Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Senior Business & Data Analyst

NextWave Consulting Ltd
9 months ago
Applications closed

Related Jobs

View all jobs

Senior Business & Data Analyst

Senior Data Analyst

Senior Data Analyst

Commercial BI Data Analyst Business Partner. Global Leader., RECRUITMENTREVOLUTION.COM

Wholesale Credit Risk Product & Data Analyst – VP – Belfast

Data Analyst Apprenticeship

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.

Seasonal Hiring Peaks for Machine Learning Jobs: The Best Months to Apply & Why

The UK's machine learning sector has evolved into one of Europe's most intellectually stimulating and financially rewarding technology markets, with roles spanning from junior ML engineers to principal machine learning scientists and heads of artificial intelligence research. With machine learning positions commanding salaries from £32,000 for graduate ML engineers to £160,000+ for senior principal scientists, understanding when organisations actively recruit can dramatically accelerate your career progression in this pioneering and rapidly evolving field. Unlike traditional software engineering roles, machine learning hiring follows distinct patterns influenced by AI research cycles, model development timelines, and algorithmic innovation schedules. The sector's unique combination of mathematical rigour, computational complexity, and real-world application requirements creates predictable hiring windows that strategic professionals can leverage to advance their careers in developing tomorrow's intelligent systems. This comprehensive guide explores the optimal timing for machine learning job applications in the UK, examining how enterprise AI strategies, academic research cycles, and deep learning initiatives influence recruitment patterns, and why strategic timing can determine whether you join a groundbreaking AI research team or miss the opportunity to develop the next generation of machine learning algorithms.

Pre-Employment Checks for Machine Learning Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in machine learning reflects the discipline's unique position at the intersection of artificial intelligence research, algorithmic decision-making, and transformative business automation. Machine learning professionals often have privileged access to proprietary datasets, cutting-edge algorithms, and strategic AI systems that form the foundation of organizational competitive advantage and automated decision-making capabilities. The machine learning industry operates within complex regulatory frameworks spanning AI governance directives, algorithmic accountability requirements, and emerging ML ethics regulations. Machine learning specialists must demonstrate not only technical competence in model development and deployment but also deep understanding of algorithmic fairness, AI safety principles, and the societal implications of automated decision-making at scale. Modern machine learning roles frequently involve developing systems that impact hiring decisions, financial services, healthcare diagnostics, and autonomous operations across multiple regulatory jurisdictions and ethical frameworks simultaneously. The combination of algorithmic influence, predictive capabilities, and automated decision-making authority makes thorough candidate verification essential for maintaining compliance, fairness, and public trust in AI-powered systems.

Why Now Is the Perfect Time to Launch Your Career in Machine Learning: The UK's Intelligence Revolution

The United Kingdom stands at the epicentre of a machine learning revolution that's fundamentally transforming how we solve problems, deliver services, and unlock insights from data at unprecedented scale. From the AI-powered diagnostic systems revolutionising healthcare in Manchester to the algorithmic trading platforms driving London's financial markets, Britain's embrace of intelligent systems has created an extraordinary demand for skilled machine learning professionals that dramatically exceeds the current talent supply. If you've been seeking a career at the forefront of technological innovation or looking to position yourself in one of the most impactful sectors of the digital economy, machine learning represents an exceptional opportunity. The convergence of abundant data availability, computational power accessibility, advanced algorithmic development, and enterprise AI adoption has created perfect conditions for machine learning career success.