Qureos Mentor

BankUnited

<div><div><div><b>LOCATION: (Remote)</b> Miami FL, Charlotte NC, New York City</div>
<div></div><div><b>SUMMARY: </b>The Data Engineer supports the Credit Review function through the design, maintenance, and enhancement of the data environment that underpins credit risk analytics and reporting across the bank's lending portfolios. This role combines technical depth in SQL, Python, and AWS with strong analytical judgment in a credit and risk management context. The Data Engineer will maintain and evolve existing data pipelines and dashboards that enable Credit Review's monitoring and analytics programs. The role requires hands-on experience developing and optimizing data solutions in AWS using tools such as Glue, Lambda, Step Functions, and Redshift. The ideal candidate is comfortable maintaining code, querying data, and supporting the ongoing buildout of a scalable, governed analytics environment. This position reports to the Credit Review Data Analytics Manager and works closely with Credit Review leadership, data engineering, and risk analytics teams across the bank. Experience in banking, especially in risk management, is highly valued. Financial risk model development/assurance and/or AI tool-building experience is a differentiator.</div><br>
<div><b>ESSENTIAL DUTIES AND RESPONSIBILITIES</b> include the following. Other duties and special projects may be assigned.
<ul><li>Troubleshoot, maintain and enhance existing data pipelines, queries, and scripts supporting Credit Review's AWS-based data environment.</li>
<li>Write and optimize SQL and Python code for data extraction, transformation, and analysis.</li>
<li>Support data validation, documentation, and change control to ensure data quality and reproducibility.</li>
<li>Reconcile quarterly department reporting with other Bank sources of reporting to ensure alignment and to flag and escalate where disconnects exist</li>
<li>Partner with internal stakeholders to deliver ad hoc and recurring analytics to support credit risk identification and monitoring.</li>
<li>Create, refine, and maintain dashboards and reports used to inform senior management and the Board.</li>
<li>Assist in developing new data models and tools to enhance Credit Review's monitoring coverage and automation.</li>
<li>Collaborate with technology partners to ensure alignment with enterprise data architecture, security, and governance standards.</li>
<li>Participate in periodic internal and regulatory exams by preparing and validating datasets used for testing and analytics.</li>
<li>Stay current on emerging data tools and techniques that can improve Credit Review's analytical efficiency and insight generation.</li>
<li>Adheres to and complies with applicable, federal and state laws, regulations and guidance, including those related to anti-money laundering (i.e. Bank Secrecy Act, US PATRIOT Act, etc.).</li>
<li>Adheres to Bank policies and procedures and completes required training.</li>
<li>Identifies and reports suspicious activity.</li></ul><br>
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<div><b>SUPERVISORY RESPONSIBILITIES</b></div>
<div><ul><li>Supervises function, projects or services and/or one or more employees, as applicable.</li>
<li>Carries out supervisory responsibilities in accordance with the organization's policies and applicable laws.</li>
<li>Responsibilities include interviewing, hiring, and training employees; planning, assigning, and directing work; appraising performance coaching; rewarding and disciplining employees; addressing complaints and resolving problems.</li></ul><br>
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<div><div><b>EDUCATION</b></div>
<div><br>
Bachelor's Degree in a quantitative or technical field (eg, Computer Science, Mathematics, Engineering, Economics, or Statistics) required Master's Degree preferred</div><br>
<div><b>EXPERIENCE</b></div>
<div><ul><li>Minimum 3 years of relevant experience in data engineering, data analytics, or quantitative analysis - preferably within financial services, banking, or risk management required</li>
<li>Hands-on experience with AWS data tools (eg, S3, Glue, Lambda, Step Functions, Athena, Redshift) required</li>
<li>Strong command of SQL and Python; ability to read, maintain, and enhance production code required</li>
<li>Familiarity with version control (GitHub) and cloud development workflows preferred</li>
<li>Experience with visualization tools (especially QuickSight) a plus preferred</li>
<li>Exposure to credit or financial risk models (eg, PD/LGD, CECL, stress testing) is a differentiator preferred</li>
<li>Experience developing or supporting AI/ML or automation tools is a strong plus preferred</li></ul><br>
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<div><b>KNOWLEDGE, SKILLS AND ABILITIES</b></div>
<div><ul><li>Knowledge of data analytics practices and concepts (CAAT, trend analysis, data visualization, regression analysis).</li>
<li>Ability to perform challenging data queries, data mining, reconcile data, analyze results, and form conclusions for Credit Review and senior management.</li>
<li>Knowledge of commercial and retail loan portfolios, reporting, and analysis techniques.</li>
<li>Collaborative and team-oriented, with an appreciation for data governance, data quality and risk management principles.</li>
<li>Detail-oriented, organized, and self-directed with a strong sense of ownership.</li>
<li>Excellent written and verbal communication skills, including the ability to explain technical concepts to non-technical audiences.</li>
<li>Ability to work independently and prioritize tasks in a fast-paced environment.</li>
</ul></div><div><b>ADDITIONAL INFORMATION</b></div>
<div><ul><li>Candidates residing in locations within BankUnited's footprint may be given preference.</li>
</ul>
</div></div></div><br>
Compensation: $110,000 - $140,000 / year
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Additional Details : Multiple Locations: Miami Florida, Charlotte North Carolina, New York City</div>

