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- Tasks: Lead data-driven projects, transforming insights into impactful business decisions.
- Company: Fractal, a strategic AI partner for Fortune 500 companies, fostering imagination and intelligence.
- Benefits: Competitive salary, recognition as a great workplace, and opportunities for professional growth.
- Why this job: Join a dynamic team to influence decision-making in the financial services sector.
- Qualifications: Experience in banking analytics, strong coding skills in Python and SQL required.
- Other info: Collaborative environment with a focus on innovation and career advancement.
The predicted salary is between 43200 - 72000 £ per year.
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.
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.
Roles and Responsibilities- 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), and 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.
Senior Consultant employer: Fractal
Contact Detail:
Fractal Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Consultant
✨Tip Number 1
Network like a pro! Reach out to people in your industry, especially those at Fractal or similar companies. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Prepare for the interview by practising your storytelling skills. You want to showcase how your experience aligns with the role of a Senior Consultant. Use real examples to demonstrate your analytical prowess and how you've driven results in past projects.
✨Tip Number 3
Show off your technical skills! Be ready to discuss your hands-on experience with Python, SQL, and data analytics. Maybe even bring a portfolio of your work to the interview to really impress them.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're genuinely interested in being part of the Fractal team.
We think you need these skills to ace Senior Consultant
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Senior Consultant. Highlight your experience in Financial Services and any hands-on technical skills you have, like Python and SQL. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data-driven decision-making and how you can empower imagination with intelligence. Keep it engaging and relevant to the role.
Showcase Your Projects: If you've led analytical projects before, don’t hold back! Share specific examples of your work, especially those that involved data mining and stakeholder presentations. We love seeing how you’ve made an impact in previous roles.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Fractal
✨Know Your Data Inside Out
Make sure you’re well-versed in the data analytics tools and techniques mentioned in the job description. Brush up on your Python, SQL, and Pyspark skills, and be ready to discuss how you've used them in past projects. Being able to demonstrate your hands-on experience will show that you can hit the ground running.
✨Understand Financial Services Fundamentals
Since this role is heavily focused on the banking domain, take some time to review key concepts related to banking profitability, revenue drivers, and commercial metrics. Be prepared to discuss how these elements influence decision-making and how you’ve applied this knowledge in previous roles.
✨Prepare for Data-Driven Storytelling
Fractal values the ability to translate complex data into actionable insights. Think of examples where you’ve successfully communicated analytical findings to stakeholders. Practise presenting these insights clearly and confidently, as storytelling is crucial in influencing decision-making.
✨Showcase Your Project Management Skills
This role requires strong project management capabilities, so come prepared with examples of how you’ve led analytical projects from start to finish. Highlight your ability to manage timelines, deliverables, and stakeholder expectations, especially in fast-paced environments. This will demonstrate your readiness to take ownership of projects.
