Qureos Mentor

Onity Group Inc.

<div>POSITION SUMMARY: 
As a Bankruptcy Specialist, you will manage loans in active bankruptcy status, ensuring accuracy, compliance, and timely execution of all related processes. Key responsibilities include reviewing and updating bankruptcy records, preparing legal documents, reconciling account ledgers, and ensuring adherence to bankruptcy plans and service-level agreements (SLAs). This role requires strong expertise in bankruptcy payment application and a comprehensive understanding of the bankruptcy life cycle. You will report directly to the Bankruptcy Team Lead and collaborate with colleagues across all levels of the organization. Your attention to detail and subject-matter knowledge will be critical in safeguarding the integrity and accuracy of bankruptcy accounts. 
JOB FUNCTION AND RESPONSIBILITIES:
<ul><li>Accurately prepare account ledgers for bankruptcy accounts, ensuring all payments are applied per the BK plan and comply with strict deadlines to meet SLAs.
</li><li>Receive and update bankruptcy information daily.
</li><li>Prepare and file Proofs of Claim with bankruptcy courts by scheduled deadlines.
</li><li>Prepare Notices of Final Cure with bankruptcy courts by schedules deadlines.
</li><li>Document all bankruptcy accounts accurately per policy and procedures.
</li><li>Work closely with bankruptcy counsel, litigation counsel, and foreclosure teams for proper account treatment.
</li><li>Complete the assigned bankruptcy activities to ensure all accounts are handled properly.
</li><li>Ensure all bankruptcy procedures and documentation adhere to relevant legal and regulatory requirements.
</li><li>Ensure department and company goals and standards are achieved.
</li><li>Maintain a high level of customer service and communication with other departments.
</li><li>Identify, analyze, and resolve issues related to bankruptcy accounts promptly and effectively, utilizing strong problem-solving skills.
</li><li>Assist in training junior team members on bankruptcy processes and best practices, fostering a collaborative and knowledgeable team environment.
</li><li>Continuously seek opportunities to enhance bankruptcy procedures and workflows, contributing to the overall efficiency and effectiveness of the team.
</li><li>Perform closing reviews per requirements and complete account adjustments as needed.
</li>Perform other duties as assigned. 
<li>
</li></ul>QUALIFICATION: 
<ul><li>Understanding of bankruptcy procedures is essential.
</li><li>Prior experience with bankruptcy payment application and preparing account ledgers for bankruptcy accounts is preferred.
</li><li>Ability to analyze large amounts of data from diverse sources daily to deliver recommendations and results.
</li><li>Ability to prioritize tasks effectively.
</li><li>Ability to focus on short and long-term plans and goals.
</li><li>Negotiation skills are a plus.
</li><li>Skilled at identifying and recommending solutions.
</li><li>Ability to work independently.
</li><li>Strong verbal and written communication skills.
</li><li>Ability to adapt quickly to unstructured and ambiguous situations.
</li>Detail-oriented and able to see the big picture. 
<li>
</li></ul>WORK SCHEDULE OR TRAVEL REQUIREMENTS:
India Night Shift</div>

Specialist, Bankruptcy

<div>Position Summary:
We&rsquo;re seeking a Data Scientist to support the development and deployment of machine learning models and analytics solutions that improve decision-making across the mortgage lifecycle&mdash;from acquisition to servicing. In this hands-on role, you&rsquo;ll contribute to building predictive models, customer segmentation tools, and automation workflows that enhance operational efficiency and customer outcomes. You&rsquo;ll work closely with senior data scientists and cross-functional teams to translate business needs into well-scoped modeling tasks, with opportunities to apply natural language processing (NLP), statistical modeling, and experimentation frameworks in a regulated financial environment. This role reports to a senior leader in Data Science.
Job Functions and Responsibilities:
<ul><li>Develop and maintain machine learning models and statistical tools for use cases such as risk scoring, churn prediction, segmentation, and document classification.
</li><li>Collaborate with Product, Engineering, and Analytics teams to identify data-driven opportunities and support automation initiatives.
</li><li>Translate business questions into modeling tasks and contribute to the design of experiments and success metrics.
</li><li>Assist in building and maintaining data pipelines and model deployment workflows in partnership with data engineering.
</li><li>Apply techniques such as supervised learning, clustering, and basic NLP to structured and semi-structured mortgage data.
</li><li>Support model monitoring, performance tracking, and documentation to ensure compliance and audit readiness.
</li><li>Contribute to internal best practices and participate in peer reviews and knowledge-sharing sessions.
</li><li>Stay current with developments in machine learning and analytics relevant to mortgage and financial services.
</li></ul>Qualifications:
<ul><li>Minimum education required: Masters or PhD in engineering/math/statistics/economics, or a related field
</li><li>Minimum years of experience required: 2 (or 1, post-PhD), ideally in mortgage, fintech, or financial services
</li><li>Required certifications: None
</li><li>Specific skill or ability needed
</li><li>Minimum software or applications experience required/preferred
</li><li>Minimum experience required using mobile technology: None
</li><li>Any other requirements an ideal applicant needs to have that is not covered by above: None
</li><li>Experience working with structured and semi-structured data; exposure to NLP or document classification is a plus.
</li><li>Understanding of model development lifecycle, including training, validation, and deployment.
</li><li>Familiarity with data privacy and compliance considerations (e.g., ECOA, CCPA, GDPR) is preferred.
</li><li>Strong communication skills and ability to present findings to technical and non-technical audiences.
</li><li>Proficiency in Python (e.g., scikit-learn, pandas), SQL, and familiarity with ML frameworks like TensorFlow or PyTorch.</li></ul></div>

Manager, Data Scientist and Machine Learning Engineer

Join Onity Group Inc. and explore 2   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Onity Group Inc.

ABOUT_COMPANY

Specialist, Bankruptcy

Manager, Data Scientist and Machine Learning Engineer