Data Engineering & Analytics, Credit Review

<div><div><b>SUMMARY: </b>A Corporate Banking Relationship Manager is responsible for originating commercial loans and for cross-selling BankUnited products to commercial accounts. Incumbents are expected to meet or exceed production goals.</div><br>
<div><b>ESSENTIAL DUTIES AND RESPONSIBILITIES</b> include the following. Other duties and special projects may be assigned.
<ul><li>Interviews loan applicants, and collects and analyzes financial and related data to determine the general creditworthiness of the prospect and the merits of the specific loan request.</li>
<li>Establishes, and negotiates terms under which credit will be extended, including the costs, repayment method, and schedule and collateral requirements.</li>
<li>Collects and analyzes information that reflects the current creditworthiness of customers and the current merits of existing loans. May obtain information through direct inspection of the applicant's business and/or collateral, review of interim financial reports, personal interview, and other means.</li>
<li>Presents loan requests to the executive loan committee when the proposed loan dollar volume exceeds the department's lending authority.</li>
<li>Authorizes or rejects overdrafts in depository account within established authorities.</li>
<li>Monitors loan repayment activities and takes necessary action to collect from past-due accounts.</li>
<li>Advise customers, where possible, concerning business management and financial matters.</li>
<li>Serves as a contact officer for non-borrowing accounts and loan customers for matters relating to other bank services.</li>
<li>Develops new business by contacting prospects and customers, cross-sells bank services.</li>
<li>Prepares lending activity reports for department management.</li>
<li>Keeps abreast of local and national economic, financial, political and legislative events and climates which could have an impact on corporate and commercial lending activities.</li>
<li>Participates in community affairs to increase the bank's visibility and to enhance new business opportunities.</li>
<li>Maintains professional and community relations to increase the bank's visibility and new business opportunities, and to further personal development.</li>
<li>Adheres to and complies with applicable, federal and state laws, regulations and guidance, including those related to anti-money laundering (i.e. Bank Secrecy Act, US PATRIOT Act, etc.).</li>
<li>Adheres to Bank policies and procedures and completes required training.</li>
<li>Identifies and reports suspicious activity.</li></ul><br>
</div>
<br>
<div><div><b>EDUCATION</b></div>
<div><br>
Bachelor's Degree in business administration and/or finance required</div><br>
<div><b>EXPERIENCE</b></div>
<div><ul><li>7-9 Years of commercial lending experience required</li></ul><br>
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<div><b>CERTIFICATES, LICENSES, REGISTRATIONS</b></div>
<div><ul><li>DL NUMBER - Driver License, Valid and in State required</li>
</ul></div><div><b>ADDITIONAL INFORMATION</b></div>
<div><ul><li>Candidates residing in locations within BankUnited's footprint may be given preference.</li></ul></div></div></div>

