance conversations, and you recognize the relationship between constructive feedback and career growth. Enjoy staying technical and is able and willing jump in and code or debug issues to help your team. Expertise with a NoSQL Database like MongoDB. Possess exceptional written and verbal communication skills. Strong project management skills and can keep your team and yourself organized with effective prioritization, while juggling multiple projects and priorities. Growth mindset and continually look to improve and expand your skill set. Demonstrated ability to collaborate well with product, design, and other engineering teams to ship services. Experience in the design of new systems or redesign of existing systems to meet business requirements, changing needs, or newer technology. Ability to break down complex concepts into easily understood frameworks and models. Excellence in technical communication with peers and non-technical cohorts. Knowledge of professional software engineering practices & best practices for the full software development life cycle including coding standards, code reviews, source control management, build processes, testing, and operations. Passion and convictions and the innate ability to inspire passion in others, and the ability to establish and sell the business and technical vision for a complicated problem area. Preffered Skills Experience or Knowledge in financial services We are proud to be an Equal Opportunity Employer and consider all qualified applicants for employment opportunities without regard to race, age, color, religion, gender, national origin, disability, sexual orientation, veteran status or any other category protected by the laws or regulations in the locations where we operate. California applicants can find a copy of Oportun's CCPA Notice here: https://oportun.com/privacy/california-privacy-notice/. We will never request personal identifiable information (bank, credit card, etc.) before you are hired. We do not charge you for pre-employment fees such as background checks, training, or equipment. If you think you have been a victim of fraud by someone posing as us, please report your experience to the FBI’s Internet Crime Complaint Center (IC3). Show more Show less

About Oportun Oportun (Nasdaq: OPRT) is a mission-driven fintech that puts its 2.0 million members' financial goals within reach. With intelligent borrowing, savings, and budgeting capabilities, Oportun empowers members with the confidence to build a better financial future. Since inception, Oportun has provided more than $16.6 billion in responsible and affordable credit, saved its members more than $2.4 billion in interest and fees, and helped its members save an average of more than $1,800 annually. Oportun has been certified as a Community Development Financial Institution (CDFI) since 2009. WORKING AT OPORTUN Working at Oportun means enjoying a differentiated experience of being part of a team that fosters a diverse, equitable and inclusive culture where we all feel a sense of belonging and are encouraged to share our perspectives. This inclusive culture is directly connected to our organization's performance and ability to fulfill our mission of delivering affordable credit to those left out of the financial mainstream. We celebrate and nurture our inclusive culture through our employee resource groups. Position Overview We are looking for a results-driven and customer-focused Senior Product Manager to join Oportun’s Collections product organization. We develop and manage the systems and experiences that enable Oportun to effectively manage delinquencies and provide crucial support to members during hardship. In this role, you will articulate product strategy, set objectives and key results, define roadmaps, and work with the cross-functional team to deliver best-in-class solutions. If you thrive in a dynamic fast-paced environment, have a passion for building products that delight users, and are outcome-driven, join Oportun and grow with one of the most innovative and progressive FinTech companies. Responsibilities Strategic Leadership: Develop and execute a comprehensive product strategy aligned with the company’s vision and growth objectives. Identify opportunities and set long-term product roadmaps. Cross-Functional Collaboration: Lead a high-performing cross-functional product team that includes engineering, design, data, marketing, and others to implement and build new capabilities and increase reliability and scalability. Drive strong collaboration and alignment up, down, and across the organization Customer Focus & Data-driven Decision Making: Advocate for the customer by gathering and analyzing feedback, conducting research, and leveraging data to drive product decisions. Identify gaps in experiences across channels and build solutions that will positively impact our key metrics. Implement A/B testing and experimentation to validate product enhancements and ensure exceptional user experiences. Performance Metrics: Establish and monitor key performance indicators (KPIs) to measure product success and impact. Use data-driven insights to optimize product performance and make informed decisions. Stakeholder Communication: Communicate product vision, strategy, and updates to executive leadership, board members, and other key stakeholders. Present compelling business cases and demonstrate the value of product investments. Requirements Technical proficiency: Bachelor’s degree in computer science, engineering, business, or a related field; MBA or relevant advanced degree is a plus. Strong track record: 5+ years of product management experience in high-growth environments, preferably in the financial services industry (FinTech, challenger bank, etc.), with a strong focus on customer-facing products and user experience. Any experience within the Collections space will be a bonus. Experience working with business executives from many disciplines (compliance, risk, operations, fraud, technology, business intelligence, finance, training, legal, cybersecurity, etc.) to understand the need, define features, and prioritize and manage scope to operate in an iterative agile delivery framework. Customer-centric: You are passionate about improving the financial health of Oportun’s members. Analytical problem solver: You have experience working and delivering on complex problems. You excel in making data-informed decisions (testing and experimentation, defining metrics, data analysis). Visionary: You have a track record of dreaming big and building products that drive significant impact Excellent communicator: You are a clear and concise communicator, and you have excellent documentation skills. Ownership: You’re a true steward of the product. You take ownership seriously, are rigorously accountable, and possess the drive and determination to ensure the product's success, no matter the obstacles Bonus Points: You have experience launching products within complex legal and regulatory frameworks such as Finance, experience with SQL, and experience working with a multi-national workforce. Show more Show less

About Oportun Oportun (Nasdaq: OPRT) is a mission-driven fintech that puts its 2.0 million members' financial goals within reach. With intelligent borrowing, savings, and budgeting capabilities, Oportun empowers members with the confidence to build a better financial future. Since inception, Oportun has provided more than $16.6 billion in responsible and affordable credit, saved its members more than $2.4 billion in interest and fees, and helped its members save an average of more than $1,800 annually. Oportun has been certified as a Community Development Financial Institution (CDFI) since 2009. WORKING AT OPORTUN Working at Oportun means enjoying a differentiated experience of being part of a team that fosters a diverse, equitable and inclusive culture where we all feel a sense of belonging and are encouraged to share our perspectives. This inclusive culture is directly connected to our organization's performance and ability to fulfill our mission of delivering affordable credit to those left out of the financial mainstream. We celebrate and nurture our inclusive culture through our employee resource groups. Company Overview At Oportun, we are on a mission to foster financial inclusion for all by providing affordable and responsible lending solutions to underserved communities. As a purpose-driven financial technology company, we believe in empowering our customers with access to responsible credit that can positively transform their lives. Our relentless commitment to innovation and data-driven practices has positioned us as a leader in the industry, and we are actively seeking exceptional individuals to join our team as Senior Software Engineer to play a critical role in driving positive change. Position overview We are seeking a highly skilled Platform Engineer with expertise in building self-serve platforms that combine real-time ML deployment and advanced data engineering capabilities. This role requires a blend of cloud-native platform engineering, data pipeline development, and deployment expertise. The ideal candidate will have a strong background in implementing data workflows, building platforms to enable self-serve for ML pipelines while enabling seamless deployments. Responsibilities Platform Engineering Design and build self-serve platforms that support real-time ML deployment and robust data engineering workflows. Create APIs and backend services using Python and FastAPI to manage and monitor ML workflows and data pipelines. Real-Time ML Deployment Implement platforms for real-time ML inference using tools like AWS SageMaker and Databricks. Enable model versioning, monitoring, and lifecycle management with observability tools such as New Relic. Data Engineering Build and optimise ETL/ELT pipelines for data preprocessing, transformation, and