Job Description

Assurance & Risk Analytics Specialist

We're partnering with a leading regional financial institution to hire a Data Analytics Specialist to focus on technology risk domain. This role is a great opportunity for someone passionate about data-driven risk insights, with a strong interest in analytics innovation and regulatory compliance.




You'll be joining a high-impact team responsible for enhancing risk visibility and automating assurance processes across complex tech and operational environments. This is a unique chance to make your mark on risk governance strategy and data-centric decision-making at scale.

Key Responsibilities

Design, build, and maintain dashboards, data models, and analytics use cases to support risk assurance reviews and ongoing monitoring. Automate assurance testing workflows to improve efficiency, accuracy, and review coverage. Work with structured and unstructured data from various systems (e.g., audit logs, metrics, incidents) to power centralized insights. Use statistical and machine learning techniques to surface meaningful trends, anomalies, and risk signals. Ensure high standards in data quality, integrity, and governance, including data validation, transformation, and documentation. Collaborate across regions to champion data analytics initiatives that support broader risk and assurance programs. Stay up to date with the latest analytics trends and tools and contribute to the adoption of best practices.

Requirements:

Degree in Data Analytics, Computer Science, Information Systems, or related field; Master's degree is a strong advantage. At least 8 years' experience in data analytics, ideally with exposure to technology risk, internal audit, or compliance functions in financial services. Strong grasp of application architecture, data visualization, and data transformation best practices. Technical proficiency in:

Languages

: Python, R, SQL, SAS

Platforms

: Cloudera, Hive, Hadoop, Spark

Visualization tools

: Power BI, Qlik

Automation tools

: RPA or similar technologies Experience working with predictive modeling and statistical techniques like clustering, regression, etc. A sharp, analytical mind with the curiosity to explore complex data sets and uncover insights that influence key decisions. Effective communication skills to translate technical findings into business-relevant insights for senior stakeholders.
R1442954