Manager, Investment Management & Wealth Data Architect - AI & Data, Technol at Deloitte
London, England, United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

09 Aug, 25

Salary

0.0

Posted On

12 May, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Master Data Management, Analytics, Client Requirements, Trading, Data Solutions, Connect, Data Models, Modelling Tools, Derivatives, Data Products, Visualisation, Clear Communications, Design Workshops, Business Units, Programmes, Market Data, Wealth Management

Industry

Information Technology/IT

Description

REQ #

18798
Job description

CONNECT TO YOUR INDUSTRY

If you’re looking for a role in a fast paced, exciting environment where you can make a big impact in Investment Management and Wealth, and you are passionate about investment data and architecture, then this is the role for you. You will benefit from early client exposure and work alongside the top practitioners in our field. You will develop quickly, adding real value to clients and build your own credibility and brand in the industry from an early stage, in turn making an impact that matters.
Connect to your career at Deloitte
Deloitte drives progress. Using our vast range of expertise, we help our clients’ become leaders wherever they choose to compete. To do this, we invest in outstanding people. We build teams of future thinkers, with diverse talents and backgrounds, and empower them all to reach for and achieve more.
What brings us all together at Deloitte? It’s how we approach the thousands of decisions we make every day. How we behave, our beliefs and our attitudes. In other words: our values. Whatever we do, wherever we are in the world, we lead the way, serve with integrity, take care of each other, foster inclusion, and collaborate for measurable impact. These five shared values lead every decision we make and action we take, guiding us to deliver impact how and where it matters most.

CONNECT TO YOUR SKILLS AND PROFESSIONAL EXPERIENCE

Consulting or equivalent experience, including:

  • Strong understanding of data solutions and existing market data platforms, including data modelling, data management, data quality, master data management, reference data, reporting and visualisation, analytics and self-service business intelligence or equivalent.
  • Experience in data solution architecture e.g. establishing design principles, defining solution patterns while following architecture methodologies or equivalent.
  • Experience developing a ‘common language for data’, including data models (all types), data dictionaries, data vocabularies, taxonomies or ontologies.
  • Demonstrate a strong understanding of data modelling principles and familiarity with processes, policies and any of the key data modelling tools.
  • Excellent problem solving and analytical skills.
  • Solid executive-level stakeholder interaction using clear communications and be able to form strong client relationships.
  • Experience and expertise in functional areas in Investments and Wealth Management, such as (not all): Financial product, Wealth management products, trading and execution, portfolio management, derivatives, risk modelling/monitoring, pricing, market data, custodian systems, ESG data solutions, third party data and risk systems (Bloomberg, MSCI, Sand P, Refinitiv, Charles River, Fitch, IHS Markit, SnowFlake, Denodo).
  • Experience of contributing to proposal writing, presentations and supporting pre-sales activities.
  • Manager experience as a leader of people in workstream, providing dynamic day-to-day leadership that nurtures and develops junior talent, creating effective data teams.
  • Experience in engaging with both Business and IT stakeholders to document business outcomes and objectives for large-scale solutions and programmes.
  • Led data design workshops, including defining client requirements, document data models and reviewing output with stakeholders.
  • Experience in working with peers and senior enterprise solution/data architects to align data architecture blueprints across different business units and geographies.
  • Be able to assimilate and apply new techniques and knowledge to achieve business outcomes.
  • Experience of leading multi-disciplinary teams in fast-paced project environments and demonstrate personal resilience.
  • Ability to manage ‘go-to-market’ activities such as responding to RFI / RFPs and developing high-quality proposal materials.
  • Work within an inclusive team culture where people are recognised for their contribution helping them grow their career in Deloitte.

Preferably you will also have:

  • Certified in Data and AI technologies (e.g. Microsoft Fabric, Snowflake, Databricks (or equivalent)) and experience in designing and delivering enterprise data solutions including toolset selection, effort and cost estimation.
  • Experience and knowledge in designing Data Products for the Investment Management and Wealth industry.
  • Investment Management and Wealth certifications such as CFA, CISI, CAIA or equivalent is a plus.
  • Project Management experience of both waterfall and agile delivery approaches.
Responsibilities
  • Managing teams to deliver data strategies and assessment of investment data architecture artefacts, identifying and quantifying inefficiencies, and contributing to the design and implementation of improvements.
  • Managing the development of compelling proposals and pitches that showcase innovative solutions for enhancing clients’ operating models.
  • Managing the development of business cases, identifying cost-saving opportunities, and collaborating with senior team members to deliver sustainable results for clients.
  • Conducting methodical research, analysing large qualitative and quantitative data sets, and shaping recommendations with support from experienced consultants.
  • Managing the evaluation and application of emerging technologies and innovative approaches to shape strategy, design operating models, define principles and roadmaps, and contribute to the delivery of transformation initiatives.
  • Contributing to strategic and operational reviews of organisations or specific functions, working as part of a team to analyse processes at various levels.
  • Assisting in organising insights and developing compelling narratives to effectively communicate recommendations to clients
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