storage using PySpark and Pandas. Develop and manage feature stores to ensure consistent, high-quality data for ML model training and deployment. Design scalable, distributed data pipelines on platforms like AWS, integrating tools such as DynamoDB, PostgreSQL, MongoDB, and MariaDB. CI/CD and Automation Use CI/CD pipelines using Jenkins, GitHub Actions, and other tools for automated deployments and testing. Automate data validation and monitoring processes to ensure high-quality and consistent data workflows. Documentation and Collaboration Create and maintain detailed technical documentation, including high-level and low-level architecture designs. Collaborate with cross-functional teams to gather requirements and deliver solutions that align with business goals. Participate in Agile processes such as sprint planning, daily standups, and retrospectives using tools like Jira. Experience Required Qualifications 5-10 years experience in IT 5-8 years experience in platform backend engineering 1 year experience in DevOps & data engineering roles. Hands-on experience with real-time ML model deployment and data engineering workflows. Technical Skills Strong expertise in Python and experience with Pandas, PySpark, and FastAPI. Proficiency in container orchestration tools such as Kubernetes (K8s) and Docker. Advanced knowledge of AWS services like SageMaker, Lambda, DynamoDB, EC2, and S3. Proven experience building and optimizing distributed data pipelines using Databricks and PySpark. Solid understanding of databases such as MongoDB, DynamoDB, MariaDB, and PostgreSQL. Proficiency with CI/CD tools like Jenkins, GitHub Actions, and related automation frameworks. Hands-on experience with observability tools like New Relic for monitoring and troubleshooting. We are proud to be an Equal Opportunity Employer and consider all qualified applicants for employment opportunities without regard to race, age, color, religion, gender, national origin, disability, sexual orientation, veteran status or any other category protected by the laws or regulations in the locations where we operate. California applicants can find a copy of Oportun's CCPA Notice here: https://oportun.com/privacy/california-privacy-notice/. We will never request personal identifiable information (bank, credit card, etc.) before you are hired. We do not charge you for pre-employment fees such as background checks, training, or equipment. If you think you have been a victim of fraud by someone posing as us, please report your experience to the FBI’s Internet Crime Complaint Center (IC3). Show more Show less

About Oportun Oportun (Nasdaq: OPRT) is a mission-driven fintech that puts its 2.0 million members' financial goals within reach. With intelligent borrowing, savings, and budgeting capabilities, Oportun empowers members with the confidence to build a better financial future. Since inception, Oportun has provided more than $16.6 billion in responsible and affordable credit, saved its members more than $2.4 billion in interest and fees, and helped its members save an average of more than $1,800 annually. Oportun has been certified as a Community Development Financial Institution (CDFI) since 2009. WORKING AT OPORTUN Working at Oportun means enjoying a differentiated experience of being part of a team that fosters a diverse, equitable and inclusive culture where we all feel a sense of belonging and are encouraged to share our perspectives. This inclusive culture is directly connected to our organization's performance and ability to fulfill our mission of delivering affordable credit to those left out of the financial mainstream. We celebrate and nurture our inclusive culture through our employee resource groups. Engineering Business Unit Overview The charter for Engineering group at Oportun is to be the world-class engineering force behind our innovative products. The group plays a vital role in designing, developing, and maintaining cutting-edge software solutions that power our mission and advance) our business. We strike a balance between leveraging leading tools and developing in-house solutions to create member experiences that empower their financial independence. The talented engineers in this group are dedicated to delivering and maintaining performant, elegant, and intuitive systems to our business partners and retail members. Our platform combines service-oriented platform features with sophisticated user experience and is enabled through a best-in-class (and fun to use!) automated development infrastructure. We prove that FinTech is more fun, more challenging, and in our case, more rewarding as we build technology that changes our members’ lives. Engineering at Oportun is responsible for high quality and scalable technical execution to achieve business goals and product vision. They ensure business continuity to members by effectively managing systems and services - overseeing technical architectures and system health. In addition, they are responsible for identifying and executing on the technical roadmap that enables product vision as well as fosters member & business growth in a scalable and efficient manner. Position Overview As a Senior Software Engineer at Oportun, you will be a key member of our engineering team, responsible for designing, developing, and maintaining sophisticated software solutions in achieving the charter of the engineering group. Your mastery of a technical domain enables you to take up business problems and solve them with a technical solution. With your depth of expertise and leadership abilities, you will actively contribute to architectural decisions, mentor junior engineers, and collaborate closely with cross-functional teams to deliver high-quality, scalable software solutions that advance our impact in the market. This is a role where you will have the opportunity to take up responsibility in leading the technology effort – from technical requirements gathering to final successful delivery of the product - for large initiatives (cross-functional and multi-month long projects). Responsibilities You actively contribute to the end-to-end delivery of complex software applications, ensuring adherence to best practices and high overall quality standards. You have a strong understanding of a business or system domain with sufficient knowledge & expertise around the appropriate metrics and trends. You collaborate closely with product managers, designers, and fellow engineers to understand business needs and translate them into effective software solutions. You provide technical leadership and expertise, guiding the team in making sound architectural decisions and solving challenging technical problems. Your solutions anticipate scale, reliability, monitoring, integration, and extensibility. You conduct code reviews and provide constructive feedback to ensure code quality, performance, and maintainability. You mentor and coach junior engineers, fostering a culture of continuous learning, growth, and technical excellence within the team. You play a significant role in the ongoing evolution and refinement of current tools and applications used by the team, and drive adoption of new practices within your team. You take ownership of (customer) issues, including initial troubleshooting, identification of root cause and issue escalation or resolution, while maintaining the overall reliability and performance of our systems. You set the benchmark for responsiveness and ownership and overall accountability of engineering systems. You independently drive and lead multiple features, contribute to (a) large project(s) and lead smaller projects. You can orchestrate work that spans multiples engineers within your team and keep all relevant stakeholders informed. You support your lead/EM about your work and that of the team, that they need to share with the stakeholders, including escalation of issues Qualifications Typically requires a minimum 6 years of related experience with a Bachelor's degree; or a Master's degree with an equivalent combination of education and experience. Proven track record of delivering sophisticated software solutions with high quality. Extensive proficiency in one or more programming languages, such as Java, Python, C++, or similar. Strong understanding of data structures, algorithms, and software design principles. Demonstrated experience in web application development, RESTful APIs, and frontend technologies (e.g., HTML, CSS, JavaScript) is advantageous. Proficiency in working with relational databases and SQL is a plus. Solid grasp of version control systems, such as Git. Experience with cloud technologies, preferably AWS or Azure, is highly desirable. Proven ability to mentor and lead other engineers, fostering a collaborative and supportive work environment. Exceptional problem-solving and analytical skills, with a passion for tackling complex technical and business problems. challenges. Excellent communication and interpersonal abilities, with a track record of effectively collaborating in a team-oriented environment. We are proud to be an Equal Opportunity Employer and consider all qualified applicants for employment opportunities without regard to race, age, color, religion, gender, national origin, disability, sexual orientation, veteran status or any other category protected by the laws or regulations in the locations where we operate. California applicants can find a copy of Oportun's CCPA Notice here: https://oportun.com/privacy/california-privacy-notice/. We will never request personal identifiable information (bank, credit card, etc.) before you are hired. We do not charge you for pre-employment fees such as background checks, training, or equipment. If you think you have been a victim of fraud by someone posing as us, please report your experience to the FBI’s Internet Crime Complaint Center (IC3). Show more Show less

