Qureos Mentor

GM Financial

<div>Why GMF Technology?
Innovation isn&rsquo;t just a talking point at GM Financial, it&rsquo;s how we operate. From generative AI and cloud-native technologies to peer-led learning and hackathons, our tech teams are building real solutions that make a difference. We&rsquo;re committed to AI-powered transformation, using advanced machine learning and automation to help us reimagine customer interactions and modernize operations, positioning GM Financial as a leader in digital innovation within a dynamic industry.
Join us and discover a workplace where your ideas matter, your development is prioritized, and you can truly make a global impact.
About this role: 
 
The Data Engineer III designs, constructs, tests, and maintains highly scalable data management systems. Data Engineer III is responsible for developing complex data pipelines and ensuring data quality, which involves transforming raw data into a form that can be easily analyzed.</div>
 <div>What makes you an ideal candidate:
<ul><li>Design and build scalable data pipelines and workflows on Azure Databricks, leveraging Delta Lake, Unity Catalog, and Medallion (Bronze/Silver/Gold) Lakehouse architecture.
</li><li>Lead end-to-end migration of legacy SAS analytical workloads to Databricks/PySpark, including SAS macro translation, data validation, and output reconciliation.
</li><li>Drive migration of Oracle databases and stored procedures to Azure-native services (Azure SQL, Synapse Analytics, or Delta Lake), ensuring data fidelity and business continuity.
</li><li>Architect and implement ELT/ETL frameworks supporting batch and near-real-time data ingestion from diverse financial source systems.
</li><li>Design dimensional models, data vault patterns, and lakehouse table structures optimized for financial analytical and regulatory reporting workloads.
</li><li>Build and maintain data pipelines that power AI/ML models, including feature engineering, training data preparation, and inference feeds using Databricks MLflow and Feature Store.
</li><li>Implement LLM and RAG (Retrieval-Augmented Generation) pipeline patterns for internal analytics and tooling where applicable.
</li><li>Design and consume REST APIs for data ingestion, orchestration, and data product exposure; build integrations with third-party financial data providers.
</li><li>Implement event-driven and streaming data patterns using Azure Event Hubs, Service Bus, and Kafka.
</li><li>Enforce data governance policies in Unity Catalog: column-level security, row-level filtering, PII masking, and audit logging.
</li><li>Implement data quality frameworks with automated alerting and lineage tracking.
</li><li>Ensure all data solutions comply with applicable financial regulations: SOX, BCBS 239, GDPR/CCPA, CCAR, DFAST, Basel III/IV.
</li><li>Apply data security controls including encryption, Azure Key Vault management, Private Endpoints, VNet integration, and Managed Identity.
</li><li>Define engineering standards and best practices; lead code reviews and technical design sessions.
</li><li>Mentor junior and mid-level engineers through pairing, reviews, and knowledge sharing.
</li><li>Produce technical documentation including design docs, runbooks, and Architecture Decision Records (ADRs).</li></ul></div>
 <div>Experience
<ul><li>Bachelor's degree required in Computer Science, Information Systems, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field or equivalent experience required.
</li><li>Master's degree strongly preferred in Computer Science, Data Engineering, Data Science, Applied Mathematics, or a related discipline.
</li><li>4-6 years of experience in data engineering or a related field required
</li><li>Experience with Big Data technologies required
</li><li>4-6 years of professional experience in data engineering, data platform development, or a closely related data role.
</li><li>3+ years of hands-on experience with Azure Databricks (PySpark, Delta Lake, Workflows, Unity Catalog).
</li><li>3+ years of cloud data engineering experience on Microsoft Azure (ADF, ADLS Gen2, Synapse, Azure SQL, Event Hubs, Key Vault).
</li><li>2+ years of proven experience in SAS-to-cloud migration &mdash; translating SAS PROC SQL, macros, and data steps to PySpark or SQL equivalents.
</li><li>2+ years of experience leading Oracle database migration to Azure cloud targets.
</li><li>2+ years of experience working in a regulated financial services environment (banking, capital markets, insurance, asset management, or fintech).
</li><li>Demonstrated experience designing and consuming REST APIs and building event-driven integration patterns.
</li><li>Hands-on experience with AI/ML data pipeline development, including feature stores, training data pipelines, and MLflow-based workflows.
</li><li>Proven track record delivering production-grade data systems in complex enterprise environments. 
What We Offer: Generous benefits package available on day one to include: 401K matching, bonding leave for new parents (12 weeks, 100% paid), tuition assistance, training, GM employee auto discount, community service pay and nine company holidays. 
Our Culture: Our team members define and shape our culture &mdash; an environment that welcomes innovative ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work &mdash; we thrive. 
Compensation: Competitive pay and bonus eligibility 
Work Life Balance: Flexible hybrid work environment, minimum of 2-days a week in our Irving, TX office.
</li></ul>#LI-Hybrid
#LI-MH1
#GMFJobs</div>

