We look for sharp minds who think critically, adapt quickly and solve problems

Overview

The Platform Whiz focuses on engineering robust, scalable environments. They think in systems, pipelines, and architecture, ensuring that analytics, reporting, and AI are built on solid foundations.

Typical skills and strengths

• Data engineering and ETL/ELT pipeline design
• Cloud-native data platforms and architectures
• SQL, Python, Spark, and distributed data technologies
• Performance optimisation and scalability
• Collaboration with analytics, business, and risk teams
• SAP specialist

Common backgrounds

• Data engineers
• Cloud specialists
• Solution architects

Overview

The Process Optimiser specialises in understanding how organisations operate end-to-end. They are methodical, structured, and focused on designing efficient, well-governed processes that align people, data, and technology.

Typical skills and strengths

• Business process mapping and optimisation
• Operating model design
• Requirements gathering and documentation
• Process controls and governance
• Change impact analysis
• Translating regulatory or strategic intent into executable processes

Common backgrounds

• Process engineers
• Business process engineers
• Business analysts
• Solution architects

Overview

This profile represents Monocle’s mathematically inclined thinkers. They are comfortable working in ambiguity, enjoy intellectual depth, and bring precision to risk, capital, pricing, and forecasting challenges.

Typical skills and strengths

• Strong mathematical, statistical, or econometric foundations
• Quantitative modelling and validation
• Risk analytics (credit, market, liquidity, insurance risk)
• Programming for analysis (e.g. Python, R, SQL, SAS)
• Model governance and documentation
• Ability to explain complex quantitative concepts to non-technical audiences

Common backgrounds

• Quantitative analysts
• Model risk specialists
• Data scientists in financial services

Overview

This profile blends strong software engineering discipline with applied AI, machine learning and advanced analytics capability. They are focused on building intelligent, production-grade systems that automate processes, support better decision-making and turn complex data into practical business outcomes. They are not only interested in developing models, but in embedding AI into real-world solutions - ensuring that intelligent systems are scalable, secure, explainable and aligned to business needs.

Typical skills and strengths

• Software engineering principles and design patterns
• Applied AI and machine learning model development
• Generative AI, automation and intelligent decisioning
• API development and system integration
• MLOps, model deployment and AI lifecycle management
• Prompt engineering and AI solution design
• Version control, testing and CI/CD practices
• Translating business problems into AI-enabled technical solutions
• Understanding governance, explainability and responsible AI principles

Common backgrounds

• Software engineers
• AI engineers
• Machine learning specialists
• Advanced data scientists
• Automation specialists
• Solution developers

Overview

The Delivery Agent thrives in complexity and scale. They are accountable for outcomes, comfortable leading large teams, and skilled at navigating stakeholders, risks, and delivery trade-offs in major transformation programmes.

Typical skills and strengths

• Large-scale programme and project management
• Team leadership across multi-disciplinary squads
• Delivery governance and reporting
• Risk, issue, and dependency management
• Senior stakeholder and client management
• Coaching and developing junior consultants
• Agile project management

Common backgrounds

• Senior management consultants
• Project managers
• Programme leads

Overview

The Data Detective works at the intersection of data quality, business understanding and analytical insight. They are skilled at interpreting data, identifying patterns, validating accuracy and supporting the movement of data across systems. This profile is especially valuable in transformation environments where organisations need confidence that their data is complete, accurate, well-understood and ready for reporting, migration, analytics or decision-making.

Typical skills and strengths

• Data analysis and interpretation
• Data profiling, cleansing and validation
• Data migration support and reconciliation
• SQL and database querying
• Reporting and dashboard development
• Requirements gathering for data and reporting needs
• Translating business questions into analytical outputs
• Data quality, lineage, and governance concepts

Common backgrounds

• Data analysts
• Migration analysts
• Reporting analysts
• Business intelligence analysts
• Junior data engineers
• Business analysts with strong data experience

Overview

The Insight Translator bridges the gap between technical teams and business decision-makers. They excel at extracting meaning from data and ensuring that insights are actionable, relevant, and clearly communicated.

Typical skills and strengths

• Data analysis and visualisation
• Business intelligence and reporting
• Translating analytical outputs into business narratives
• Requirements definition for data and analytics solutions
• Strong communication and storytelling skills
• Commercial and strategic awareness

Common backgrounds

• Data analysts
• Business analysts
• Business intelligence specialist
• Analytics consultants

Overview

The Financial Services Change-Maker is grounded in the mechanics of banking and insurance but thinks beyond pure regulation or compliance. They are commercially astute, analytically rigorous, and comfortable advising senior stakeholders on complex industry challenges.

Typical skills and strengths

• Deep understanding of banking and/or insurance business models
• Regulatory and prudential knowledge (e.g. capital, liquidity, solvency, reporting)
• Strong appreciation for risk mitigation in financial services
• Financial analysis and interpretation
• Stakeholder engagement at executive and board level
• Translating regulatory requirements into practical operating models
• Structured problem-solving and hypothesis-driven thinking

Common backgrounds

• Banking business analyst
• Insurance business analyst
• Management consultants