{ “@context”: “http://schema.org”, “@type”: “JobPosting”, “title”: “Associate Director, BCM Specialist Modelling, Financial Services, Audit & Assurance”, “description”: “
The BCM Specialist Modelling team within Deloitte's Audit & Assurance practice is a rapidly evolving team providing specialist analytics services to banking and capital market clients. The team caters to a range of data solutions including modelling, model reviews, data assurance, profiling and visualisations.
You will be an integral part of a market-leading team, collaborating with international colleagues to deliver analytical solutions to a broad spectrum of clients, from leading UK financial institutions to emerging FinTech companies.
Responsibilities
- Own a portfolio of Audit and Assurance clients.
- Provide direction and oversight to teams, and sign off deliverables.
- Liaise with senior stakeholders across the firm and at the client.
- Collaborate with senior leadership to translate strategic objectives into actionable plans and own effective execution.
- Oversee and guide engagements, managing senior team members, deliverables, timelines and client interactions.
- Conduct performance reviews, give constructive feedback and support career development of staff.
- Lead teams in delivering analytics and modelling services using SQL, Python, Tableau, and VBA to provide insights to clients.
- Lead advanced analytics and modelling services, including model testing, data analysis, quality reviews, report generation and visualisation across trading and banking books.
- Integrate analytics more deeply into the external audit approach and embed analytics into clients’ business and culture.
- Develop and deliver innovative analytics tools to meet evolving audit and regulatory requirements.
- Contribute to Audit & Assurance analytics thought leadership and strategy, and promote initiatives.
- Lead go‑to‑market initiatives, including proposal development and client pitches.
- Build and develop long‑term relationships with client stakeholders.
Essential Qualifications
- PhD, Master’s, or Bachelor’s degree (or equivalent) in a quantitative discipline such as Mathematics, Physics, Statistics, Computer Science, Accounting, Finance or Engineering.
- Demonstrable experience within an analytics or modelling team in financial services, gained in a professional services firm or FTSE 350 company.
- End‑to‑end project management expertise, covering scope definition, resource allocation, budget management, delivery and stakeholder engagement.
- Meticulous attention to detail with experience reviewing code, analytical outputs and documentation.
- Strong track record of mentoring, coaching and developing both junior and senior team members.
- Experience leading, motivating and managing diverse project teams.
- Advanced technical proficiency in Excel and at least one other programming language such as Python, SQL, VBA or Tableau.
- Knowledge of one or more financial asset classes (e.g., derivatives, loans, mortgages).
- Experience developing or validating cash‑flow models.
- Ability to analyse complex business problems, develop innovative solutions, and translate technical findings into strategic recommendations.
- Strong client relationship skills, identifying needs and contributing to business development.
- Exceptional oral and written communication skills, presenting technical information clearly to senior stakeholders.
- Understanding of risk‑management principles and experience embedding controls and governance in analytical models.
Desirable Qualifications
- Relevant professional qualification (e.g., CQF, FRM, CFA, ACA, CIMA).
- Experience with cloud‑based data platforms (AWS, Azure, GCP) or big‑data technologies (Spark, Hadoop).
- Strong understanding of regulatory frameworks such as BCBS239, IFRS 9, Basel IV, Solvency II or CRD V.
- Experience applying advanced analytical techniques (statistical modelling, machine learning, optimisation) to complex financial problems.
- Experience with machine‑learning or AI techniques in a financial services context.
- Experience with advanced data visualisation tools (Power BI, Qlik Sense).
- Familiarity with Agile project management methodologies.
Benefits
Hybrid working: you will be based in London but can work flexibly from office, remote or client sites as required.
Return‑to‑work support: coaching and resources are available to help professionals re‑enter the workforce after an extended career break.
