Data Engineer

Job Description:

As a motivated selfstarter with a passion for solving complex business and technology challenges the candidate will play a key role in advancing the Firms Risk Observability Measurement Analytics and Automation capabilities

Operating at the intersection of data engineering analytics risk management observability and emerging technologies this individual will help transform operational and risk data into actionable insights that improve transparency decisionmaking and organizational resilience

The successful candidate will partner closely with stakeholders across Technology Risk Engineering Operations Goverance Compliance and Technology organizations to design and implement modern analytical solutions

Through a combination of data engineering metric development dashboarding

automation and Alenabled

capabilities the individual will help provide endtoend visibility into control coverage control health behavioural performance directional trends risk posture and areas of risk concentration

This role is ideal for an intellectually curious individual who thrives in ambiguity enjoys solving complex problems communicates effectively with technical and nontechnical stakeholders and has a genuine interest in data engineering analytics observability automation artificial intelligence and emerging technologies The ideal candidate will combine strong technical skills with business acumen and communication capabilities allowing them to bridge the gap between stakeholders data and technology solutions

Responsibilities include

Design develop and maintain scalable measurement frameworks that provide endtoend visibility into control coverage health effectiveness and behavioral performance

Leverage Al Intelligence to optimize architecture and improve automation

Engineer observability solutions that proactively monitor configuration changes control performance operational trends risk signals and testing outcomes

Continuously assess risk posture against defined tolerance thresholds and identify areas that are within limits approaching breach or out of tolerance

Identify directional trends across control populations including improvement patterns degradation signals and early warning indicators

Expose relationships between controls technology assets processes and levels of criticality to identify where risk is concentrated and where failures may have the greatest impact

Acquire transform enrich validate and reconcile data used within reporting measurement and control observability frameworks

Develop lightweight integrations and automated data acquisition approaches across enterprise platforms interal datasets and operational data sources

Engineer Implement and maintain Key Risk Indicators KRis Key Control Indicators Kis Key Performance Indicators KPIs scorecards and supporting measurement methodologies

Design scalable metric architectures capable of supporting large populations of controls technology assets operational processes and risk reporting use cases

Translate stakeholder requirements into business rules calculation logic control measurements analytical models and repeatable reporting outputs

Develop analytical models dashboards scorecards executive reporting and observability views that steer business decisions and improve risk management outcomes

Analyze complex datasets to identify trends anomalies emerging risks data integrity concerns and opportunities for operational improvement

Automate KRI reporting processes governance deliverables dashboard observability risk scorecards and ticket

workflow automation where appropriate

Support Risk Control Observability reporting initiatives scorecard development stakeholder roadshows and alignment with governance forums

Identify opportunities to automate manual operational processes legacy scripts reporting activities workflow handoffs and analytical procedures

Leverage Python SQL Snowflake Power Platform Power Automate repositories SL practices source control

GitHub Copilot and Alassisted development to deliver scalable solutions

Research and apply Generative Al Cortex Platform capabilities Al skills development and emerging technologies to improve workflow automation proactive risk identification and capability enhancements

Gather document and refine business requirements through direct stakeholder engagement structured problem solving and strong communication

Translate ambiguous business challenges into actionable analytical engineering automation and reporting solutions

Support product ownership squad delivery program leadership roadmap development prioritization horizontal strategy and executivelevel presentations

Qualifications and Skills Required

5 years of experience in Analytics Engineering Data Engineering Business Intelligence

2 years using Al Dev Tools and Frameworks

Strong problemsolving and criticalthinking capabilities with the ability to decompose complex challenges into practical scalable solutions

Demonstrated ability to leam new technologies business domains platforms and analytical methodologies quickly

Excellent verbal and written communication skills with the ability to engage both technical and nontechnical stakeholders

Experience soliciting requirements from stakeholders and translating business objectives into measurable technical

outcomes

Ability to work in complex fastpaced and ambiguous environments while managing multiple priorities and driving items to completion

Strong stakeholder management relationshipbuilding organization and execution skills

Passion for data analytics engineering observability automation artificial intelligence and emerging technologles

Interest in Technology Risk Observability Monitoring Operations Compliance Security Control Effectiveness or related disciplines

Technical Skills

Data Engineering Integration SQL Python Snowflake ETL ELT Development APl Integration Data Quality Management

Analytics Measurement Engineering KPI KRI and KCI Development Risk Analytice Trend Analysis Dashboard Development Power BI ExecutiveLevel Reporting Observability Analytice Control Effectiveness Analysis

Development Tooling Artificial Intelligence Repositories SLC Source Control GitHub Copilot AlAssisted Development Generative Al Technologies Power Platform Copilot Studio Cortex Platform AI SKILLS MD

Development

Automation Workflow Development Power Platform Power Automate workflow automation monitoring and alerting automation process optimization legacy script automation and maintenance

Preferred Qualifications

Experience in Technology Risk Operational Risk Compliance Audit Security Controls Governance Observability Monitoring Operations or related functions

Experience building enterprisescale measurement scorecard observability and risk intelligence capabilities

Familiarity with TCP OpenPages control frameworks governance reporting processes ITAMEOL compliance analytics encryption reporting cloud observability or asset govemance intiatives

Experience identifying emerging risks expanding KRIKCKPI measurement coverage supporting risk testing evaluating control effectiveness and developing early warning indicators

Experience with scenario analysis stress testing risk forecasting proactive monitoring alerting production support and operational workflow automation

Strong interest in leveraging analytics automation artificial intelligence and emerging technologies to create measurable business value