Overview:

We don’t simply hire employees. We invest in them. When you work at Chatham, we empower you — offering professional development opportunities to help you grow in your career, no matter if you've been here for five months or 15 years. Chatham has worked hard to create a distinct work environment that values people, teamwork, integrity, and client service. You will have immediate opportunities to partner with talented subject matter experts, work on complex projects, and contribute to the value Chatham delivers every day. The Lead Data Quality Analyst will report to the Engineering Manager of the Data Quality and Governance subdepartment and will manage the Data Quality team. The role will be focused on improving existing or creating new Data Quality Analysis capability that enables the assessment of Data Quality in an automated manner and at scale within the Enterprise Data Platform. To do this, the Lead Data Quality Analyst will manage a team of talented Data Quality Analysts and will be part of a mix of projects involving Software & Data Engineering activities across the internal Product Development streams. The Lead Data Quality Analyst will support Product Enablement engagements as well, where the Software & Data Engineering activities would be centered on enablement and customizations activities cross-functional teams in Chatham Financial Asset Platform perform to the company product for our clients in the Commercial Real Estate industry – activities which follow the general Product Development lifecycle. The role will be based in Romania.

In this role you will:

• Work closely with Senior Data or Technology leadership in Chatham Financial Asset Platform to design new Enterprise Data Platform components and provide implementation specification/lower-level design/task decomposition
• Establish Data Quality Analysis best practices employed in monitoring Data Quality at scale and oversee to their adherence
• Implement new components/features of the Enterprise Data Platform to advance Data Quality Assessments deployed across various business-oriented or technical products using a mix of Python, SQL and dbt
• Contribute to developing or maintaining capability to generate sample input datasets that can be used to test various features of the product
• Actively communicate about Data Quality (status, health, trends, impact) to business stakeholders and work to understand and support related business-facing initiatives and expectations
• Actively monitor Data Quality across client production environments and support the execution of Root Cause Analysis procedures related to potential Data Quality failures detected through scheduled or adhoc assessments
• Certify Product features from a Data Quality standpoint across internal or client environments
• Review existing components/features of the Enterprise Data Platform related to Data Quality Analysis periodically and create improvement plans, identify potential issues
• Review work done by Data Quality Analysts, provide advice and guidance on data quality assessment practices, interacting with data platforms, scalability
• Collaborate with the Lead Software Engineer for Data Quality Automation (in absence, Engineering Manager of Data Quality and Governance) to develop and maintain infrastructure to support the scalable analysis of Data Quality Assessment Results
• Cultivating the sense of ownership culture across all Data Quality Analysis team members. 
• Mentor more-junior Data Quality Analysts 
• Design & establish individual training plans

Your impact:

As a Lead Data Quality Analyst, you will play a critical role in analysing and managing Data Quality in Data Platforms or data-oriented software solutions at scale. Your proven understanding of architectural practices employed in designing Data Platforms (Lambda Architecture, Kimball Design, Data Producers, Data Consumers, Data Contracts) and strong analytical skills will ensure that investors can make informed decisions based on accurate insights. You’ll collaborate with internal teams to test new products, maintaining the highest standards of data quality.

Contributors to your success:

• B.S. or M.S. in Statistics / Mathematics / Economics / Computer Science / Management Information Systems or similar
• Proficient Data Analysis skills using a mix of tools/frameworks such as SQL, Python stack (pandas, polars, scikit-learn, seaborn, great expectations, soda), Power BI/Tableau
• Great database querying skills, preferably using SQL
• Proven understanding related to interacting with REST APIs
• Proven Software Engineering skills with at least a scripting/general purpose programming language, preferably Python, especially for Interacting with considerable amounts of data (retrieving, aggregating, profiling etc.) Generating meaningful sample/test data
• Knowledge of any of the following is a plus o OOP and Design Patterns relevant to Data Processing (Builder, Decorator to name a few) o SOLID principles (especially Single Responsibility Principle and Dependency Inversion Principle) DRY principles
• Good experience with version control systems such as Git
• Experience with branching models such as Trunk-based development, GitFlow or similar
• Represents a plus experience with any of the following: Snowflake, Docker
• Represents a big plus experience with any of the following: dbt (data build tool)/Dataform/similar, Power BI (especially DAX querying), Azure App Functions

About Chatham Financial:

Chatham Financial is the largest independent financial risk management advisory and technology firm. A leader in debt and derivative solutions, Chatham provides clients with access to in-depth knowledge, innovative tools, and an incomparable team of close to 700 employees to help mitigate risks associated with interest rate, foreign currency, and commodity exposures. Founded in 1991, Chatham serves more than 3,000 companies across a wide range of industries — handling over $750 billion in transaction volume annually and helping businesses maximize their value in the capital markets, every day. To learn more, visit www.chathamfinancial.com

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