About Oportun Oportun (Nasdaq: OPRT) is a mission-driven fintech that puts its 2.0 million members' financial goals within reach. With intelligent borrowing, savings, and budgeting capabilities, Oportun empowers members with the confidence to build a better financial future. Since inception, Oportun has provided more than $16.6 billion in responsible and affordable credit, saved its members more than $2.4 billion in interest and fees, and helped its members save an average of more than $1,800 annually. Oportun has been certified as a Community Development Financial Institution (CDFI) since 2009. WORKING AT OPORTUN Working at Oportun means enjoying a differentiated experience of being part of a team that fosters a diverse, equitable and inclusive culture where we all feel a sense of belonging and are encouraged to share our perspectives. This inclusive culture is directly connected to our organization's performance and ability to fulfill our mission of delivering affordable credit to those left out of the financial mainstream. We celebrate and nurture our inclusive culture through our employee resource groups. Engineering Business Unit Overview The charter for Engineering group at Oportun is to be the world-class engineering force behind our innovative products. The group plays a vital role in designing, developing, and maintaining cutting-edge software solutions that power our mission and advance) our business. We strike a balance between leveraging leading tools and developing in-house solutions to create member experiences that empower their financial independence. The talented engineers in this group are dedicated to delivering and maintaining performant, elegant, and intuitive systems to our business partners and retail members. Our platform combines service-oriented platform features with sophisticated user experience and is enabled through a best-in-class (and fun to use!) automated development infrastructure. We prove that FinTech is more fun, more challenging, and in our case, more rewarding as we build technology that changes our members’ lives. Engineering at Oportun is responsible for high quality and scalable technical execution to achieve business goals and product vision. They ensure business continuity to members by effectively managing systems and services - overseeing technical architectures and system health. In addition, they are responsible for identifying and executing on the technical roadmap that enables product vision as well as fosters member & business growth in a scalable and efficient manner. Position Overview The Staff Software Engineer role offers a unique opportunity to combine your technical expertise with strategic thinking, guiding the team in making architectural decisions, mentoring senior engineers, and actively contributing to the evolution of our technology stack. This role is the SME and “go-to” person in the team, and the individual works well under pressure, responds with urgency and operates with a high degree of autonomy, accountability and maturity. As a Staff Software engineer, you are the domain expert in multiple areas and can provide regular insight to product and design leads of all levels that are working within these areas. You can identify, tackle and deliver on strategically important problems for the group whether it is Product, Platform, or Infrastructure. This role affords opportunities to lead and contribute to design and implementation of multiple large projects or lead a large org or company-wide objective, including the possibility of (technically) leading multiple small(er) teams, or a large team. Overall, this role has all the ingredients for the incumbent to command and hold respect as an expert and to develop a track-record of deep and/or broad impact to a product or technology area. Responsibilities You lead the end-to-end delivery of complex software applications, ensuring adherence to best practices and high overall quality standards. You create frameworks and abstractions that lessen the workload of other engineers. Your documentation and tutorials enable other teams to leverage your work independently. You identify and resolve improvements in test coverage for end-to-end business flows across multiple systems (and teams). You introduce new tools, techniques, and coding patterns to other engineers, some of which may be developed by yourself, and drive this change to other teams. You drive technical decision-making, contribute to, and sometimes lead, architectural discussions, and propose innovative solutions to address complex technical and/or systemic architectural challenges. You collaborate across teams and build systems to address architectural gaps. You take ownership of critical projects and initiatives, providing project leadership, and ensuring successful delivery through effective project management and communication. You engage with stakeholders across the group, understanding their needs and working through the complexity and conflicting goals. You have the ability to provide a clear and concise explanation of business strategy, technical concepts, designs or implementation to a non-technical audience. You collaborate closely with product managers, designers, and fellow engineers to gather and translate business requirements into efficient and scalable software solutions. You have a track record of leading cross-team efforts that deliver meaningful results across engineering, product, and/or design. You work through technical, organizational and scheduling complexity to align teams and deliver results in a positive way for the people and teams involved. Your interactions build trust and speed at scale into our organization. You are the technical thought leader of the team and provide necessary guidance and mentorship to senior team members whenever required. You play the key technical counterpart to an engineering manager with a larger team; you can provide effective feedback to engineering managers at all levels to identify and help address gaps in their teams. You successfully advocate for technologies and processes that make multiple teams more efficient. You conduct rigorous code reviews, offering valuable feedback to maintain code quality, performance, and maintainability. You continuously identify opportunities for process improvements and efficiency gains within the software development lifecycle. You stay informed about emerging technologies, industry trends, and best practices, and proactively introduce relevant advancements to enhance our products and services. Requirements 10+ years of related experience with a Bachelor's degree; or a Master's degree with an equivalent combination of education and experience. Proven track record of delivering sophisticated software solutions in a leadership capacity with high quality. Exceptional problem-solving and analytical skills, with a passion for tackling complex technical and business problems. challenges. Mastery over data structures, algorithms, and software design principles. Demonstrated experience in web application development, Java, Micro services, Spring boot, Spring Framework, RESTful APIs, Hibernate Ability to quickly learn new systems/requirements and create POCs and develop code. Experience in relational databases like MySQL, MariaDB and SQL Solid grasp of version control systems, such as Git. Knowledge in OAuth2 Proven ability to mentor and lead a team of engineers, fostering a collaborative and supportive work environment. Excellent communication and interpersonal abilities, with a track record of effectively collaborating in a team-oriented environment. Exposure to one of the cloud technologies - AWS/Azure/GCP Desired Experience with cloud technologies, preferably AWS or Azure, is highly desirable. Experience in automation with Web Driver IO Knowledge/experience in working with DevOps/CICD We are proud to be an Equal Opportunity Employer and consider all qualified applicants for employment opportunities without regard to race, age, color, religion, gender, national origin, disability, sexual orientation, veteran status or any other category protected by the laws or regulations in the locations where we operate. California applicants can find a copy of Oportun's CCPA Notice here: https://oportun.com/privacy/california-privacy-notice/. We will never request personal identifiable information (bank, credit card, etc.) before you are hired. We do not charge you for pre-employment fees such as background checks, training, or equipment. If you think you have been a victim of fraud by someone posing as us, please report your experience to the FBI’s Internet Crime Complaint Center (IC3). Show more Show less

