Senior Data / AI Officer

We are seeking an exceptional Senior Data & AI Officer (SDAO) for our data, analytics and artificial intelligence strategy. This executive will be responsible for ensuring the accuracy, integrity, and consistency of the data used in our underwriting models, decision rules, and automated approval processes. You will conduct thorough validation checks, implement testing automation, and provide end-to-end support for data flows in new model deployments. You will also be involved in building the next generation of credit intelligence, automation and predictive analytics across the business., The Senior Data & AI Officer is responsible for the company’s end-to-end data strategy, artificial intelligence initiatives, underwriting intelligence and analytical capabilities. Reporting directly to the Chief Executive Officer, the SDAO will oversee the design, governance and evolution of our data platform while driving innovation across credit decisioning, fraud detection, pricing, collections, customer experience and portfolio management.

This role combines executive leadership with hands-on technical oversight, ensuring our proprietary lending platform continues to deliver industry-leading automation, speed and credit performance., * Data Validation: Verify the accuracy and consistency of data by comparing model variables, decision rules, and automated approval data against raw data sources.

• Data Integrity and Consistency Checks: Implement automated checks to continuously monitor the integrity and consistency of critical data, including loan application data, underwriting variables, credit risk metrics, and transaction data. Set up processes to detect and flag data anomalies, missing values, and outliers.
• Testing Automation and Tooling: Develop and utilize scripts, queries, or testing tools to automate data quality checks, ensuring efficient validation of large data sets used in underwriting and credit models. Maintain and update test cases for various data inputs, variables, and decision logic as new models or rules are developed.
• End-to-End Data Testing for Model Deployments: Participate in the testing phase of new model deployments to verify that model inputs and outputs are correct and aligned with raw data sources. Conduct post-implementation testing to ensure that deployed models function as expected and data flows correctly from raw sources to decision outputs.
• Support for Model Calibration: Assist in calibrating models to ensure data accuracy and reliability as model parameters are updated or refined.
• Collaboration with Data Governance and Risk Teams: Work closely with data governance and risk management teams to ensure data quality aligns with the overall risk management strategy.
• Reporting & Documentation: Document findings, errors, and validation processes. Prepare reports that summarize data quality issues and suggested improvements. Ensure data integrity across loan facilities, securitisation structures and tokenized investment products.

• Bachelor’s degree in Computer Science, Data Science, Statistics, Engineering, Mathematics or a related discipline.
• Experience within fintech, lending, banking, payments or financial services is highly desirable.
• Minimum 3 years of experience in a data validation, quality assurance, or analytical role (internship or project experience considered).
• Strong analytical skills with attention to detail and accuracy.
• Familiarity with SQL and experience in querying and validating data.
• Basic understanding of model variables, decision rules, and automated decision-making processes.
• Experience with Data Quality Tools: Familiarity with data quality and validation tools such as SQL Server Data Quality Services (DQS), DataRobot, Trifacta, or Talend for data cleansing and monitoring.
• Scripting and Automation Skills: Proficiency in Python or R for developing scripts to automate data validation and testing tasks.
• Strong documentation skills to create comprehensive reports on data quality issues, improvements, and testing results.
• Good communication skills, with the ability to work effectively in a remote team environment.

Preferred Qualifications:

• Familiarity with Microsoft Azure services or other cloud environments.
• Basic understanding C#
• Basic understanding of model validation processes, especially if the role involves assisting with model testing and calibration.
• Experience with alternative credit data, open banking, financial APIs and automated decision engines will be highly regarded., * REST: 1 year (Preferred)
• Java: 1 year (Preferred)

$70,000 - $110,000 a year - Part-time, Full-time, Pulled from the full job description

• Flexible schedule, * Learning and Growth: Be a part of a team that supports your professional development and career advancement in a fast-growing company.
• Innovative Projects: Contribute to meaningful projects that make a difference in the financial industry.
• Equal Opportunity Employer: Plexe LLC is committed to creating a diverse and inclusive work environment. We are proud to be an equal opportunity employer and encourage applications from all backgrounds.

Job Types: Full-time, Part-time

Pay: $70,000.00 - $110,000.00 per year

About Us: Plexe LLC is a fast-growing fintech lender transforming how small and medium-sized businesses access working capital. Through our proprietary technology platform, automated underwriting, and data-driven decision engine, we provide flexible revolving lines of credit that enable businesses to grow while delivering institutional-grade credit performance.

As we continue to scale and expand our institutional funding partnerships, including digital and tokenized asset initiatives, data and artificial intelligence sit at the core of our next stage of growth.