Trade Nation

Head of Data & AI

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C-Level / ManagerZdalnieFull-time

#454505·Dodano 14 dni temu·4

Źródło: Trade Nation

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Tech Stack / Keywords

SQLdbtRedshift Snowflake BigQuery

Firma i stanowisko

Trade Nation is a multi-jurisdictional CFD and spread betting broker with regulated entities across the UK, Australia, the EU, the Bahamas, and Seychelles. They focus on providing low-cost trading services powered by technology with teams distributed globally.

Wymagania

Proven leadership experience within Data, Analytics, or AI functions
Demonstrable success implementing AI solutions that have transformed business workflows and delivered measurable impact
Strong track record of delivering projects from concept through to production and adoption
Hands-on expertise in SQL, data modelling, and analytics engineering
Experience with dbt or similar version-controlled transformation frameworks
Strong understanding of data warehouse architecture and semantic modelling
Experience working with Redshift, Snowflake, BigQuery, or similar cloud data platforms
Background in financial services, trading, brokerage, or capital markets
Experience leading, coaching, and developing analytics teams
Excellent stakeholder management and communication skills with both technical and non-technical audiences

Nice to have:

Experience with CFD, spread betting, or brokerage platforms
Knowledge of trading systems and back-office financial services data structures
Experience in multi-entity, multi-regulator environments
Exposure to regulatory reporting frameworks such as MiFID II, MiFIR, or ASIC requirements
Experience implementing AI solutions within regulated financial services environments

Obowiązki

Own and drive Trade Nation's AI strategy from opportunity identification through to deployment, adoption, and value realisation
Redesign business workflows around AI, focusing on practical outcomes rather than tool adoption
Build AI capability through training, prompt libraries, templates, and a network of AI champions
Measure and report AI adoption, success metrics, and lessons learned
Own the business-facing gold layer of the data warehouse, including metrics, definitions, and quality standards
Develop and extend the semantic data model to ensure consistent, trusted access to business data
Champion data self-service, empowering teams to answer their own questions efficiently
Establish and maintain best practices for analytics engineering, including testing, version control, documentation, and code reviews
Simplify and improve the quality of the data estate
Deliver proactive insights and recommendations to senior leadership

Benefity

Competitive salary, and discretionary annual bonus
Private healthcare
Active Lifestyle allowance
Annual leave above minimum entitlement
Up to 3 weeks allowance to work in any location

Premie

Opieka zdrowotna

Karta sportowa

Płatny urlop

Elastyczne godziny

Trade Nation

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