About Oportun Oportun (Nasdaq: OPRT) is a mission-driven fintech that puts its 2.0 million members' financial goals within reach. With intelligent borrowing, savings, and budgeting capabilities, Oportun empowers members with the confidence to build a better financial future. Since inception, Oportun has provided more than $16.6 billion in responsible and affordable credit, saved its members more than $2.4 billion in interest and fees, and helped its members save an average of more than $1,800 annually. Oportun has been certified as a Community Development Financial Institution (CDFI) since 2009. WORKING AT OPORTUN Working at Oportun means enjoying a differentiated experience of being part of a team that fosters a diverse, equitable and inclusive culture where we all feel a sense of belonging and are encouraged to share our perspectives. This inclusive culture is directly connected to our organization's performance and ability to fulfill our mission of delivering affordable credit to those left out of the financial mainstream. We celebrate and nurture our inclusive culture through our employee resource groups. Position Overview We are looking for passionate and skilled Product Designers. You will be working with some of the sharpest, and nicest people in the industry, while solving problems that have a real world impact. Responsibilities Partner with various stakeholders to build clarity around the problem space. Constantly strive for simplicity and thoughtfulness in your solutions. Cultivate an understanding of business and product needs. Bring a very high degree of craftsmanship and attention to detail in your work. Own the solution space from problem understanding to visual design, and ship good quality work. Help build a good design culture. Iterate, iterate, iterate. Requirements 2 to 4 years of relevant product design experience. Experience working on consumer facing desktop and mobile products. In-depth knowledge of Figma. An excellent online portfolio. Genuine passion for product design, tons of humility, openness to feedback and eagerness to get better, along with very good communication skills. Working knowledge of using design systems. A decent understanding of product and business goals, and knowledge to use them to inform decision making. Some exposure to using data to make informed decisions. Ability to question the status-quo. A decent grasp on complementary skills like motion design, prototyping, illustrations, iconography and UX writing. Good craft and attention to detail. Good fundamentals. Good breadth of thinking. We are proud to be an Equal Opportunity Employer and consider all qualified applicants for employment opportunities without regard to race, age, color, religion, gender, national origin, disability, sexual orientation, veteran status or any other category protected by the laws or regulations in the locations where we operate. California applicants can find a copy of Oportun's CCPA Notice here: https://oportun.com/privacy/california-privacy-notice/. We will never request personal identifiable information (bank, credit card, etc.) before you are hired. We do not charge you for pre-employment fees such as background checks, training, or equipment. If you think you have been a victim of fraud by someone posing as us, please report your experience to the FBI’s Internet Crime Complaint Center (IC3). Show more Show less

About Oportun Oportun (Nasdaq: OPRT) is a mission-driven fintech that puts its 2.0 million members' financial goals within reach. With intelligent borrowing, savings, and budgeting capabilities, Oportun empowers members with the confidence to build a better financial future. Since inception, Oportun has provided more than $16.6 billion in responsible and affordable credit, saved its members more than $2.4 billion in interest and fees, and helped its members save an average of more than $1,800 annually. Oportun has been certified as a Community Development Financial Institution (CDFI) since 2009. WORKING AT OPORTUN Working at Oportun means enjoying a differentiated experience of being part of a team that fosters a diverse, equitable and inclusive culture where we all feel a sense of belonging and are encouraged to share our perspectives. This inclusive culture is directly connected to our organization's performance and ability to fulfill our mission of delivering affordable credit to those left out of the financial mainstream. We celebrate and nurture our inclusive culture through our employee resource groups. Summary We are growing our world-class team of mission-driven, entrepreneurial Data Scientists who are passionate about broadening financial inclusion by untapping insights from non-traditional data. Be part of the team responsible for developing and enhancing Oportun’s core intellectual property used in scoring risk for underbanked consumers that lack a traditional credit bureau score. In this role you will be on the cutting edge working with large and diverse (i.e., data from dozens of sources including transactional, mobile, utility, and other financial services) alternative data sets and utilize machine learning and statistical modeling to build scores and strategies for managing risk, collection/loss mitigation, take-up rates and fraud. You will also drive growth and optimize marketing spend across channels by leveraging alternative data to help predict which consumers would likely be interested in Oportun’s affordable, credit building loan product. Responsibilities Develop data products and machine learning models used in Risk, Fraud, Collections, and portfolio management, and provide frictionless customer experience for various products and services Oportun provides. Build accurate and automated monitoring tools which can help us to keep a close eye on the performance of the models and rules. Build model deployment platform which can shorten the time of implementing new models. Build end-to-end reusable pipelines from data acquisition to model output delivery. Lead initiatives to drive business value from start to finish including project planning, communication, and stakeholder management. Lead discussions with Compliance, Bank Partners, and Model Risk Management teams to facilitate the Model Governance Activities such as Model Validations and Monitoring. Lead, coach and partner with the DS and non-DS team to deliver results Qualifications A relentless problem solver and out of the box thinker with a proven track record of driving business results in a timely manner Master’s degree or PhD in Statistics, Mathematics, Computer Science, Engineering or Economics or other quantitative discipline (Bachelor’s degree with significant relevant experience will be considered). Hands on experience leveraging machine learning techniques such as Gradient Boosting, Logistic Regression and Neural Network to solve real world problems 10+ years of hands-on relevant experience with data extraction, cleaning, analysis and building reusable data pipelines; Proficient in SQL, Spark SQL and/or Hive. 10+ years of relevant experience in leveraging modern machine learning toolset and programming languages such as Python. Excellent written and oral communication skills Strong stakeholder management and project management skills Comfortable in a high-growth, fast-paced, agile environment Experience working with AWS EMR, Sage-maker or other cloud-based platforms is a plus Experience with HDFS, Hive, Shell script and other big data tools is a plus We are proud to be an Equal Opportunity Employer and consider all qualified applicants for employment opportunities without regard to race, age, color, religion, gender, national origin, disability, sexual orientation, veteran status or any other category protected by the laws or regulations in the locations where we operate. California applicants can find a copy of Oportun's CCPA Notice here: https://oportun.com/privacy/california-privacy-notice/. We will never request personal identifiable information (bank, credit card, etc.) before you are hired. We do not charge you for pre-employment fees such as background checks, training, or equipment. If you think you have been a victim of fraud by someone posing as us, please report your experience to the FBI’s Internet Crime Complaint Center (IC3). Show more Show less

About Oportun Oportun (Nasdaq: OPRT) is a mission-driven fintech that puts its 2.0 million members' financial goals within reach. With intelligent borrowing, savings, and budgeting capabilities, Oportun empowers members with the confidence to build a better financial future. Since inception, Oportun has provided more than $16.6 billion in responsible and affordable credit, saved its members more than $2.4 billion in interest and fees, and helped its members save an average of more than $1,800 annually. Oportun has been certified as a Community Development Financial Institution (CDFI) since 2009. WORKING AT OPORTUN Working at Oportun means enjoying a differentiated experience of being part of a team that fosters a diverse, equitable and inclusive culture where we all feel a sense of belonging and are encouraged to share our perspectives. This inclusive culture is directly connected to our organization's performance and ability to fulfill our mission of delivering affordable credit to those left out of the financial mainstream. We celebrate and nurture our inclusive culture through our employee resource groups. We are seeking a highly skilled and experienced Senior Machine Learning Engineer to join our dynamic team and lead the development of our ML infrastructure, from model training to deployment, enabling us to deliver advanced and impactful solutions to our clients. As the Senior Machine Learning Engineer at Oportun, you will assume a pivotal role in elevating our ML capabilities, responsible for conceiving and implementing a state-of-the-art machine learning infrastructure. Your mastery of a ML domain enables you to take up business problems and solve them with a AI/ML solution. With your depth of expertise and leadership abilities, you will actively contribute to architectural decisions, mentor junior ML engineers, and collaborate closely with diverse teams, including data scientists, and engineers, to deliver high-quality Ml solutions that redefine the norms of FinTech. Your profound expertise in architecting and deploying machine learning models will be instrumental in propelling our products to new dimensions of sophistication and success. This is a role where you will have the opportunity to take up responsibility in leading the technology effort – from technical requirements gathering to final successful delivery of the ML solution - for large initiatives (cross-functional and multi-month long projects). Responsibilities Lead the implementation of a cutting-edge ML infrastructure, encompassing all facets from model inception to deployment, ensuring adherence to best practices and high overall quality standards. Provide exceptional technical leadership, mentoring, and guidance to a team of machine learning engineers, fostering a culture of continuous learning