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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 major decisions in the financial services sector.
- Qualifications: Strong technical skills in Python, SQL, and banking analytics required.
- Other info: Fast-paced environment with a focus on collaboration and innovation.
The predicted salary is between 54000 - 84000 £ 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.
Technical Requirements
- 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.
Non-technical skills
- 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 in London employer: Fractal
Contact Detail:
Fractal Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Consultant in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend relevant events, and don’t be shy about asking for introductions. We all know that sometimes it’s not just what you know, but who you know that can help you land that Senior Consultant role.
✨Tip Number 2
Prepare for those interviews by practising your storytelling skills. You’ll want to showcase your experience with data-driven projects and how you’ve influenced decision-making in the past. We recommend using the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Tip Number 3
Don’t forget to research Fractal thoroughly! Understand their vision and values, and think about how your skills in financial services and analytics align with their goals. This will show them you’re genuinely interested and ready to contribute to their mission.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to engage directly with us. Let’s make your dream job a reality!
We think you need these skills to ace Senior Consultant in London
Some tips for your application 🫡
Show Your Passion for Data: When you're writing your application, let your enthusiasm for data and analytics shine through. We want to see how you’ve used data to drive decisions in the past and how that aligns with our mission at Fractal.
Tailor Your Experience: Make sure to highlight your relevant experience in Financial Services and banking. We’re looking for someone who can hit the ground running, so connect your past roles to the responsibilities listed in the job description.
Be Clear and Concise: Keep your application straightforward and to the point. Use bullet points where possible to make it easy for us to see your key achievements and skills. Remember, clarity is key when presenting complex information!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
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 talk confidently about 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 sector, it’s crucial to have a solid grasp of financial services fundamentals. Familiarise yourself with key metrics and concepts related to banking profitability, revenue, and cost drivers. This knowledge will help you demonstrate your expertise and relevance to the role.
✨Prepare for Data-Driven Storytelling
Fractal values the ability to translate complex data into actionable insights. Prepare examples of how you’ve presented data findings to stakeholders in the past. Think about how you can weave a narrative around your data analysis that highlights its impact on business decisions—this will set you apart from other candidates.
✨Showcase Your Project Management Skills
This role requires strong project management capabilities, so be ready to discuss how you’ve managed analytical projects from start to finish. Highlight your ability to deliver results under tight timelines and how you’ve collaborated with teams to achieve common goals. This will demonstrate your readiness to take ownership of projects at Fractal.
