Finance Analytics & Quant Engineering Director

Webster Bank

Stamford (CT)

On-site

USD 160,000 - 180,000

Full time

14 days+

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Job summary

Webster Bank is seeking a Director, Quant Engineer, Finance Analytics in Stamford to lead the design, development, and maintenance of data workflows, analytical solutions, and reporting capabilities for critical FP&A initiatives. You will partner with Finance, IT, Data Management, Risk, and business stakeholders to translate requirements into scalable analytics.

The role combines hands-on coding with strategic leadership to drive automation and operational excellence across R&D, Quarterly

Qualifications

10+ years of software engineering, data engineering, analytics, or quantitative modeling experience within a commercial bank or financial institution.
Strong experience with complex relational databases and large-scale data structures using Oracle, SQL, or similar technologies.
Advanced proficiency in Python, SAS, and/or R programming languages.
Experience designing, implementing, and maintaining efficient and scalable data workflows.
Experience with workflow orchestration tools such as Apache Airflow or similar platforms.
Strong understanding of software development lifecycle methodologies, coding standards, testing frameworks, and deployment practices.
Experience building analytical solutions supporting financial, credit risk, forecasting, or reporting functions.
Knowledge of commercial and consumer banking products, processes, and operations.
Strong analytical, problem-solving, and critical-thinking capabilities.
Demonstrated ability to manage multiple priorities and deliver high-quality results in a fast-paced environment.
Excellent written and verbal communication skills with the ability to explain complex concepts to diverse audiences.
Strong attention to detail and commitment to data quality and accuracy.

Responsibilities

Gather, analyze, and document FP&A business requirements and translate them into scalable analytical and technical solutions.
Design, develop, implement, and maintain robust data workflows supporting financial planning, forecasting, reporting, and credit analytics.
Lead the development, implementation, and maintenance of CECL credit loss models supporting regulatory reserving, stress testing, and underwriting activities.
Participate in coding, testing, deployment, and maintenance of analytical models, workflows, and production processes.
Develop deep expertise in Webster's data platforms, systems, tools, and reporting environments.
Partner with IT, Data Management, Finance, Risk, and business stakeholders to develop data architectures, workflows, and reporting solutions.
Create intuitive reports, dashboards, and data visualizations that enable effective decision-making across the organization.
Anticipate, identify, and resolve data quality, workflow, and operational challenges impacting model and reporting processes.
Maintain comprehensive workpapers and development documentation supporting governance, audit, validation, and regulatory requirements.
Author technical documentation detailing model design, development, testing, implementation, and ongoing enhancements.
Effectively communicate analytical findings, technical concepts, and business insights to both technical and non-technical audiences.
Lead and/or participate in discussions with Executive Management, Model Risk Management, Audit, Regulatory, and cross-functional project teams.
Drive continuous improvement initiatives by identifying opportunities to automate processes and enhance analytical capabilities.