and innovation. Take ownership of critical projects and initiatives, providing project leadership, and ensuring successful delivery through effective project management and communication. Engage with stakeholders across the group, understanding their needs and working through the complexity and conflicting goals. Collaborate closely with data scientists to translate intricate model requirements into optimized data pipelines, ensuring impeccable data quality, processing, and integration. Spearhead the establishment of best practices for model versioning, experiment tracking, and model evaluation to ensure transparency and reproducibility. Architect and execute model deployment strategies, harnessing containerization (Docker) and orchestration (Kubernetes) for exceptional scalability and reliability. Engineer automated CI/CD pipelines that facilitate seamless model deployment, monitoring, and continuous optimization. Define and refine performance benchmarks, and optimize models and infrastructure to achieve peak efficiency, scalability, and robustness. Remain at the forefront of industry trends and emerging technologies, expertly integrating the latest advancements into our ML ecosystem. Requirements Requires 6+ years of related experience with a Bachelor's degree in Computer Science; or a Master's degree with an equivalent combination of education and experience. Extensive experience orchestrating the development of end-to-end machine learning infrastructure for intricate and large-scale applications. Proven record of transformative leadership, guiding technical teams to achieve remarkable outcomes and innovation. Proven track record of delivering sophisticated ML solutions with high quality. Exceptional problem-solving and analytical skills, with a passion for tackling complex technical and business problems. challenges. Solid understanding of data structures, algorithms, and software design principles. Profound mastery of machine learning frameworks such as TensorFlow, PyTorch, or equivalent, coupled with Python programming. Deep expertise in containerization (Docker) and orchestration (Kubernetes) for orchestrating complex machine learning applications. Thorough comprehension of software engineering principles, version control (Git), and collaborative development workflows. Adeptness with cloud platforms (AWS or Azure) and utilization of cloud-native services for crafting robust ML infrastructure. Track record of successfully integrating DevOps practices, continuous integration, and continuous deployment (CI/CD) pipelines. Excellent communication and interpersonal skills, with the ability to collaborate effectively in a team-oriented environment. If you are passionate about using your technical & ML expertise to drive social impact and financial inclusion, we invite you to join us in our mission at Oportun. Apply now to become a part of our dynamic team and make a difference in the lives of millions. We are proud to be an Equal Opportunity Employer and consider all qualified applicants for employment opportunities without regard to race, age, color, religion, gender, national origin, disability, sexual orientation, veteran status or any other category protected by the laws or regulations in the locations where we operate. California applicants can find a copy of Oportun's CCPA Notice here: https://oportun.com/privacy/california-privacy-notice/. We will never request personal identifiable information (bank, credit card, etc.) before you are hired. We do not charge you for pre-employment fees such as background checks, training, or equipment. If you think you have been a victim of fraud by someone posing as us, please report your experience to the FBI’s Internet Crime Complaint Center (IC3). Show more Show less

About Oportun Oportun (Nasdaq: OPRT) is a mission-driven fintech that puts its 2.0 million members' financial goals within reach. With intelligent borrowing, savings, and budgeting capabilities, Oportun empowers members with the confidence to build a better financial future. Since inception, Oportun has provided more than $16.6 billion in responsible and affordable credit, saved its members more than $2.4 billion in interest and fees, and helped its members save an average of more than $1,800 annually. Oportun has been certified as a Community Development Financial Institution (CDFI) since 2009. WORKING AT OPORTUN Working at Oportun means enjoying a differentiated experience of being part of a team that fosters a diverse, equitable and inclusive culture where we all feel a sense of belonging and are encouraged to share our perspectives. This inclusive culture is directly connected to our organization's performance and ability to fulfill our mission of delivering affordable credit to those left out of the financial mainstream. We celebrate and nurture our inclusive culture through our employee resource groups. Summary This role is responsible for accurately handling the day-to-day accounting processes related to our Personal loan products. The position will record, reconcile the related transactions, investigate and resolve issues, prepare schedules, and perform analysis that contribute to the preparation of financial reports during the monthly and quarterly reporting processes. The individual in this role should possess a strong understanding of accounting concepts and a proactive approach to driving process improvements through automation. This role demands attention to detail, and the ability to work cross-functionally in a fast-paced environment. Responsibilities Responsible for the preparation of journal entries for purposes of closing the books ensuring compliance with accounting standards. Responsible for the timely preparation, reconciliation of assigned balance sheet accounts related to loans on our general ledger. Preparation of assigned loan schedules required for both internal and external (SEC) reporting. Conduct month-over-month flux analysis and provide written explanation of significant variances. Prepare loan related schedules as needed for audit and SOX. Support with process improvements through automation and implement enhancements. Assist with ad hoc accounting/finance projects as needed. Requirements A minimum of two years of general accounting experience. Four-year bachelor’s degree in accounting. Strong experience using Microsoft Office (Excel, Access, etc.). Ability to meet strict deadlines. Extreme attention to details. Ability to prioritize multiple functions and work with limited supervision. Excellent interpersonal communication and organizational skills. Excellent verbal and written communication skills. Must be able to work well and collaborate with internal and external partners. Positive attitude and ability to adapt to change. Time & schedule flexibility. Big four public accounting experience preferred. Certified public accountant (CPA) preferred. We are proud to be an Equal Opportunity Employer and consider all qualified applicants for employment opportunities without regard to race, age, color, religion, gender, national origin, disability, sexual orientation, veteran status or any other category protected by the laws or regulations in the locations where we operate. California applicants can find a copy of Oportun's CCPA Notice here: https://oportun.com/privacy/california-privacy-notice/. We will never request personal identifiable information (bank, credit card, etc.) before you are hired. We do not charge you for pre-employment fees such as background checks, training, or equipment. If you think you have been a victim of fraud by someone posing as us, please report your experience to the FBI’s Internet Crime Complaint Center (IC3). Show more Show less

About Oportun Oportun (Nasdaq: OPRT) is a mission-driven fintech that puts its 2.0 million members' financial goals within reach. With intelligent borrowing, savings, and budgeting capabilities, Oportun empowers members with the confidence to build a better financial future. Since inception, Oportun has provided more than $16.6 billion in responsible and affordable credit, saved its members more than $2.4 billion in interest and fees, and helped its members save an average of more than $1,800 annually. Oportun has been certified as a Community Development Financial Institution (CDFI) since 2009. WORKING AT OPORTUN Working at Oportun means enjoying a differentiated experience of being part of a team that fosters a diverse, equitable and inclusive culture where we all feel a sense of belonging and are encouraged to share our perspectives. This inclusive culture is directly connected to our organization's performance and ability to fulfill our mission of delivering affordable credit to those left out of the financial mainstream. We celebrate and nurture our inclusive culture through our employee resource groups. Responsibilities Responsible for creating and influencing innovative solutions that meet not only functional, but also performance, scalability and reliability requirements. Contribute to defining the Roadmap, Translation of complex functional and technical requirements into detailed execution plans and schedules. Manage the day-to-day activities of the engineering team by defining, implementing, and maintaining a coherent, progressive development strategy for our product line. Champion engineering and operations, establishing metrics and processes for regular assessment and improvement Provide Technical and Thought Leadership to the team members. Management of departmental resources, staffing, and enhancing and maintaining a best-of- class engineering team while establishing strong lines of communication at all levels. Evolution of the software engineering practice within the organization, including better reporting, tools, and evolution of development methodology Continue to build an effective development organization by developing and managing