Technical Systems Analyst

IntecSelect; Greater London; Hybrid; GBP 80,000 - 90,000; Full time

Job summary

IntecSelect seeks a Technical Systems Analyst to join a major financial crime technology program in Greater London. You will analyse requirements from cross-functional teams and translate them into scalable technical strategies that strengthen the compliance posture of the bank.

The role combines hands-on scripting in Python, PowerShell, .NET and Power BI with system design, data flows, and collaboration with Compliance, Operations and Risk to deliver robust controls and audit-ready

Qualifications

• Demonstrable experience analysing complex systems within regulated banking environments, with a focus on financial crime prevention or surveillance technologies
• Python and PowerShell for automation; experience with .NET and Power BI for data processing/integration
• Strong data engineering background - Snowflake, advanced SQL, MongoDB (NoSQL), SSIS
• Practical knowledge of Apache Kafka; exposure to Kubernetes for cloud deployments
• Hands-on GitHub usage - branching strategies, release management
• Agile/Scrum delivery experience with JIRA/Confluence
• Exposure to AI/ML frameworks (TensorFlow, PyTorch) and model life cycle management - beneficial
• Experience with transaction monitoring (e.g., Actimize), sanctions screening (e.g., Fircosoft), or market/trade surveillance platforms - beneficial but not essential
• Excellent communication skills - able to explain technical concepts to non-technical audiences
• Proactive, organised, able to manage large workloads under tight deadlines

Responsibilities

• Analyse, design, and implement enhancements for financial crime and surveillance platforms.
• Hands-on development, configuration, and scripting using Python, PowerShell, .NET, and Power BI.
• Translate business needs into technical specifications, ensuring robust, compliant solutions.
• Conduct root cause analysis and design preventative controls.
• Act as technology contact during audits, providing evidence and data extracts.
• Collaborate with Compliance, Operations, and Risk as a liaison between users and tech.
• Provide SME input on systems architecture and data flows.
• Analyse large datasets for anomalies and maintain data integrity.
• Support model validation and tuning ML models to enhance detection.
• Participate in change management: upgrades, patches, implementations, documentation, version control.

Skills

Python

PowerShell

.NET

Power BI

Snowflake

SQL

MongoDB

Kafka

Kubernetes

GitHub

Agile

JIRA

Confluence

TensorFlow

PyTorch

Actimize

Fircosoft

Tools

Snowflake

SQL

MongoDB

SSIS

Kafka

Kubernetes

GitHub

JIRA

Confluence

TensorFlow

PyTorch

Actimize

Fircosoft

Job description

Technical Systems Analyst - Financial Crime Technology

Permanent | Hybrid | £80,000 - £90,000

Overview

Opportunity to join a leading bank's fight against financial crime through advanced technological solutions. You will collaborate with cross-functional teams to analyse business requirements and translate them into technical strategies that strengthen the compliance posture of a major financial institution.

Role & Responsibilities

• Analyse, design, and implement enhancements for complex financial crime and surveillance platforms - transaction monitoring, sanctions screening, and market surveillance systems
• Hands-on development, configuration, and Scripting using Python, PowerShell, .NET, and Power BI to deliver scalable technical solutions
• Translate complex business needs into clear technical specifications, ensuring solutions are robust, compliant, and future-proof
• Conduct root cause analysis on system issues and design preventative controls to mitigate risk
• Act as key technology contact during internal/external audits - providing evidence of controls, documentation, data extracts, reconciliations, and supporting remediation
• Collaborate with Compliance, Operations, and Risk teams as liaison between business users and technology
• Provide SME input on financial crime systems architecture and data flows
• Analyse large datasets for anomalies or control gaps, maintaining data integrity across surveillance/reporting systems
• Support model validation, including tuning ML models to enhance detection capabilities
• Participate in change management - system upgrades, patching cycles (SIT/UAT), implementations, documentation, version control

Skills & Experience

• Demonstrable experience analysing complex systems within regulated banking environments, with a focus on financial crime prevention or surveillance technologies
• Python and PowerShell for automation; experience with .NET and Power BI for data processing/integration
• Strong data engineering background - Snowflake, advanced SQL, MongoDB (NoSQL), SSIS
• Practical knowledge of Apache Kafka; exposure to Kubernetes for cloud deployments
• Hands-on GitHub usage - branching strategies, release management
• Agile/Scrum delivery experience with JIRA/Confluence
• Exposure to AI/ML frameworks (TensorFlow, PyTorch) and model life cycle management - beneficial
• Experience with transaction monitoring (eg Actimize), sanctions screening (eg Fircosoft), or market/trade surveillance platforms - beneficial but not essential
• Excellent communication skills - able to explain technical concepts to non-technical audiences
• Proactive, organised, able to manage large workloads under tight deadlines

Details

• Permanent role
• Hybrid working
• £80,000 - £90,000