Risk and Controls

Risk and Controls
PAYE Agency worker contract (Inside IR35)
Hybrid - 3 days per in Sheffield

Job Overview
We are seeking an experienced CTO Risk & Control professional to join our international banking organization. This role will be instrumental in driving our technology risk management and control strategies, with a focus on cloud technologies and governance.

Key Responsibilities

• Lead the development and implementation of technology risk management strategies, particularly in cloud environments.
• Oversee compliance of our public cloud platform, interfacing with regulators, auditors, and internal stakeholders.
• Develop and maintain robust governance frameworks for technology risk and control across the bank's global operations.
• Collaborate with senior stakeholders in Risk, Finance, and Front Office to execute projects across the Capital spectrum.
• Manage the overall book of work for ensuring compliance of our technology platforms, including cloud services.
• Implement solutions aligned with the bank's compliance and security requirements.
• Drive the adoption of best practices in risk management and control within the technology department.

Qualifications and Skills

• Advanced degree in Computer Science, Engineering, or related field.
• Extensive experience in technology risk management within the banking or financial services sector.
• Strong understanding of cloud technologies and associated risk management strategies.
• Proven track record in developing and implementing governance frameworks.
• Excellent communication skills with the ability to present complex technical information to various stakeholders.
• Deep knowledge of regulatory requirements in the banking industry.
• Experience in managing and mentoring teams across multiple time zones.

Preferred Qualifications

• Experience with financial industry regulations, particularly in Credit Risk & Market Risk Capital domains.
• Familiarity with event-driven design of Microservices and 12-factor app development standards.
• Knowledge of big data platforms and technologies such as Hadoop, Hive, HDFS, Presto/Starburst, Spark, and Kafka.