Oportun

πŸ‘₯ 1001-5000πŸ’° $235,000,000 Post-IPO Debt 4 months agoπŸ«‚ Last layoff over 1 year agoDebit CardsConsumer LendingFinancial ServicesFinTechπŸ“ˆ Public Company
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Oportun is a financial technology company that provides affordable online loans to individuals, helping them build credit and achieve their financial goals.

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Jobs at this company:

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πŸ” Financial Services

  • 3+ years of experience in an analytic role, preferably in risk management of the financial services industry
  • Very strong attention to detail, experience developing processes to implement strategy
  • Excellent SQL (or similar language) programming skills; proficiency in Python is a plus
  • Advanced Microsoft Excel and PowerPoint skills
  • Bachelor’s Degree in Engineering, Mathematics, Economics, Finance, or other analytical discipline
  • Gain exposure to key areas such as risk underwriting, pricing, and direct mail marketing with the opportunity to specialize and focus on a specific area based on interest and business needs
  • Partner with product, data science and engineering to design and implement tests; turn learnings into actionable strategies, presenting findings to stake holders to influence decision making
  • Develop and maintain valuation frameworks to determine profitability at the margin; recommend changes to risk strategies to maximize profitability and ensure required return on capital for all risk segments
  • Develop dynamic risk assessment frameworks using alternative data to evaluate creditworthiness and optimize direct mail marketing/targeting
  • Design strategy ramp-up to support the expansion in new channels, new geographic regions and/or new partner sources while ensuring portfolio resilience
  • Support the development of pricing strategies and practices, balancing revenue optimization with enterprise objectives and customer experience
  • Monitor portfolio performance, refining strategies to minimize defaults while maximizing credit access for the underserved
Posted 3 days ago
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πŸ” Fintech

  • Proven experience as a Cloud Engineer or similar role.
  • Strong knowledge of cloud platforms AWS.
  • Expertise in Kubernetes, ArgoCD/FluxCD/Istio/Renovate.
  • Proficient in Infrastructure as Code tools (Terraform, CloudFormation).
  • Familiarity with containerization and microservices architecture within EKS using Knative Services
  • Experience with monitoring and logging tools (Grafana Stack, NewRelic).
  • Design, implement, and manage scalable and secure cloud infrastructure on AWS.
  • Utilize Kubernetes to orchestrate and automate the deployment, scaling, and management of containerized applications.
  • Leverage above for GitOps-based continuous delivery of applications.
  • Implement Infrastructure as Code using tools such as Terraform and CloudFormation.
  • Implement and manage monitoring and logging solutions for cloud-based applications.
  • Implement and enforce security best practices for cloud infrastructure.
  • Collaborate with cross-functional teams to understand project requirements and provide technical expertise.
Posted 8 days ago
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🧭 Full-Time

πŸ” Financial Services

  • Bachelor’s Degree in Engineering, Mathematics, Economics, Finance, or related
  • 3+ years in an analytic role, preferably in risk management
  • Excellent SQL programming skills
  • Proficiency in Python is a plus
  • Advanced Microsoft Excel and PowerPoint skills
  • Gain exposure to risk underwriting, pricing, and direct mail marketing
  • Partner with product, data science, and engineering for actionable strategies
  • Develop and maintain valuation frameworks
  • Create dynamic risk assessment frameworks using alternative data
  • Support development of pricing strategies
  • Monitor portfolio performance
Posted 8 days ago
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πŸ“ India

🧭 Full-Time

πŸ” Fintech

  • 8+ years of related experience
  • Experience with programming languages like Java, Python, C++
  • Proficiency in Angular and web application development
  • Experience with RESTful APIs and frontend technologies
  • Familiarity with AWS or Azure
  • Lead delivery of complex software applications
  • Create frameworks and abstractions for engineers
  • Drive technical decision-making and architectural discussions
  • Provide project leadership and manage stakeholder communication
  • Conduct code reviews and maintain code quality

AWSNode.jsPythonSQLCypressGitHTMLCSSJavaJavascriptOAuthTypeScriptC++AzureAngularRESTful APIs

Posted 11 days ago
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πŸ“ India

πŸ” Fintech

  • Requires 10+ years of related experience with a Bachelor's degree in Computer Science, or a Master's degree with equivalent education and experience.
  • Extensive experience developing end-to-end machine learning infrastructure for large-scale applications.
  • Proven leadership skills, guiding teams to achieve innovation.
  • Expertise in machine learning frameworks like TensorFlow, PyTorch, or equivalent.
  • Deep knowledge in containerization (Docker) and orchestration (Kubernetes).
  • Comprehensive understanding of software engineering principles and development workflows.
  • Familiarity with cloud platforms such as AWS or Azure.
  • Experience in integrating DevOps practices and CI/CD pipelines.
  • Strong problem-solving skills and effective communication abilities.
  • Lead the implementation of a cutting-edge ML infrastructure, ensuring adherence to best practices.
  • Provide technical leadership and mentoring to machine learning engineers.
  • Take ownership of projects, ensuring successful delivery through effective project management.
  • Collaborate with data scientists to optimize data pipelines.
  • Establish best practices for model versioning and evaluation.
  • Architect model deployment strategies using Docker and Kubernetes.
  • Engineer automated CI/CD pipelines for model deployment.
  • Define performance benchmarks and optimize models and infrastructure.
  • Stay updated on industry trends and integrate advancements into the ML ecosystem.

