Senior Business & Data Analyst

NextWave Consulting Ltd
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Business Data Analyst

Business Data Analyst

Business Data Analyst

Senior Data Analyst

Funds Technology – Data Analyst Manager Assistant Manager Senior Consultant

Junior Data Analyst

About NextWave

 
NextWave is an award-winning Digital Acceleration Consultancy for Financial Services with a particular focus on rapidly driving business outcomes and modernising Financial Institutions through technology. Clients come to NextWave because they have key integration, business growth, efficiency and control objectives and seek a more future-focused alternative to the big-name consultancies. Strategy, Innovation, Complex Transformation, FinTech Solutioning and Social Enterprise are at the heart of what we do.
By combining deep industry expertise with the innovative deployment of business solutions built on market-leading technology, we enable clients to realise business outcomes better, faster and safer. We help our clients to define their strategies and partner with them to execute, often deploying fintech and low-code solutions which can typically be delivered 5x faster than traditional approaches, resulting in processes automated from weeks to minutes and data decision accuracy improvements of up to 90%.
The NextWave team comprises high-calibre Financial Services industry change leaders, including ex-MDs from top-tier firms and new talent. We are the consulting partner of choice for leading FinTechs, Banking, Asset & Wealth Management, Insurance, and Market Infrastructure clients.


Responsibilities
  • Working on a diverse range of projects in the Risk, Regulatory and Finance areas within Investment Banking, Asset and Wealth Management.
  • Working with our clients to understand their business challenges and to solve these through effective business outcomes
  • Working with diverse and virtual technical delivery teams to provide an analytical understanding of business problems and issues as related to the change agenda.
  • Using your experience in Agile methodologies, user stories and process optimisation to work closely with the business and technical teams to develop and deliver efficient and creative solutions.
  • Coordinating sprints, deployments and preparation for and participation in releases.
  • Acting as an analytical leader and business expert within change delivery teams.
  • Working with our clients to understand their business challenges and problems - undertaking requirements gathering, client interviewing, documentation of processes and process assessment, and effectively communicating these to various audiences
  • Designing and proposing potential solutions identifying various pros, cons and risks
  • Building and executing project plans co-ordinating status, issues, risks and providing clarity to everyone involved of their responsibilities to effectively deliver successful business outcomes under an Agile framework
  • Constructing and defining test scenarios and test data to ensure requirements are completely and accurately implementing
  • Implementation and post-go live support to ensure success of the developed solutions
  • Contributing to our internally built offerings as we build a collection of best-in-class solutions
  • Working effectively in diverse teams within an inclusive team culture where people are recognised for their contribution
  • Actively get involved in the new consulting community

Candidate Profile
  • Previous experience as a Business Analyst in the Financial sector ideally in the Finance, Risk or Regulatory reporting areas of an Investment   Bank.
  • Experience of using Agile, process optimisation and LEAN methodologies.
  • Experience working in Agile teams, defining user stories and working with Product Owners or as a Product Owner.
  • Ability to influence, debate, interact and communicate, across all mediums, with senior business leaders as well as technical teams.
  • Business Analysts that have a strong awareness of data, proficient in data analysis and the complexities within financial services of data ownership and lineage issues.
  • Demonstrated ability to manipulate, integrate and visualise complex data sets to elicit underlying meaning and communicate a message using tooling such as SQL and Python
  • Previous experience working in Financial Services and in-depth knowledge of  investment  banking products and lifecycle
  • At least 3 years, experience working in a business analyst role preferably in Risk, Finance or Regulatory reporting roles.
  • Proven ability using complex analytical, interpretive and problem-solving skills and techniques, to synthesize and present complex information to stakeholders of various levels.
  • Stakeholder management across multiple geographies and functions and demonstrated ability to build a strong collaborative working relationships.
  • Extensive experience and a solid understanding of process mapping and system tools to create processes.
  • Proficient in the use of Alteryx technology

Benefits
  • Competitive salary
  • Agile/ Flexible working
  • Professional training and accreditation
  • Central London location
All of our opportunities require that applicants are eligible to work in the specified country/location, unless otherwise stated in the job description.

