Delivery Lead Banking Risk Analytics & Regulatory Reporting

uarrow pte. ltd.; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

uarrow pte. ltd. is seeking an experienced Delivery Lead to manage the implementation and enhancement of banking risk analytics and regulatory reporting apps across Moody’s RAy and RCO platforms in Singapore.

You will lead end-to-end delivery, configure risk solutions for Basel III, oversee data mapping and ETL processes, and coordinate cross-functional teams to ensure timely, compliant deployment and post-implementation validation.

Qualifications

• Experience with Moody’s RAy/RCO platforms.
• Knowledge of Basel III regulatory reporting.
• Strong Oracle SQL/PL/SQL and ETL experience.
• Experience with batch scheduling and automation (Control-M).
• Ability to translate business requirements into technical solutions.

Responsibilities

• Lead end-to-end implementation and delivery of banking risk analytics and regulatory reporting solutions using Moody’s RAy and RCO platforms.
• Configure and customize risk applications to support Basel III regulatory requirements, including SA, EAD and RWA calculations.
• Manage enhancements, data integration, migration and configuration changes for credit and liquidity risk and regulatory reporting systems.
• Oversee ETL development, data mapping, validation and reconciliation using Oracle SQL and PL/SQL.
• Coordinate implementation of regulatory reporting solutions supporting LCR, NSFR, IRR, IRRBB and other metrics.
• Lead technical impact assessments, solution design, development, testing, deployment and validation.

Skills

RAy

RCO

Fermat

Basel III

Stakeholder management

Tools

Oracle SQL

PL/SQL

ETL

Control-M

Spark

Python

Hive

Tableau

Job description

Job Summary

We are seeking an experienced Delivery Lead to manage the implementation, enhancement and delivery of banking risk analytics and regulatory reporting applications. The role focuses on Moody’s Risk Analytics platforms, including Risk Authority (RAy) and Risk Confidence Online (RCO), supporting Basel III regulatory capital calculations, liquidity risk management and regulatory reporting.

Key Responsibilities

• Lead end-to-end implementation and delivery of banking risk analytics and regulatory reporting solutions using Moody’s RAy and RCO platforms.
• Configure and customize risk applications to support Basel III regulatory requirements, including Standardised Approach (SA), Exposure at Default (EAD) and Risk-Weighted Assets (RWA) calculations.
• Manage application enhancements, data integration, migration and configuration changes for credit risk, liquidity risk and regulatory reporting systems.
• Oversee ETL development, data mapping, validation and reconciliation using Oracle SQL, PL/SQL and related data processing technologies.
• Coordinate implementation of regulatory reporting solutions supporting LCR, NSFR, IRR, IRRBB and other banking risk metrics.
• Lead technical impact assessments, solution design, development, testing, deployment and post-implementation validation.
• Work closely with business analysts, risk management, finance, data and infrastructure teams to translate business requirements into technical solutions.
• Monitor project deliverables, timelines, resource requirements, risks and dependencies, ensuring adherence to delivery and quality standards.
• Lead root cause analysis and resolution of application, data, calculation and batch-processing issues.
• Optimize application performance, ETL processes and batch orchestration using tools such as Control-M, Spark and Oracle PL/SQL.
• Manage release planning, environment migration, production deployments and operational handovers.
• Provide technical leadership, guidance and coordination to cross-functional teams across project locations.

Requirements

• Strong experience with Moody’s Risk Analytics platforms, particularly RAy, RCO and Fermat.
• Experience implementing or supporting Basel III regulatory reporting, credit risk and liquidity risk applications.
• Strong knowledge of Oracle SQL, PL/SQL, ETL processes, data integration and reconciliation.
• Experience with regulatory metrics such as LCR, NSFR, IRR, IRRBB, EAD and RWA.
• Familiarity with Spark, Scala, Python, Hive, Tableau and enterprise data processing environments.
• Experience managing application implementation, migration, testing, production deployment and technical issue resolution.
• Strong stakeholder management, project coordination, analytical and communication skills.
• Experience with batch scheduling and automation tools such as Control-M, Cron and scripting technologies.