We are looking for a dedicated Training and Development Specialist to join our team in Los Angeles, California. In this role, you will play a key part in supporting organizational learning initiatives, managing training programs, and ensuring compliance with HR standards. As this is a long-term contract position, you will have the opportunity to contribute to meaningful projects and help foster growth across the organization.<br><br>Responsibilities:<br>• Provide comprehensive support for training programs, ensuring employees, supervisors, and managers can access necessary tools and resources.<br>• Monitor and analyze training participation data to produce detailed reports and aid in compliance audits.<br>• Collaborate with vendors to manage system updates, contracts, and platform integrations.<br>• Conduct assessments to identify training needs and develop tailored performance management strategies.<br>• Create and deliver engaging training content, including multimedia materials and instructional guides.<br>• Coordinate training schedules that align with organizational goals and staff availability.<br>• Support diversity, equity, and inclusion initiatives through targeted educational programs.<br>• Manage Individual Development Plans and performance appraisal processes to enhance employee growth.<br>• Stay informed about industry best practices and compliance standards to maintain effective training systems.<br>• Assist with additional HR-related tasks as directed by the Senior Director of Human Resources.
<p>We are looking for a dedicated Sr. Call Center Representative to join our team in Hawthorne, California. In this role, you will play a key role in building strong customer relationships and driving sales through high-quality, consultative service. In addition to identifying and addressing customer needs, you will match customers with beneficial products and services, actively promote solutions, and deliver clear value in every interaction. This is a dynamic position that blends customer support with sales responsibilities to help maximize customer satisfaction and business growth.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Serve as the main point of contact for customers, delivering exceptional service and product guidance via phone, email, and other channels.</li><li>Proactively identify customer needs and recommend appropriate financial products and services to drive sales.</li><li>Handle financial transactions, update customer records, open new accounts, and process loan applications according to established policies.</li><li>Respond to customer inquiries promptly, ensuring high satisfaction and effective issue resolution.</li><li>Conduct outbound sales and service calls to current and prospective customers, supporting business development initiatives and meeting sales targets.</li><li>Provide frontline coverage in both the call center and, as required, at branch locations to support customer acquisition and retention.</li><li>Maintain compliance with all BSA and OFAC regulations, as well as company policies and procedures.</li><li>Continuously develop understanding of available product and service offerings to educate customers and enhance sales effectiveness.</li></ul><p><br></p><p><br></p>
We are looking for a skilled Data Engineer to join our team in Los Angeles, California. This role focuses on designing and implementing advanced data solutions to support innovative advertising technologies. The ideal candidate will have hands-on experience with large datasets, cloud platforms, and machine learning, and will play a critical role in shaping our data infrastructure.<br><br>Responsibilities:<br>• Develop and maintain robust data pipelines to ensure seamless data extraction, transformation, and loading processes.<br>• Design scalable architectures that support machine learning models and advanced analytics.<br>• Collaborate with cross-functional teams to deliver business intelligence tools, reporting solutions, and analytical dashboards.<br>• Implement real-time data streaming solutions using platforms like Apache Kafka and Apache Spark.<br>• Optimize database performance and ensure efficient data storage and retrieval.<br>• Build and manage resilient data science programs and personas to support AI initiatives.<br>• Lead and mentor a team of data scientists, machine learning engineers, and data architects.<br>• Design and implement strategies for maintaining large datasets, ensuring data integrity and accessibility.<br>• Create detailed technical documentation for workflows, processes, and system architecture.<br>• Stay up-to-date with emerging technologies to continuously improve data engineering practices.
<p>we are seeking a <strong>Data Engineer</strong> to join its growing data team in West LA. This role is perfect for someone early in their data engineering career who wants to work with modern data stacks, cloud technologies, and high-impact analytics projects in a collaborative, fast-paced environment.</p><p><br></p><p> <strong>Compensation:</strong> $100–130K + 5% bonus (flexible for strong candidates)</p><p><br></p><p><strong>About the Role</strong></p><p>In this position, you’ll support the full data lifecycle—from ingesting and transforming raw data to building pipelines, reporting tools, and analytics infrastructure that empower teams across the business. You’ll work with Python, SQL, cloud platforms, ETL solutions, and visualization tools, contributing to the evolution of next-generation data systems supporting large-scale digital operations.</p><p><br></p><p><strong>What You'll Do</strong></p><ul><li>Build, maintain, and optimize ETL/ELT pipelines using tools such as Talend, SSIS, or Informatica</li><li>Work hands-on with cloud platforms (any cloud; GCP preferred) to support data workflows</li><li>Develop reports and dashboards using visualization tools (Looker, Tableau, Power BI, etc.)</li><li>Collaborate with product, analytics, and engineering teams to deliver reliable datasets and insights</li><li>Own data issues end-to-end — from collection and extraction to cleaning and validation</li><li>Support data architecture, pipeline resilience, and performance tuning</li><li>Assist in maintaining and scaling datasets, data models, and analytics environments</li><li>Contribute to real-time streaming initiatives (a plus)</li></ul><p><br></p>
