Risk Modeling Analyst (Intermediate) — SAS/Python

Aplaro Ltd; United Kingdom; On-site; GBP 70,000 - 110,000; Full time

Job summary

Citi in the United Kingdom is seeking a developing professional for risk analytics and model development. The role focuses on measuring and analyzing risk across market, credit, and operational types, with emphasis on accuracy and regulatory compliance.

The candidate will apply SAS and Python, provide data-driven insights, and work with senior risk staff to enhance models, reporting, and governance while maintaining rigorous documentation.

Qualifications

• 4+ years experience in risk analytics and model development.
• Hands-on experience with SAS and Python required.
• Proficient in Microsoft Office with emphasis on Excel.
• Clear and concise written and verbal communication skills.
• Self-motivated and detail oriented.
• Demonstrated project management and organizational skills, able to handle multiple projects.

Responsibilities

• Develops, enhances, and validates methods for measuring and analyzing risk across market, credit and operational types.
• May develop, validate, and strategize uses of scoring models and scoring model related policies.
• Supports design, delivery and maintenance of risk programs, policies and practices for Risk Management.
• Reviews analytics, models and related documents to ensure regulatory and legal compliance.
• Identifies potential risks and escalates for review.
• Creates and maintains reports for control, tracking, and analysis and ensures secure retention of documents.
• Works with senior staff in investigating customer and operational issues and interacts with other areas within Risk Management.

Skills

Analytical Thinking

Data Analysis

Credible Challenge

Governance

Policy

Procedure

Risk Management Lifecycle

Education

Bachelor’s/University degree or equivalent experience

Tools

SAS

Python

MS Excel

Job description

Citi in the United Kingdom is seeking a developing professional for risk analytics and model development. The role focuses on measuring and analyzing risk across market, credit, and operational types, with emphasis on accuracy and regulatory compliance.

The candidate will apply SAS and Python, provide data-driven insights, and work with senior risk staff to enhance models, reporting, and governance while maintaining rigorous documentation.