Lead the development and delivery of the operational plan for the quantitative development function
Oversee the design, testing and deployment of complex forecasting and analytical models, ensuring models meet evolving regulatory and policy expectations
Champion technical excellence and continuous improvement in modelling practices
Define and embed modelling standards, processes and governance frameworks as we approach 10/20 models in production over the coming years
Coach and develop both managers and senior technical contributors to build capability and resilience
Support the Head of Analytics and Process Manager in shaping the long-term development roadmap
Form part of the leadership team of the Analytics team within LCCC, improving team engagement and ways of working
Collaborate with a wide range of internal and external stakeholders including policy, legal, operations, external regulators and DESNZ; ensuring models are robust, transparent and aligned to business needs
Act as a key liaison between the quantitative development function and senior stakeholders across the organisation
Represent the quantitative development function through internal knowledge sharing forums and industry events

Requirements

A good first degree or higher degree in a highly numerate subject is essential
Extensive experience in quantitative modelling or data science leadership
Proven experience managing managers or leading large technical teams
Strong technical background in Python, Spark and statistical modelling
Solid understanding of object-oriented software engineering design principles for usability, maintainability and extensibility
Solid understanding of data structures and algorithms
Demonstrated ability to influence at senior leadership level
Experience with cloud platforms (Azure, AWS or GCP) desirable
Excellent communication skills, with the ability to engage technical and non-technical audiences and communicate complex ideas in simplified terms
Strong stakeholder engagement skills, including cross-functional collaboration

Benefits

Annual performance based bonus, up to 10%
25 days annual leave, plus eight bank holidays
Up to 8% pension contribution
Financial support and time off for study relevant to your role, plus a professional membership subscription
Employee referral scheme (up to £1500), and colleague recognition scheme
Family friendly policies, including enhanced maternity leave and shared parental leave
Free, confidential employee assistance, including financial management, family care, mental health, and on-call GP service
Three paid volunteering days a year
Season ticket loan and cycle to work schemes
Family savings on days out and English Heritage, gym discounts, cash back and discounts at selected retailers
Employee resource groups

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

quantitative modellingdata science leadershipPythonSparkstatistical modellingobject-oriented software engineeringdata structuresalgorithms

Soft Skills

coachingteam engagementstakeholder engagementcross-functional collaborationcommunication