firstamericancareers

Our people are the foundation of First American’s success and that is the reason we put them first.

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📍 United States

🔍 Mortgage

  • 3 + years of directly related experience such as Mortgage Foreclosure, Bankruptcy, and/or Legal
  • High School Diploma or equivalent or combination of education and experience
  • Good verbal and written communication skills
  • Strong attention to detail and ability to adhere to strict guidelines and procedures
  • GSE and Government experience preferred
  • MSP and LoanSphere experience preferred
  • Working knowledge of computer software programs to include Windows, Microsoft Word and Excel, Internet and Microsoft Outlook experience preferred
  • Working knowledge of fundamental concepts, practices and procedures of foreclosure
  • Ability to work under pressure and meet deadlines, while maintaining a positive attitude and providing exemplary internal and external customer service
  • Ability to work independently and carry out assignments to completion within parameters of instructions given, prescribed routines, and standard accepted practices
  • Strong interpersonal skills
  • Self-motivated; self-starter
  • Ability to manage multiple tasks and respond quickly to emergent problems
  • Work on problems of moderate scope where analysis of situations or data requires a review of a variety of factors
  • Responsible for servicing mortgage accounts to ensure the foreclosure is processed in compliance with all state and federal laws, while maintaining compliance with Investor, Insurer, Agency, and company guidelines.
  • Ensure the First Legal Actions are completed by the established deadlines by managing and removing impediments and requesting First Legal Action extensions as needed.
  • Conduct complete reviews of foreclosure files to ensure all default timeframes and regulatory and statutory compliance guidelines have been met.
  • Manage foreclosure proceedings on assigned cases by interacting and instructing various parties such as mortgagors, attorneys, investors, insurers, trustees, appraisers, and any other party involved with the foreclosure.
  • Monitor attorney performance by reviewing all proceedings, records and timeframes in addition to working all system/ database activities throughout the foreclosure process.
  • Diligently follow up on all outstanding requests and telephone calls from internal and external partners.
  • Audit accounts for expense compliance and ensure proper application to system of record
  • Perform required research on any loan with questionable items such as the application of payments and any other situation that may arise.
  • Review and respond to audit and quality control requests
  • Report all litigated, and class action matters to management.
  • Perform detailed analysis on all aspects of the assigned portfolio including performance, timelines, overall characteristics, and status to ensure compliance of the foreclosure action.
  • Manage exception reporting used as key controls for minimizing risk.
  • Exercise judgment within defined procedures and practices to determine appropriate action
  • Follow department processes and procedures and make recommendations to enhance these processes
  • No formal supervisory responsibility but is resource to less experienced team members.
  • Works under general supervision applying well established techniques, procedures or specific standards.
  • Prioritize allocated work to ensure timely and accurate resolution to both external and internal partners

SQLMicrosoft ExcelRESTful APIsAttention to detailOrganizational skillsTime ManagementComplianceReportingData entryRisk ManagementFinancial analysis

Posted 3 days ago
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🔥 Sr. Data Engineer
Posted 3 days ago

📍 United States

💸 126100.0 - 168150.0 USD per year

  • 5+ years of development experience with any of the following software languages: Python or Scala, and SQL (we use SQL & Python) with cloud experience (Azure preferred or AWS).
  • Hands-on data security and cloud security methodologies.
  • Experience in configuration and management of data security to meet compliance and CISO security requirements.
  • Experience creating and maintaining data intensive distributed solutions (especially involving data warehouse, data lake, data analytics) in a cloud environment.
  • Hands-on experience in modern Data Analytics architectures encompassing data warehouse, data lake etc. designed and engineered in a cloud environment.
  • Proven professional working experience in Event Streaming Platforms and data pipeline orchestration tools like Apache Kafka, Fivetran, Apache Airflow, or similar tools
  • Proven professional working experience in any of the following: Databricks, Snowflake, BigQuery, Spark in any flavor, HIVE, Hadoop, Cloudera or RedShift.
  • Experience developing in a containerized local environment like Docker, Rancher, or Kubernetes preferred
  • Build high-performing cloud data solutions to meet our analytical and BI reporting needs.
  • Design, implement, test, deploy, and maintain distributed, stable, secure, and scalable data intensive engineering solutions and pipelines in support of data and analytics projects on the cloud, including integrating new sources of data into our central data warehouse, and moving data out to applications and other destinations.
  • Identify, design, and implement internal process improvements, such as automating manual processes, optimizing data delivery, and re-designing infrastructure for greater scalability, etc.
  • Build and enhance a shared data lake that powers decision-making and model building.
  • Partner with teams across the business to understand their needs and develop end-to-end data solutions.
  • Collaborate with analysts and data scientists to perform exploratory analysis and troubleshoot issues.
  • Manage and model data using visualization tools to provide the company with a collaborative data analytics platform.
  • Build tools and processes to help make the correct data accessible to the right people.
  • Participate in active rotational support role for production during or after business hours supporting business continuity.
  • Engage in collaboration and decision making with other engineers.
  • Design schema and data pipelines to extract, transform, and load (ETL) data from various sources into the data warehouse or data lake.
  • Create, maintain, and optimize database structures to efficiently store and retrieve large volumes of data.
  • Evaluate data trends and model simple to complex data solutions that meet day-to-day business demand and plan for future business and technological growth.
  • Implement data cleansing processes and oversee data quality to maintain accuracy.
  • Function as a key member of the team to drive development, delivery, and continuous improvement of the cloud-based enterprise data warehouse architecture.

AWSDockerPythonSQLAgileApache AirflowCloud ComputingETLHadoopKubernetesSnowflakeApache KafkaAzureData engineeringSparkScalaData visualizationData modelingData analytics

Posted 3 days ago
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