Head of Analytics

Job Description

Lead Analytics Developer
London
Up to £85k basic + (All up to – 25% bonus, 30-Days Holiday, 16% Pension, Full Family Health, Etc)

This role is for a Senior/Lead Engineer to implement and deploy multi-scale data analytics platform solutions as part of a high-performing analytics engineering team. You will work with cloud technologies, developing and overseeing analytics systems and processes.

My client is a Global Investment Manager with Trillions under management and undergoing a billion-dollar company-wide transformation.

Key Responsibilities & Requirements

Extensive experience leading platform analytics/team with orchestrated multiple analytics components.
Experience in business rules engine (BRE) / layer design and implementation

Experience in real-time analytics design and implementation.
Deep understanding of both real-time processing and asynchronous analytics systems
Real-Time Analytics: Expertise in designing and implementing real-time analytics solutions.
Processing Systems: Deep understanding of both real-time processing and asynchronous analytics systems.

Experience in statistical sequence mining and analysis methods
Experience in distributed machine learning systems design and deployment
Understanding of distributed domain driven architecture and product thinking

Technical Skills

Architecture & Design

Enterprise Architecture and good knowledge of object-oriented programming and design patterns
AWS services: API gateway, Lambda, SNS, SQS, DynamoDB, Kinesis, EC2, Athena, Elastic Beanstalk
REST API Design and specification using Swagger / OpenAPI

Programming

Experience of both functional programming and object-orientated programming
Excellent programming skills in R and Python
Experience designing and building R / Python-based REST APIs, and API specifications using Swagger / OpenAP
Functional programming and object-orientated programming
AWS services (including Kinesis, ECR, Lambdas, SageMaker and DynamoDb) or other cloud services

Sound understanding of risk and risk mitigation design in relevant areas, including (but not limited to) fraud, financial crime, anti-money laundering, transaction monitoring and suspicious activity reporting will be a major advantage but not necessary!