Senior Consultant

Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence.

Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner.

Brief: We are seeking a highly driven senior consultant/analyst with strong hands-on technical expertise and solid Financial Services and banking domain experience. This role requires end-to-end ownership of data-driven initiatives, from data extraction through advanced analytics, insight generation, and stakeholder presentation. The successful candidate will operate at pace, influence decision-making, and translate data into actionable commercial outcomes—driving increased wallet share, growing market share, and designing and delivering intuitive self-serve dashboards for business users.

• Lead and manage end-to-end analytical projects, including brainstorming, solution design, analytical approach, scoping, timelines, delivery, and transition based on business and client requirements
• Perform advanced data mining, manipulation, and transformation using internal and external data sources
• Conduct reconciliation, data validation, and quality checks as standard practice using appropriate internal and external data sources
• Identify and define key data points and metrics required to support analytical objectives
• Deliver customer profiling, segmentation, and conversion analysis to support marketing and commercial initiatives
• Design, execute, and evaluate marketing campaigns, including:
  • Target audience selection
  • Testing frameworks (A/B, multivariate testing)
  • Measurement of results with statistical significance
• Develop business reporting and data visualisations to clearly communicate insights and performance
• Apply predictive, performance, and profitability analytics to support business cases and decision-making
• Demonstrate understanding of banking profitability, including revenue, cost drivers, and value measurement
• Support debit payments and current account analytics (UK Financial Services context preferred)
• Drive optimisation and automation of data pipelines, reports, and analytical processes
• Present insights confidently to senior stakeholders and support decision-making through data-driven storytelling

• Solid understanding of Financial Services fundamentals, Banking analytics and commercial metrics- mandatory
• Hands on coding experience Python, SQL, Pyspark- mandatory
• Strong expertise in SQL-based analytics and complex querying
• Expertise in predictive, performance, and modelling techniques
• Experience with data mining, manipulation, and large-scale datasets
• Knowledge of cloud concepts on GCP for data retrieval and data movement – good to have
• BI and Tableau skills – good to have

• Confident and articulate communicator with strong presentation and stakeholder management skills
• Ability to translate complex analytical outputs into clear business insights
• Strong project management capability with the ability to deliver at pace in dynamic environments
• Commercial mindset with a focus on value creation and business outcomes
• Highly organised, proactive, and comfortable managing multiple priorities
• Collaborative team player with a consultancy-oriented approach to problem solving