Corporate Banking Relationship Manager III

<div><div><b>SUMMARY: </b>We are seeking an Artificial Intelligence/Machine Leaning (AI/ML) Solutions Engineer specialized in both AI &amp; ML technologies and data engineering to join our data analytics team at BankUnited. In this role, you will design, develop, and deploy end-to-end AI &amp; ML solutions that enhance our financial services, improve customer experiences, and optimize internal operations. This position offers an exciting opportunity to leverage your expertise in AI technologies and data engineering to transform our banking operations. You will be responsible for building comprehensive solutions from data pipeline development to AI/ML model deployment, addressing complex financial services challenges while working in a collaborative environment with cross-functional teams. As an ideal candidate, you will combine technical expertise in AI/ML with strong data engineering skills on AWS to build resilient, adaptable systems that can evolve with rapidly changing technologies. Success in this role requires practical implementation experience across the entire AI solution lifecycle - from data preparation and infrastructure design to model development and deployment - all within a regulated banking environment.</div>
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</p><div><b>ESSENTIAL DUTIES AND RESPONSIBILITIES</b> include the following. Other duties and special projects may be assigned.
<ul><li>Designs and implements generative AI applications for financial use cases, including document analysis, conversational interfaces, and predictive models</li>
<li>Develops and maintains machine learning pipelines using AWS SageMaker or similar cloud platforms</li>
<li>Designs and implements data pipelines to support AI/ML workflows on AWS</li>
<li>Develops ETL processes to prepare data for machine learning models</li>
<li>Collaborates with stakeholders to identify opportunities for AI implementation and innovation</li>
<li>Evaluates, fine-tune, and deploys large language models for financial services applications</li>
<li>Performs comprehensive model risk assessments and develop mitigation strategies</li>
<li>Designs and implements model benchmarking frameworks to evaluate performance, bias, and robustness</li>
<li>Documents model limitations and establish monitoring systems for early risk detection</li>
<li>Works with compliance teams to ensure AI systems meet regulatory requirements for model risk management</li>
<li>Ensures AI systems comply with banking regulations and ethical standards</li>
<li>Stays current with rapid advancements in AI technologies and methodologies.</li>
<li>Adheres to and complies with applicable, federal and state laws, regulations and guidance, including those related to anti-money laundering (i.e. Bank Secrecy Act, US PATRIOT Act, etc.).</li>
<li>Adheres to Bank policies and procedures and completes required training.</li>
<li>Identifies and reports suspicious activity.</li>
</ul>
</div><p></p><div><div><b>EDUCATION</b></div>
<div><br>
Bachelor's Degree in Computer Science, Data Science, Mathematics, or related field or experience required Or</div><br>
<div><b>EXPERIENCE</b></div>
<div><ul><li>5+ years of experience required</li>
<li>Proven track record of deploying generative AI solutions in production environments (eg, chatbots, content generation systems, or AI assistants) required</li>
<li>Experience building and deploying machine learning models in production environments required</li>
<li>Experience implementing model validation techniques and performance benchmarking required</li>
<li>Experience with AWS data services (S3, Glue, Redshift, Athena) required</li>
<li>Experience with SQL and NoSQL databases required</li>
<li>Experience working with data scientists, product managers, and business units preferred</li>
<li>Experience developing model governance frameworks compatible with financial service regulations preferred</li>
<li>Experience with quantitative model risk assessment and establishment of risk thresholds preferred</li>
<li>Proven track record working with various Machine Learning Models, implementing them for various business use cases preferred</li>
<li>Expertise in designing controlled testing environments to benchmark model performance against established standards preferred</li>
<li>Experience implementing RAG (Retrieval-Augmented Generation) systems and other LLM-enhancement architectures preferred</li>
<li>Experience in a regulated industry, particularly financial services preferred</li>
<li>Experience with vector databases and semantic search technologies preferred</li>
<li>Experience developing scalable and maintainable AI infrastructures that accommodate rapid technological advancements</li></ul><br>
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<div><b>KNOWLEDGE, SKILLS AND ABILITIES</b></div>
<div><ul><li>Strong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow, Hugging Face) required</li>
<li>Strong understanding of model risk management frameworks and methodologies required</li>
<li>Knowledge of best practices for mitigating AI-specific risks, including bias, drift, and adversarial vulnerabilities required</li>
<li>Familiarity with cloud-based ML platforms (AWS SageMaker, Azure ML, or GCP Vertex AI) required</li>
<li>Familiarity with data pipeline orchestration tools (e.g., AWS Step Functions, Airflow) required</li>
<li>Understanding of data modeling and database design principles required</li>
<li>Understanding of NLP concepts and experience working with language models required</li>
<li>Knowledge of data security and privacy considerations, especially in financial contexts required</li>
<li>Strong collaborative skills and experience working in cross-functional teams required</li>
<li>Ability to communicate complex technical concepts to non-technical stakeholders required</li>
<li>Proficiency in using Amazon Q Business for enterprise operations and solutions required</li>
<li>Demonstrated passion for AI advancement, with a track record of self-directed learning, experimentation with emerging technologies, and willingness to pioneer innovative approaches preferred</li>
<li>Familiarity with AI orchestration and agent technologies preferred</li>
<li>Knowledge of prompt engineering and model fine-tuning techniques preferred</li>
<li>Understanding of AI explainability and bias mitigation approaches preferred</li>
<li>Forward-thinking approach to AI system design, with focus on adaptability and resilience preferred</li>
<li>Deep understanding of cloud architecture principles to design modular, interchangeable systems preferred</li>
<li>Demonstrated ability to anticipate technological changes and build solutions that can evolve preferred</li>
</ul></div><div><b>ADDITIONAL INFORMATION</b></div>
<div><ul><li>Candidates residing in locations within BankUnited's footprint may be given preference.</li></ul></div></div></div><p></p>

AI/ML Solutions Engineer

Join BankUnited and explore 3   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.

BankUnited

ABOUT_COMPANY

Data Engineering & Analytics, Credit Review

Corporate Banking Relationship Manager III

AI/ML Solutions Engineer