Data Engineer III - Data & AI Enablement

<div>Why GM Financial Forecast &amp; Planning
At GM Financial, Forecast &amp; Planning is a cornerstone of our success. This team empowers the business to move forward with clarity and purpose, ensuring we deliver on our mission with integrity and impact. Its influence is felt in everything we achieve. If you&rsquo;re passionate about making a difference through strategy, collaboration, and creativity, Forecast &amp; Planning is where your impact begins. We do more than work &mdash; we thrive. Join us in shaping the future of financial services.</div>
 <div>About the role
The Financial Analyst I supports financial planning and analysis by monitoring financial models, analyzing trends, and preparing forecasts and variance analyses. The position is responsible for building monthly and quarterly reports, creating interest expense scenarios, and clearly communicating results to management. It also provides general financial support across assigned areas, using strong Excel and analytical skills to drive accurate, data-informed decisions.
In this role you will:
<ul><li>Analyze financial information, including trends and forecasts.
</li><li>Run, evaluate, and monitor existing financial models including securitization, warehouse, liquidity, debt, and income models.
</li><li>Create monthly interest expense for disclosure and business scenarios.
</li><li>Perform variance analysis and research differences.
</li><li>Build monthly/quarterly financial reports and communicate results to management.
</li><li>Support assigned areas with general financial administration.</li></ul></div>
 <div>What makes you the ideal candidate?
<ul><li>Knowledge of financial forecasting and analysis.
</li><li>Knowledge of data/information sources.
</li><li>Intermediate to advanced Excel, PowerPoint, and Microsoft Office skills.
</li><li>Good quantitative and analytical skills.
</li><li>Good oral and written communication skills.
</li><li>Ability to understand historical trends to develop dynamic budgeting and forecasting models.
</li><li>Strong Excel skills (macros, charting, pivot tables).
</li><li>Proficiency in spreadsheet applications.
</li><li>Ability to read and interpret financial documents.
</li><li>Ability to manage projects.
</li><li>Ability to work well with all levels of management.
</li><li>Detail oriented.
</li><li>Strong time management skills.
</li><li>Knowledge of finance, statistics, accounting, or financial services industry a plus.
</li><li>Knowledge of Oracle financial analysis software a plus.
</li><li>Knowledge of SAS or SQL data mining tools a plus. 
</li></ul> 
Experience
<ul><li>Occasional overtime or split shifts may be required. 
</li><li>Strong focus on providing quality service to internal and external customers.
</li><li>0&ndash;2 years prior experience in financial analysis, forecasting, or data mining preferred.
</li><li>High School Diploma required. 
</li><li>Bachelor&rsquo;s Degree in Finance, Accounting, or related field required.
</li><li>Master&rsquo;s Degree optional. 
</li></ul>What We Offer : Generous benefits package available on day one to include: 401K matching, bonding leave for new parents (12 weeks, 100% paid), tuition assistance, training, GM employee auto discount, community service pay and nine company holidays.
Our Culture:
Our team members define and shape our culture &mdash; an environment that welcomes innovative ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work &mdash; we thrive.
Compensation: Competitive pay and bonus eligibility
Work Life Balance: Flexible hybrid work environment, 2-days a week in office
#LI-hybrid
#LI-MO1</div>

Financial Analyst I - Forecasting Planning and Analysis

Join GM Financial 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.

GM Financial

About Company

Data Engineer III - Data & AI Enablement

Financial Analyst I - Forecasting Planning and Analysis