Senior Quant/Risk Professional - Machine Learning, Surveillance
Posted 1 day ago by 1760614212
£1,000 Per day
Inside
Onsite
London
Summary: This role seeks a Senior Quant/Risk Professional specializing in AI Model Validation and Trade Surveillance for a leading investment bank in London. The position focuses on validating trade surveillance models to ensure compliance with regulatory standards while utilizing Python for model evaluation and testing. The ideal candidate will possess a strong quantitative background and hands-on experience in developing or validating AI/machine learning models. This opportunity offers a dynamic work environment with a focus on market abuse detection and conduct risk management.
Key Responsibilities:
- Independently validate and periodically review trade surveillance models for robustness and regulatory compliance
- Evaluate data quality, feature engineering, and model performance across surveillance systems
- Review model documentation for conceptual soundness, implementation quality, and governance controls
- Conduct benchmarking, backtesting, and stress testing using Python to challenge model design
- Assess statistical and machine learning-based surveillance systems for transparency and effective alert thresholds
- Provide quantitative and qualitative assessments of model accuracy, stability, and business suitability
- Collaborate with model developers, compliance, and surveillance teams to communicate findings and support remediation
- Produce clear and actionable reports summarising validation outcomes and risk ratings for senior stakeholders
- Support regulatory validation work under FCA and other relevant frameworks
- Contribute to the enhancement of validation methodologies for surveillance models
Key Skills:
- Experience in data science, machine learning development or validation, or a quantitative role in financial services or regulated industries
- Strong academic background in data science, statistics, mathematics, computer science, or a related field
- Solid analytical and problem-solving skills with the ability to assess surveillance systems
- Familiarity with configuring, tuning, or validating third-party trade surveillance tools
- Understanding of model governance frameworks and regulatory expectations under MAR and FCA
- Strong written and verbal communication skills for documenting and presenting findings
- Ability to work collaboratively and manage tasks effectively to deliver high-quality outputs
- Proven ability to engage with stakeholders across risk, compliance, and technology functions
Salary (Rate): £1000 daily
City: London
Country: United Kingdom
Working Arrangements: on-site
IR35 Status: inside IR35
Seniority Level: Senior
Industry: IT
Senior Quant/Risk Professional - AI Model Validation, Python, Trade Surveillance sought by leading investment bank based in the city of London.
**Inside IR35 -2/3 days a week on site**
Summary
This is an exciting opportunity for a highly motivated professional to join a dynamic team focused on validating trade surveillance models. The role involves ensuring that systems used to detect market abuse, insider trading, and other conduct risks are conceptually sound, explainable, and compliant with regulatory standards such as FCA and PRA SS1/23.
The ideal candidate will have a strong quantitative background, hands-on programming experience in Python, and a track record of developing or validating AI/machine learning or statistical models in surveillance or conduct risk contexts.
Key Responsibilities
- Independently validate and periodically review trade surveillance models for robustness and regulatory compliance
- Evaluate data quality, feature engineering, and model performance across surveillance systems
- Review model documentation for conceptual soundness, implementation quality, and governance controls
- Conduct benchmarking, backtesting, and stress testing using Python to challenge model design
- Assess statistical and machine learning-based surveillance systems for transparency and effective alert thresholds
- Provide quantitative and qualitative assessments of model accuracy, stability, and business suitability
- Collaborate with model developers, compliance, and surveillance teams to communicate findings and support remediation
- Produce clear and actionable reports summarising validation outcomes and risk ratings for senior stakeholders
- Support regulatory validation work under FCA and other relevant frameworks
- Contribute to the enhancement of validation methodologies for surveillance models
Skills and Experience
- Experience in data science, machine learning development or validation, or a quantitative role in financial services or regulated industries
- Strong academic background in data science, statistics, mathematics, computer science, or a related field
- Solid analytical and problem-solving skills with the ability to assess surveillance systems
- Familiarity with configuring, tuning, or validating third-party trade surveillance tools
- Understanding of model governance frameworks and regulatory expectations under MAR and FCA
- Strong written and verbal communication skills for documenting and presenting findings
- Ability to work collaboratively and manage tasks effectively to deliver high-quality outputs
- Proven ability to engage with stakeholders across risk, compliance, and technology functions
Please apply within for further details or call on 07393149627
Alex Reeder
Harvey Nash Finance & Banking