AWSDockerPythonGitKubernetesMachine LearningPyTorchAzureTensorflowCI/CD

Posted 27 days ago
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πŸ“ India

🧭 Full-Time

πŸ” Fintech

  • Master's degree in Computer Science, Information Assurance/Security, Cyber Security, Computer Engineering, Electrical Engineering, or a related field.
  • 6 years of experience in the job offered or a related occupation.
  • 4+ years of experience building large scale distributed services.
  • 2+ years of experience in software security architecture and design review, Threat Modeling, Security Code Review, SDLC, and application security best practices.
  • (re)Design, Build and maintain large-scale, high-throughput foundational security services and libraries such as Authentication, Authorization, Encryption, Tokenization, Entitlements
  • Perform Application and Operational threat modeling.
  • Conduct security code reviews.
  • Improve observability into the Security Posture of the company.
  • Drive and Mitigate Security Vulnerabilities in code and infrastructure.
  • Partner with engineering teams to integrate mitigation controls into CI/CD processes.

Backend DevelopmentCybersecuritySoftware Architecture

Posted 29 days ago
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πŸ“ India

πŸ” Fintech

  • Typically requires a minimum of 6 years of related experience with a Bachelor's degree or a Master's degree with equivalent experience.
  • Proven track record of delivering high-quality sophisticated software solutions.
  • Extensive full-stack experience with proficiency in Java, Spring Boot, and understanding of logging, monitoring and debugging.
  • Demonstrated experience in mobile app and web application development, including RESTful APIs and frontend technologies (HTML, CSS, JavaScript); knowledge of React JS/React Native is a plus.
  • Basic knowledge of devops, build/deployment pipeline, and Kubernetes is required.
  • Proficiency with relational databases and SQL is a plus, along with experience in cloud technologies, preferably AWS or Azure.
  • Exceptional problem-solving, analytical, and communication skills.
  • Actively contribute to the end-to-end delivery of complex software applications, ensuring adherence to best practices and high quality standards.
  • Collaborate with product managers, designers, and engineers to understand business needs and translate them into effective software solutions.
  • Provide technical leadership and guide the team in sound architectural decisions and solving challenging technical problems.
  • Conduct code reviews and mentor junior engineers, fostering a culture of continuous learning and growth.
  • Drive the ongoing evolution of tools and applications and take ownership of customer issues.
  • Independently lead multiple features and projects, keeping stakeholders informed.

AWSSoftware DevelopmentSQLGitHTMLCSSJavaJavascriptKubernetesReact.jsReact NativeSpring BootAlgorithmsAzureData StructuresRESTful APIsDevOps

Posted 29 days ago
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πŸ“ India

πŸ” Fintech

  • 5+ years of experience in platform engineering, DevOps, or data engineering roles.
  • Hands-on experience with real-time ML model deployment and data engineering workflows.
  • 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.
  • Design and build self-serve platforms that support real-time ML deployment and robust data engineering workflows.
  • Develop microservices-based solutions using Kubernetes and Docker for scalability, fault tolerance, and efficiency.
  • Create APIs and backend services using Python and FastAPI to manage and monitor ML workflows and data pipelines.
  • Architect and 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.
  • Build and optimize 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.
  • Implement data lake and data warehouse solutions to support advanced analytics and ML workflows.
  • Design and implement robust 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.
  • 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.

AWSDockerPostgreSQLPythonDynamoDBETLJenkinsKubernetesMongoDBFastAPIPandasCI/CDMicroservices

Posted 29 days ago
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πŸ”₯ FIU Analyst (R12780)
Posted about 1 month ago

πŸ“ Mexico

πŸ” Fintech

  • Bilingual English/Spanish (Written and Oral) is highly recommended.
  • Minimum 4 – 6 years of experience in AML and fraud related areas.
  • Strong knowledge of AML, fraud, and risk management strategies.
  • Exceptional interpersonal, oral, and written communication skills.
  • Ability to provide detailed analysis of fraud trends and resolve complex issues.
  • Strong knowledge of desktop applications like Microsoft Word, PowerPoint, and Excel.
  • Provide an independent and objective approach of fraud prevention and analysis.
  • Lead root cause analysis on AML and fraud investigations.
  • Review accounts flagged for potential fraud or other violations.
  • Conduct thorough investigations of reported fraud or suspicious activity and create reports/summaries.
  • Address AML, OFAC, and fraud alerts in compliance with service level agreements.
  • Develop partnerships with internal business owners to improve fraud investigations.

Data AnalysisCustomer serviceRisk Management

Posted about 1 month ago
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πŸ”₯ IT Audit Manager (R12750)
Posted about 1 month ago

πŸ“ US

🧭 Full-Time

πŸ’Έ 85000.0 - 136000.0 USD per year

πŸ” Fintech

  • Skills covering internal control documentation, process narratives, process flows, risk assessments.
  • Understanding of Sarbanes-Oxley compliance, including control scoping and remediation.
  • Strong independent problem-solving and analytical skills.
  • Excellent communication abilities, both written and oral.
  • Good business knowledge with working experience in process improvements.
  • Professional qualifications such as CPA/CIA/CISA are advantageous.
  • Assist in the annual SOX 404 financial statement mapping, risk assessment, and scoping process.
  • Maintain a comprehensive data flow diagram supporting the internal control environment.
  • Coordinate management SOX 404 documentation and ensure the design of key controls.
  • Oversee the SOC 1 Type II Report preparation and act as a resource for internal controls.
  • Coordinate external audit activities and develop remediation plans for control exceptions.

SQL

Posted about 1 month ago
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