the team/group, and conducting performance reviews of team members through regular 1:1’s and continuous feedback. Drive technical discovery through collaboration with your engineers and implement software alongside your team members. Collaborate closely with Product, Design, and QA to iterate on the design, implementation, deployment, and monitoring of our product. Create and execute appropriate quality plans, project plans, test strategies and processes for development activities in concert with business and project management efforts to achieve the OKRs. Delivery of quality applications on-time and on-budget Promote an engaged, product-focused, positive engineering culture of excellence Proactively identify risks and unblock teams Qualifications Typically requires a minimum 10+ years of related experience with a Bachelor's degree; or a Master's degree with an equivalent combination of education and experience Proven track record of delivering high-quality software solutions in a timely manner. Strong problem-solving and analytical skills, with a passion for tackling complex technical challenges. Solid understanding of data structures, algorithms, and software design principles. Strong proficiency in Java, Micro services, Spring boot, Spring Framework, RESTful APIs, Hibernate Experience with relational databases like MySQL, MariaDB and SQL Experience in working with version control systems, such as Git. Experience in Frontend technologies (ReactJS, React Native & nextJS) Excellent communication and interpersonal skills, with the ability to collaborate effectively in a team-oriented environment. Ability to work independently with minimal help. Ability to quickly learn new technologies and apply them as and when needed Strong Unit and integration testing Desired Experience with cloud technologies, preferably AWS or Azure, is desirable. Experience in working on ReactJS, React Native & nextJS Knowledge/experience in working with DevOps/CICD Why Join Us If you are passionate about leveraging technology to make a positive social impact and are excited to contribute to our mission, we invite you to apply for the role of Associate Software Engineer at Oportun. Join us to shape the future of responsible finance and improving the lives of hard-working individuals and families. Make a meaningful impact by contributing to solutions that address real-world financial challenges for underserved communities. Experience a collaborative and inclusive work culture that values innovation and diversity. Take advantage of opportunities for professional growth and skill development through mentorship and training. Enjoy competitive compensation package, including benefits and potential for performance- based incentives. Achieve work-life balance and flexibility to support your personal and professional well- being. We are proud to be an Equal Opportunity Employer and consider all qualified applicants for employment opportunities without regard to race, age, color, religion, gender, national origin, disability, sexual orientation, veteran status or any other category protected by the laws or regulations in the locations where we operate. California applicants can find a copy of Oportun's CCPA Notice here: https://oportun.com/privacy/california-privacy-notice/. We will never request personal identifiable information (bank, credit card, etc.) before you are hired. We do not charge you for pre-employment fees such as background checks, training, or equipment. If you think you have been a victim of fraud by someone posing as us, please report your experience to the FBI’s Internet Crime Complaint Center (IC3). Show more Show less

About Oportun Oportun (Nasdaq: OPRT) is a mission-driven fintech that puts its 2.0 million members' financial goals within reach. With intelligent borrowing, savings, and budgeting capabilities, Oportun empowers members with the confidence to build a better financial future. Since inception, Oportun has provided more than $16.6 billion in responsible and affordable credit, saved its members more than $2.4 billion in interest and fees, and helped its members save an average of more than $1,800 annually. Oportun has been certified as a Community Development Financial Institution (CDFI) since 2009. WORKING AT OPORTUN Working at Oportun means enjoying a differentiated experience of being part of a team that fosters a diverse, equitable and inclusive culture where we all feel a sense of belonging and are encouraged to share our perspectives. This inclusive culture is directly connected to our organization's performance and ability to fulfill our mission of delivering affordable credit to those left out of the financial mainstream. We celebrate and nurture our inclusive culture through our employee resource groups. Company Overview At Oportun, we are on a mission to foster financial inclusion for all by providing affordable and responsible lending solutions to underserved communities. As a purpose-driven financial technology company, we believe in empowering our customers with access to responsible credit that can positively transform their lives. Our relentless commitment to innovation and data-driven practices has positioned us as a leader in the industry, and we are actively seeking exceptional individuals to join our team as Senior Software Engineer to play a critical role in driving positive change. Position Overview We are seeking a highly skilled Platform Engineer with expertise in building self-serve platforms that combine real-time ML deployment and advanced data engineering capabilities. This role requires a blend of cloud-native platform engineering, data pipeline development, and deployment expertise. The ideal candidate will have a strong background in implementing data workflows, building platforms to enable self-serve for ML pipelines while enabling seamless deployments. Responsibilities Platform Engineering Design and build self-serve platforms that support real-time ML deployment and robust data engineering workflows. Create APIs and backend services using Python and FastAPI to manage and monitor ML workflows and data pipelines. Real-Time ML Deployment Implement platforms for real-time ML inference using tools like AWS SageMaker and Databricks. Enable model versioning, monitoring, and lifecycle management with observability tools such as New Relic. Data Engineering Build and optimise ETL/ELT pipelines for data preprocessing, transformation, and storage using PySpark and Pandas. Develop and manage feature stores to ensure consistent, high-quality data for ML model training and deployment. Design scalable, distributed data pipelines on platforms like AWS, integrating tools such as DynamoDB, PostgreSQL, MongoDB, and MariaDB. CI/CD and Automation Use CI/CD pipelines using Jenkins, GitHub Actions, and other tools for automated deployments and testing. Automate data validation and monitoring processes to ensure high-quality and consistent data workflows. Documentation and Collaboration Create and maintain detailed technical documentation, including high-level and low-level architecture designs. Collaborate with cross-functional teams to gather requirements and deliver solutions that align with business goals. Participate in Agile processes such as sprint planning, daily standups, and retrospectives using tools like Jira. Experience Required Qualifications 5-10 years experience in IT 5-8 years experience in platform backend engineering 1 year experience in DevOps & data engineering roles. Hands-on experience with real-time ML model deployment and data engineering workflows. Technical Skills Strong expertise in Python and experience with Pandas, PySpark, and FastAPI. Proficiency in container orchestration tools such as Kubernetes (K8s) and Docker. Advanced knowledge of AWS services like SageMaker, Lambda, DynamoDB, EC2, and S3. Proven experience building and optimizing distributed data pipelines using Databricks and PySpark. Solid understanding of databases such as MongoDB, DynamoDB, MariaDB, and PostgreSQL. Proficiency with CI/CD tools like Jenkins, GitHub Actions, and related automation frameworks. Hands-on experience with observability tools like New Relic for monitoring and troubleshooting. We are proud to be an Equal Opportunity Employer and consider all qualified applicants for employment opportunities without regard to race, age, color, religion, gender, national origin, disability, sexual orientation, veteran status or any other category protected by the laws or regulations in the locations where we operate. California applicants can find a copy of Oportun's CCPA Notice here: https://oportun.com/privacy/california-privacy-notice/. We will never request personal identifiable information (bank, credit card, etc.) before you are hired. We do not charge you for pre-employment fees such as background checks, training, or equipment. If you think you have been a victim of fraud by someone posing as us, please report your experience to the FBI’s Internet Crime Complaint Center (IC3). Show more Show less

