Real-time Analytics and Data Science Lead
7 months ago
About the Opportunity
Job Type: PermanentApplication Deadline: 20 June 2024Title Real-time Data Analytics & Data Science Lead
Department GPS
Location UK / India
Reports To
Level 6
We’re proud to have been helping our clients build better financial futures for over 50 years. How have we achieved this? By working together - and supporting each other - all over the world. So, join our [insert name of team/ business area] team and feel like you’re part of something bigger.
Our clients come from all walks of life and so do we. We are proud of our inclusive culture and encourage applications from the widest mix of talent, whatever your age, gender, ethnicity, sexual orientation, gender identity, social background and more.
As a flexible employer, we trust our people to perform their role in the way that works best for them, our clients and our business. We are a disability-friendly company and would welcome a conversation with you if you feel you might benefit from any reasonable adjustments to perform to the best of your ability during the recruitment process and beyond.
About your team
The Raptor Data Analytics Team is part of the newly formed Global Platforms Business (GPS). GPS is responsible for servicing the needs of Fidelity’s end investors, This includes our personal investing, workplace investing, stock plan services and adviser platforms.
The team is currently working on the development of a real-time analytics platform called Raptor which supports a number of alerting applications associated with financial crime and other use-cases.
About your role
As a Real-time Data Analytics & Data Science Lead you will be responsible for architecting, implementing and deploying multi-scale data analytics platform solutions as well as building and mentoring high-performing analytics engineering teams. You will work with cloud technologies, developing and overseeing analytics systems and processes.
Key Responsibilities
Lead, facilitate and coordinate execution of the analytics team’s technical vision, collaborating with other areas and centralised governance where appropriate Define, create and provide oversight and governance of analytics and machine learning solutions with a focus on innovation, resilience, performance, scalability and simplicity Develop and champion advanced analytics and machine learning principles and processes at domain and enterprise levels, identifying opportunities for transformational improvement Hands-on design and technical implementation of analytics solutions across a number of concurrent technical implementationsAbout you
Experience
Significant experience leading analytics application and data science teams supporting multiple analytics components Experience in real-time analytics design and implementation Experience in business rules engine (BRE) / layer design and implementation 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 thinkingTechnical 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 Data mining, sequencing, analytics metrics, segments and aggregatesProgramming
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 specification using Swagger / OpenAPBehavioural
Strong team player Ability to foster, develop & maintain working relationships with business stakeholders and technology teams Self-motivation and management are essential Flexibility and an open attitude to changeFeel rewarded
For starters, we’ll offer you a comprehensive benefits package. We’ll value your wellbeing and support your development. And we’ll be as flexible as we can about where and when you work – finding a balance that works for all of us. It’s all part of our commitment to making you feel motivated by the work you do and happy to be part of our team.
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