Manager, Analytics and Modelling, Financial Services, Audit

Datatech Analytics
December 8, 2021
London, United Kingdom
Job Type
Job Ref


J11887 - Manager, Analytics and Modelling, Financial Services, Audit and Assurance - London - Competitive Salary

We have an opportunity for you to join a market-leading team within a global integrated professional services company. You will work on cutting edge projects where no two days are the same, accelerating your learning and allowing you to progress more quickly. You will partner with world-renowned clients, helping them to optimize the power of their data and models to solve their most complex business challenges. The successful candidate will have responsibility for delivery across a range of analytics and modelling offerings within financial services.

• Ownership of a portfolio of Audit and Assurance clients, reporting to the analytics and modelling team leadership;
• Project management of engagements; managing team members, ownership of deliverables and timelines, leading client interaction and stakeholder management;
• Managing teams within the wider analytics and modelling group, including developing the skills and confidence of junior staff and acting as a role model to inspire and mentor junior resources, and attract new talent to the team;
• Providing analytics and modelling services through the use of software such as SQL, Python, Tableau, SAS, Power BI, Alteryx, R and VBA to deliver meaningful insights to clients and help them to understand the risks and key drivers for their business;
• Working with clients to provide analytics and modelling assurance services including model testing, challenger model development, model risk governance framework design, data analysis and quality reviews, report generation and visualization;
• Working with audit teams to integrate analytics more deeply into the external audit approach, and with clients to embed analytics into their business and culture;
• Development and delivery of new and innovative analytics tools to support evolving audit and regulatory requirements within the changing financial services environment;
• Contributing to the team's and thought leadership and strategy in Audit & Assurance analytics and volunteering to promote certain initiatives;
• Building and developing long-term relationships with stakeholders across client organisations;

Skills and Experiences
• At least a Bachelor's degree, preferably in a quantitative field such as mathematics, physics, statistics, computer science or engineering;
• Significant experience of working in an analytics or modelling team in the financial services industry either within a professional services or FTSE 350 firm
• Ability to work in a dynamic environment, with experience of managing and delivering concurrent projects;
• An eye for detail and a structured and thorough approach to delivering high quality output, including experience of code, output and documentation review;
• Advanced technical experience with programming languages such as Python, SQL, VBA, Tableau, Power BI, Alteryx, R, SAS;
• Ability to build and develop strong client relationships;
• Excellent oral and written communication skills
• Holding or working towards a professional qualification (e.g. CQF, FRM, CFA, ACCA, ACA, CISA);
• Sound knowledge of one or more asset classes within investment, corporate, commercial or retail banking;
• Experience of managing teams and developing junior staff;
• Strong understanding of the regulatory environment;
• Knowledge of current economic and market trends;
• Experience in the use of MS Azure, AWS or other cloud platforms;

If this sounds like the role for you then please apply today!

Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.

Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data. For more information, visit our website:

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