About Oportun Oportun (Nasdaq: OPRT) is a mission-driven fintech that puts its 2.0 million members' financial goals within reach. With intelligent borrowing, savings, and budgeting capabilities, Oportun empowers members with the confidence to build a better financial future. Since inception, Oportun has provided more than $16.6 billion in responsible and affordable credit, saved its members more than $2.4 billion in interest and fees, and helped its members save an average of more than $1,800 annually. Oportun has been certified as a Community Development Financial Institution (CDFI) since 2009. WORKING AT OPORTUN Working at Oportun means enjoying a differentiated experience of being part of a team that fosters a diverse, equitable and inclusive culture where we all feel a sense of belonging and are encouraged to share our perspectives. This inclusive culture is directly connected to our organization's performance and ability to fulfill our mission of delivering affordable credit to those left out of the financial mainstream. We celebrate and nurture our inclusive culture through our employee resource groups. Position Overview As a Sr. Data Engineer at Oportun, you will be a key member of our team, responsible for designing, developing, and maintaining sophisticated software / data platforms in achieving the charter of the engineering group. Your mastery of a technical domain enables you to take up business problems and solve them with a technical solution. With your depth of expertise and leadership abilities, you will actively contribute to architectural decisions, mentor junior engineers, and collaborate closely with cross-functional teams to deliver high-quality, scalable software solutions that advance our impact in the market. This is a role where you will have the opportunity to take up responsibility in leading the technology effort – from technical requirements gathering to final successful delivery of the product - for large initiatives (cross-functional and multi-month-long projects). Responsibilities Data Architecture and Design: Lead the design and implementation of scalable, efficient, and robust data architectures to meet business needs and analytical requirements. Collaborate with stakeholders to understand data requirements, build subject matter expertise, and define optimal data models and structures. Data Pipeline Development And Optimization Design and develop data pipelines, ETL processes, and data integration solutions for ingesting, processing, and transforming large volumes of structured and unstructured data. Optimize data pipelines for performance, reliability, and scalability. Database Management And Optimization Oversee the management and maintenance of databases, data warehouses, and data lakes to ensure high performance, data integrity, and security. Implement and manage ETL processes for efficient data loading and retrieval. Data Quality And Governance Establish and enforce data quality standards, validation rules, and data governance practices to ensure data accuracy, consistency, and compliance with regulations. Drive initiatives to improve data quality and documentation of data assets. Mentorship And Leadership Provide technical leadership and mentorship to junior team members, assisting in their skill development and growth. Lead and participate in code reviews, ensuring best practices and high-quality code. Collaboration And Stakeholder Management Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand their data needs and deliver solutions that meet those needs. Communicate effectively with non-technical stakeholders to translate technical concepts into actionable insights and business value. Performance Monitoring And Optimization Implement monitoring systems and practices to track data pipeline performance, identify bottlenecks, and optimize for improved efficiency and scalability. Common Requirements You have a strong understanding of a business or system domain with sufficient knowledge & expertise around the appropriate metrics and trends. You collaborate closely with product managers, designers, and fellow engineers to understand business needs and translate them into effective solutions. You provide technical leadership and expertise, guiding the team in making sound architectural decisions and solving challenging technical problems. Your solutions anticipate scale, reliability, monitoring, integration, and extensibility. You conduct code reviews and provide constructive feedback to ensure code quality, performance, and maintainability. You mentor and coach junior engineers, fostering a culture of continuous learning, growth, and technical excellence within the team. You play a significant role in the ongoing evolution and refinement of current tools and applications used by the team, and drive adoption of new practices within your team. You take ownership of (customer) issues, including initial troubleshooting, identification of root cause and issue escalation or resolution, while maintaining the overall reliability and performance of our systems. You set the benchmark for responsiveness and ownership and overall accountability of engineering systems. You independently drive and lead multiple features, contribute to (a) large project(s) and lead smaller projects. You can orchestrate work that spans multiples engineers within your team and keep all relevant stakeholders informed. You support your lead/EM about your work and that of the team, that they need to share with the stakeholders, including escalation of issues Qualifications Bachelor's or Master's degree in Computer Science, Data Science, or a related field. 5+ years of experience in data engineering, with a focus on data architecture, ETL, and database management. Proficiency in programming languages like Python/PySpark and Java or Scala Expertise in big data technologies such as Hadoop, Spark, Kafka, etc. In-depth knowledge of SQL and experience with various database technologies (e.g., PostgreSQL, MariaDB, NoSQL databases). Experience and expertise in building complex end-to-end data pipelines. Experience with orchestration and designing job schedules using the CICD tools like Jenkins, Airflow or Databricks Ability to work in an Agile environment (Scrum, Lean, Kanban, etc) Ability to mentor junior team members. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their data services (e.g., AWS Redshift, S3, Azure SQL Data Warehouse). Strong leadership, problem-solving, and decision-making skills. Excellent communication and collaboration abilities. Familiarity or certification in Databricks is a plus. We are proud to be an Equal Opportunity Employer and consider all qualified applicants for employment opportunities without regard to race, age, color, religion, gender, national origin, disability, sexual orientation, veteran status or any other category protected by the laws or regulations in the locations where we operate. California applicants can find a copy of Oportun's CCPA Notice here: https://oportun.com/privacy/california-privacy-notice/. We will never request personal identifiable information (bank, credit card, etc.) before you are hired. We do not charge you for pre-employment fees such as background checks, training, or equipment. If you think you have been a victim of fraud by someone posing as us, please report your experience to the FBI’s Internet Crime Complaint Center (IC3). Show more Show less

About Oportun Oportun (Nasdaq: OPRT) is a mission-driven fintech that puts its 2.0 million members' financial goals within reach. With intelligent borrowing, savings, and budgeting capabilities, Oportun empowers members with the confidence to build a better financial future. Since inception, Oportun has provided more than $16.6 billion in responsible and affordable credit, saved its members more than $2.4 billion in interest and fees, and helped its members save an average of more than $1,800 annually. Oportun has been certified as a Community Development Financial Institution (CDFI) since 2009. WORKING AT OPORTUN Working at Oportun means enjoying a differentiated experience of being part of a team that fosters a diverse, equitable and inclusive culture where we all feel a sense of belonging and are encouraged to share our perspectives. This inclusive culture is directly connected to our organization's performance and ability to fulfill our mission of delivering affordable credit to those left out of the financial mainstream. We celebrate and nurture our inclusive culture through our employee resource groups. Engineering Business Unit Overview The charter for Engineering group at Oportun is to be the world-class engineering force behind our innovative products. The group plays a vital role in designing, developing, and maintaining cutting-edge software solutions that power our mission and advance) our business. We strike a balance between leveraging leading tools and developing in-house solutions to create member experiences that empower their financial independence. The talented engineers in this group are dedicated to delivering and maintaining performant, elegant, and intuitive systems to our business partners and retail members. Our platform combines service-oriented platform features with sophisticated user experience and is enabled through a best-in-class (and fun to use!) automated development infrastructure. We prove that FinTech is more fun, more challenging, and in our case, more rewarding as we build technology that changes our members’ lives. Engineering at Oportun is responsible for high quality and scalable technical execution to achieve business goals and product vision. They ensure business continuity to members by effectively managing systems and services - overseeing technical architectures and system health. In addition, they are responsible for identifying and executing on the technical roadmap that enables product vision as well as fosters member & business growth in a scalable and efficient manner. The Enterprise Data and Technology (EDT) pillar within the Engineering Business Unit focusses on enabling wide use of corporate data assets whilst ensuring quality, availability and security across the data landscape. Position Overview As a Senior Data Engineer at Oportun, you will be a key member of our EDT team, responsible for designing, developing, and maintaining sophisticated software / data platforms in achieving the charter of the engineering group. Your mastery of a technical domain enables you to take up business problems and solve them with a technical solution. With your depth of expertise and leadership abilities, you will actively contribute to architectural decisions, mentor junior engineers, and collaborate closely with cross-functional teams