Our commitment to you:

We will provide mentoring, training and guidance (technical skills, soft skills and Finance business skills) from our leadership team who have many years of practical experience delivering business outcomes in the Finance arena.


Work pattern:

This is a permanent role with a potential for flexibility for agile ways of working, both formal and informal, that allow for the best outcomes for our people and our clients.


What we do:

We provide Consulting expertise and delivery services with a focus on a select group of progressive technology platforms which are helping to change the FS Industry.

The evolution of today’s digital business landscape requires firms to reinvent to stay relevant and succeed in the new market, at a pace not seen before. Opportunities and threats are emerging from traditional and non-traditional sectors, driving new strategies across the dimensions of clients, competition, data, innovation and value. A new stack of FinTech platform technologies are enabling firms to reinvent their value proposition to collaborate and compete on customer experience, data insights, operational resilience and time to market.


Team:

Our leadership has a unique blend of big-brand consultancy, start-up and enterprise delivery and commercial experience (including 2 successful boutique firm growth & exits and a major technology consulting scale-up), across the business and technology sectors at some of the world’s largest banks, asset managers and fintechs. We are experienced consultants and technologists who have grown up with the FS industry from the pre-internet era into the digital and data driven revolution.

We are next generation technologists and engineers who are passionate about working with the leading platforms in the new stack. We are all about delivery - for our clients, our partners and our people.


What To Expect from Our Recruitment Process:

We believe in putting in the effort to find the people who will share our success. We strive to select the right people for each role based on evidence. If you think you have what it takes to help us remain at the top of our game, then apply now by clicking on apply!


Location:

You will be based in the NextWave London office; 100 Bishopsgate, however travel may be required for client based projects and some projects will be located fully at client office locations - usually in the City of London or Canary Wharf.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Write a Machine Learning Job Ad That Attracts the Right People

Machine learning now sits at the heart of many UK organisations, powering everything from recommendation engines and fraud detection to forecasting, automation and decision support. As adoption grows, so does demand for skilled machine learning professionals. Yet many employers struggle to attract the right candidates. Machine learning job adverts often generate high volumes of applications, but few applicants have the blend of modelling skill, engineering awareness and real-world experience the role actually requires. Meanwhile, strong machine learning engineers and scientists quietly avoid adverts that feel vague, inflated or confused. In most cases, the issue is not the talent market — it is the job advert itself. Machine learning professionals are analytical, technically rigorous and highly selective. A poorly written job ad signals unclear expectations and low ML maturity. A well-written one signals credibility, focus and a serious approach to applied machine learning. This guide explains how to write a machine learning job ad that attracts the right people, improves applicant quality and strengthens your employer brand.

Maths for Machine Learning Jobs: The Only Topics You Actually Need (& How to Learn Them)

Machine learning job adverts in the UK love vague phrases like “strong maths” or “solid fundamentals”. That can make the whole field feel gatekept especially if you are a career changer or a student who has not touched maths since A level. Here is the practical truth. For most roles on MachineLearningJobs.co.uk such as Machine Learning Engineer, Applied Scientist, Data Scientist, NLP Engineer, Computer Vision Engineer or MLOps Engineer with modelling responsibilities the maths you actually use is concentrated in four areas: Linear algebra essentials (vectors, matrices, projections, PCA intuition) Probability & statistics (uncertainty, metrics, sampling, base rates) Calculus essentials (derivatives, chain rule, gradients, backprop intuition) Basic optimisation (loss functions, gradient descent, regularisation, tuning) If you can do those four things well you can build models, debug training, evaluate properly, explain trade-offs & sound credible in interviews. This guide gives you a clear scope plus a six-week learning plan, portfolio projects & resources so you can learn with momentum rather than drowning in theory.

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.