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About the Role

We are seeking a highly skilled Security Data Analytics & Metrics Engineer to architect, engineer, and operate a strategic security analytics platform on AWS from the ground up. The successful candidate will design and build a modular security data architecture that ingests telemetry from security, cloud, infrastructure, identity, and risk management platforms to deliver executive-level metrics, operational insights, regulatory reporting, and continuous control assurance. The platform follows a modern federated architecture built around a Security Data Lake, analytics services, exposure management, and executive reporting capabilities rather than reliance on a traditional monolithic SIEM model. The role combines data engineering, cloud architecture, analytics engineering, and security domain expertise to create a trusted source of security performance data for technology leadership, regulators, auditors, and the Board.

Responsibilities

Design and implement a cloud-based security analytics platform on AWS.
Architect data pipelines that ingest, normalize, enrich, and correlate telemetry from multiple security and technology platforms.
Build and operate a Security Data Lake leveraging AWS-native services and open data standards.
Define scalable data models supporting operational metrics, risk analytics, compliance reporting, and executive dashboards.
Implement data governance controls, metadata management, lineage tracking, and quality assurance frameworks.
Develop real-time and batch data pipelines using AWS services including S3, Glue, Lambda, Athena, EMR, Redshift, Kinesis, and EventBridge.
Engineer integrations with SIEM platforms, IAM systems, Cloud Security Posture Management (CSPM), Endpoint Protection Platforms (EPP), Threat Intelligence platforms, and Exposure Management solutions.
Implement common data schemas and normalization standards, including OCSF where appropriate.
Build reusable APIs and data products enabling self-service analytics.
Define and maintain enterprise security KPIs, KRIs, PLAs, and performance metrics.
Build metric calculation frameworks covering incident management, Mean Time to Respond (MTTR), Mean Time to Neutralize (MTTN), security control effectiveness, vulnerability remediation, identity governance, cloud security posture, and regulatory compliance.
Create automated executive scorecards and Board-level reporting views.
Develop analytical models to identify trends, risks, control gaps, and performance opportunities.
Design and deliver enterprise dashboards using Power BI and AWS analytics tooling.
Translate technical security data into meaningful business outcomes and risk indicators.
Create reporting capabilities aligned to regulatory and operational requirements.
Partner with CISO, CRO, Internal Audit, and Technology leadership teams to define reporting needs.
Implement Infrastructure as Code using Terraform and AWS-native automation.
Establish CI/CD pipelines for analytics assets, dashboards, metrics, and data pipelines.
Monitor platform health, performance, cost, and reliability.
Drive cost optimisation by balancing Security Lake retention, analytics workloads, and SIEM indexing strategies.

Requirements

7+ years of experience in data engineering, analytics engineering, and cloud platform engineering.
3+ years designing and operating AWS-based data platforms.
Strong experience with AWS Security Lake, Amazon S3, AWS Glue, Athena, Lambda, Redshift, Kinesis, and CloudWatch.
Experience building large-scale data lakes and analytics platforms.
Strong SQL and Python development skills.
Experience with dashboard and visualization technologies such as Power BI.
Experience integrating cybersecurity and risk management datasets.
Understanding of security operations, security controls, vulnerability management, IAM, and cloud security.
Financial services or banking experience.
Experience implementing OCSF or other security telemetry standards.
Exposure to SIEM platform Splunk.
Exposure management or cyber performance management platforms.
Experience with machine learning, AI-assisted analytics, and risk scoring.

Skills

AWS Security Lake
Amazon S3
AWS Glue
Athena
Lambda
Redshift
Kinesis
CloudWatch
SQL
Python
Power BI
Terraform
Splunk
Machine learning
AI-assisted analytics
Risk scoring
Data engineering
Analytics engineering
Cloud platform engineering
Data lakes
Analytics platforms
Cybersecurity
Risk management
Security operations
Security controls
Vulnerability management
IAM
Cloud security
OCSF
Exposure management
Cyber performance management

Location

London

Work Type

Onsite
Hybrid

Experience Level

Vice President
7+ years of experience
3+ years of experience

Benefits

25 holiday days and 3 ‘life days’ (in addition to bank holidays) for UK/Asia
23 holiday days for US
2 paid volunteer days
Generous parental leave policies
Parental transition coaching programmes and support services
Wellbeing and mental health support resources
Employee Networks
Hybrid working
Flexible working
Monthly ‘Heads Down Days’ with no meetings
Generous non-contributory pension provision for UK/Asia employees
401K match from CLS for US employees
Private medical insurance
Dental coverage
Social events
Annual flu vaccinations
Discounts and savings and cashback across a wide range of categories including health and retail for UK employees
Discounted Gym membership – Complete Body Gym Discount/Sweat equity program for US employees
Discover – our comprehensive learning platform with 1000+ courses from LinkedIn Learning
Access to frequent development sessions

About the Company

CLS is the trusted party at the centre of the global FX ecosystem. Utilized by thousands of counterparties, CLS makes FX safer, smoother and more cost effective. Trillions of dollars’ worth of currency flows through our systems each day.
Created by the market for the market, our unrivalled global settlement infrastructure reduces systemic risk and provides standardization for participants in many of the world’s most actively traded currencies. We deliver huge efficiencies and savings for our clients: in fact, our approach to multilateral netting shrinks funding requirements by over 96% on average, so clients can put their capital and resources to better use.
CLS products are designed to enable clients to manage risk most effectively across the full FX lifecycle – whether through more efficient processing tools or market intelligence derived from the largest single source of FX executed data available to the market.
Our ambition to make a positive difference starts with our people. Our values underpin everything that we do at CLS and define our working environment: Pivotal purpose, Trusted guardian, Targeted innovation, Facilitate connections, Delivering excellence, Inclusive culture.

Equal Opportunity

At CLS, we celebrate inclusion and consider this to be one of our strongest assets. We are committed to fostering an environment in which everyone feels comfortable to be who they are, and inclusion is valued.