to deliver high-quality, scalable software solutions that advance our impact in the market. This is a role where you will have the opportunity to take up responsibility in leading the technology effort – from technical requirements gathering to final successful delivery of the product - for large initiatives (cross functional and multi-month long projects). Responsibilities Data Architecture and Design: Lead the design and implementation of scalable, efficient, and robust data architectures to meet business needs and analytical requirements. Collaborate with stakeholders to understand data requirements, build subject matter expertise and define optimal data models and structures. Data Pipeline Development and Optimization: Design and develop data pipelines, ETL processes, and data integration solutions for ingesting, processing, and transforming large volumes of structured and unstructured data. Optimize data pipelines for performance, reliability, and scalability. Database Management and Optimization: Oversee the management and maintenance of databases, data warehouses, and data lakes to ensure high performance, data integrity, and security. Implement and manage ETL processes for efficient data loading and retrieval. Data Quality and Governance: Establish and enforce data quality standards, validation rules, and data governance practices to ensure data accuracy, consistency, and compliance with regulations. Drive initiatives to improve data quality and documentation of data assets. Mentorship and Leadership: Provide technical leadership and mentorship to junior team members, assisting in their skill development and growth. Lead and participate in code reviews, ensuring best practices and high-quality code. Collaboration and Stakeholder Management: Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand their data needs and deliver solutions that meet those needs. Communicate effectively with non-technical stakeholders to translate technical concepts into actionable insights and business value. Performance Monitoring and Optimization: Implement monitoring systems and practices to track data pipeline performance, identify bottlenecks, and optimize for improved efficiency and scalability. Common Software Engineering Requirements You actively contribute to the end-to-end delivery of complex software applications, ensuring adherence to best practices and high overall quality standards. You have a strong understanding of a business or system domain with sufficient knowledge & expertise around the appropriate metrics and trends. You collaborate closely with product managers, designers, and fellow engineers to understand business needs and translate them into effective software solutions. You provide technical leadership and expertise, guiding the team in making sound architectural decisions and solving challenging technical problems. Your solutions anticipate scale, reliability, monitoring, integration, and extensibility. You conduct code reviews and provide constructive feedback to ensure code quality, performance, and maintainability. You mentor and coach junior engineers, fostering a culture of continuous learning, growth, and technical excellence within the team. You play a significant role in the ongoing evolution and refinement of current tools and applications used by the team, and drive adoption of new practices within your team. You take ownership of (customer) issues, including initial troubleshooting, identification of root cause and issue escalation or resolution, while maintaining the overall reliability and performance of our systems. You set the benchmark for responsiveness and ownership and overall accountability of engineering systems. You independently drive and lead multiple features, contribute to (a) large project(s) and lead smaller projects. You can orchestrate work that spans multiples engineers within your team and keep all relevant stakeholders informed. You support your lead/EM about your work and that of the team, that they need to share with the stakeholders, including escalation of issues Requirements Bachelor's or Master's degree in Computer Science, Data Science, or a related field. 5+ years of experience in data engineering, with a focus on data architecture, ETL, and database management. Proficiency in programming languages like Python/Pyspark and Java /Scala Expertise in big data technologies such as Hadoop, Spark, Kafka, etc. In-depth knowledge of SQL and experience with various database technologies (e.g., PostgreSQL, MySQL, NoSQL databases). Experience and expertise in building complex end-to-end data pipelines. Experience with orchestration and designing job schedules using the CICD tools like Jenkins and Airflow. Ability to work in an Agile environment (Scrum, Lean, Kanban, etc) Ability to mentor junior team members. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their data services (e.g., AWS Redshift, S3, Azure SQL Data Warehouse). Strong leadership, problem-solving, and decision-making skills. Excellent communication and collaboration abilities. We are proud to be an Equal Opportunity Employer and consider all qualified applicants for employment opportunities without regard to race, age, color, religion, gender, national origin, disability, sexual orientation, veteran status or any other category protected by the laws or regulations in the locations where we operate. California applicants can find a copy of Oportun's CCPA Notice here: https://oportun.com/privacy/california-privacy-notice/. We will never request personal identifiable information (bank, credit card, etc.) before you are hired. We do not charge you for pre-employment fees such as background checks, training, or equipment. If you think you have been a victim of fraud by someone posing as us, please report your experience to the FBI’s Internet Crime Complaint Center (IC3). Show more Show less

About Oportun Oportun (Nasdaq: OPRT) is a mission-driven fintech that puts its 2.0 million members' financial goals within reach. With intelligent borrowing, savings, and budgeting capabilities, Oportun empowers members with the confidence to build a better financial future. Since inception, Oportun has provided more than $16.6 billion in responsible and affordable credit, saved its members more than $2.4 billion in interest and fees, and helped its members save an average of more than $1,800 annually. Oportun has been certified as a Community Development Financial Institution (CDFI) since 2009. WORKING AT OPORTUN Working at Oportun means enjoying a differentiated experience of being part of a team that fosters a diverse, equitable and inclusive culture where we all feel a sense of belonging and are encouraged to share our perspectives. This inclusive culture is directly connected to our organization's performance and ability to fulfill our mission of delivering affordable credit to those left out of the financial mainstream. We celebrate and nurture our inclusive culture through our employee resource groups. Position Overview We are growing our world-class team of mission-driven, entrepreneurial Data Scientists who are passionate about broadening financial inclusion by untapping insights from non-traditional data. Be part of the team responsible for developing and enhancing Oportun’s core intellectual property used in scoring risk for underbanked consumers that lack a traditional credit bureau score. In this role you will be on the cutting edge working with large and diverse (i.e. data from dozens of sources including transactional, mobile, utility, and other financial services) alternative data sets and utilize machine learning and statistical modeling to build scores and strategies for managing risk, collection/loss mitigation, and fraud. You will also drive growth and optimize marketing spend across channels by leveraging alternative data to help predict which consumers would likely be interested in Oportun’s affordable, credit building loan product. Responsibilities Develop data products and machine learning models used in Risk, Fraud, Collections, and portfolio management, and provide frictionless customer experience for various products and services Oportun provides. Build accurate and automated monitoring tools which can help us to keep a close eye on the performance of the models and rules. Build model deployment platform which can shorten the time of implementing new models. Build end-to-end reusable pipelines from data acquisition to model output delivery. Lead initiatives to drive business value from start to finish including project planning, communication, and stakeholder management. Lead discussions with Compliance, Bank Partners, and Model Risk Management teams to facilitate the Model Governance Activities such as Model Validations and Monitoring. Qualifications A relentless problem solver and out of the box thinker with a proven track record of driving business results in a timely manner Master’s degree or PhD in Statistics, Mathematics, Computer Science, Engineering or Economics or other quantitative discipline (Bachelor’s degree with significant relevant experience will be considered). Hands on experience leveraging machine learning techniques such as Gradient Boosting, Logistic Regression and Neural Network to solve real world problems 3+ years of hands-on experience with data extraction, cleaning, analysis and building reusable data pipelines; Proficient in SQL, Spark SQL and/or Hive 3+ years of experience in leveraging modern machine learning toolset and programming languages such as Python Excellent written and oral communication skills Strong stakeholder management and project management skills Comfortable in a high-growth, fast-paced, agile environment Experience working with AWS EMR, Sage-maker or other cloud-based platforms is a plus Experience with HDFS, Hive, Shell script and other big data tools is a plus Show more Show less