#J-18808-Ljbffr”, “datePosted”: “2026-05-20”, “hiringOrganization”: { “@type”: “Organization”, “name”: “ACCA Careers”, “sameAs”: “https://uk.whatjobs.com/pub_api__cpl__436795864__4861?utm_campaign=publisher&utm_medium=api&utm_source=4861&geoID=299” }, “jobLocation”: { “@type”: “Place”, “address”: { “@type”: “PostalAddress”, “addressLocality”: “London” } } }Company: ACCA Careers
Location: London
Job Description:
The BCM Specialist Modelling team within Deloitte’s Audit & Assurance practice is a rapidly evolving team providing specialist analytics services to banking and capital market clients. The team caters to a range of data solutions including modelling, model reviews, data assurance, profiling and visualisations.
You will be an integral part of a market-leading team, collaborating with international colleagues to deliver analytical solutions to a broad spectrum of clients, from leading UK financial institutions to emerging FinTech companies.
Responsibilities
- Own a portfolio of Audit and Assurance clients.
- Provide direction and oversight to teams, and sign off deliverables.
- Liaise with senior stakeholders across the firm and at the client.
- Collaborate with senior leadership to translate strategic objectives into actionable plans and own effective execution.
- Oversee and guide engagements, managing senior team members, deliverables, timelines and client interactions.
- Conduct performance reviews, give constructive feedback and support career development of staff.
- Lead teams in delivering analytics and modelling services using SQL, Python, Tableau, and VBA to provide insights to clients.
- Lead advanced analytics and modelling services, including model testing, data analysis, quality reviews, report generation and visualisation across trading and banking books.
- Integrate analytics more deeply into the external audit approach and embed analytics into clients’ business and culture.
- Develop and deliver innovative analytics tools to meet evolving audit and regulatory requirements.
- Contribute to Audit & Assurance analytics thought leadership and strategy, and promote initiatives.
- Lead go‑to‑market initiatives, including proposal development and client pitches.
- Build and develop long‑term relationships with client stakeholders.
Essential Qualifications
- PhD, Master’s, or Bachelor’s degree (or equivalent) in a quantitative discipline such as Mathematics, Physics, Statistics, Computer Science, Accounting, Finance or Engineering.
- Demonstrable experience within an analytics or modelling team in financial services, gained in a professional services firm or FTSE 350 company.
- End‑to‑end project management expertise, covering scope definition, resource allocation, budget management, delivery and stakeholder engagement.
- Meticulous attention to detail with experience reviewing code, analytical outputs and documentation.
- Strong track record of mentoring, coaching and developing both junior and senior team members.
- Experience leading, motivating and managing diverse project teams.
- Advanced technical proficiency in Excel and at least one other programming language such as Python, SQL, VBA or Tableau.
- Knowledge of one or more financial asset classes (e.g., derivatives, loans, mortgages).
- Experience developing or validating cash‑flow models.
- Ability to analyse complex business problems, develop innovative solutions, and translate technical findings into strategic recommendations.
- Strong client relationship skills, identifying needs and contributing to business development.
- Exceptional oral and written communication skills, presenting technical information clearly to senior stakeholders.
- Understanding of risk‑management principles and experience embedding controls and governance in analytical models.
Desirable Qualifications
- Relevant professional qualification (e.g., CQF, FRM, CFA, ACA, CIMA).
- Experience with cloud‑based data platforms (AWS, Azure, GCP) or big‑data technologies (Spark, Hadoop).
- Strong understanding of regulatory frameworks such as BCBS239, IFRS 9, Basel IV, Solvency II or CRD V.
- Experience applying advanced analytical techniques (statistical modelling, machine learning, optimisation) to complex financial problems.
- Experience with machine‑learning or AI techniques in a financial services context.
- Experience with advanced data visualisation tools (Power BI, Qlik Sense).
- Familiarity with Agile project management methodologies.
Benefits
Hybrid working: you will be based in London but can work flexibly from office, remote or client sites as required.
Return‑to‑work support: coaching and resources are available to help professionals re‑enter the workforce after an extended career break.
#J-18808-Ljbffr…
Posted: May 20th, 2026