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


Start Date

Immediate

Expiry Date

08 Aug, 25

Salary

0.0

Posted On

09 May, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Risk Systems, Data Models, Market Data, Programmes, Multi Disciplinary Teams, Business Intelligence, Business Units, Investments, Design Workshops, Modelling Tools, Data Solutions, Reporting, Derivatives, Reference Data, Team Culture, Proposal Writing, Self Service

Industry

Information Technology/IT

Description

REQ #

18800
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, 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.

RELEVANT EXPERIENCE, INCLUDING:

  • Working on client facing projects
  • Experience of contributing to proposal writing, presentations and pre-sales activities
  • Excellent problem solving and analytical skills
  • Strong 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)
  • Manager experience as a leader of people in workstream, providing dynamic day-to-day leadership that nurtures and develops junior talent, creating effective data design teams
  • Strong understanding of data solutions, including data management, data quality, master data management, reference data, reporting and visualisation, analytics and self-service business intelligence
  • Demonstrate an understanding of data modelling principles and familiarity with processes, policies and any of the key data modelling tools
  • 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 data managers to align data management 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 lead and 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
Responsibilities
  • Managing teams to deliver data strategies and assessment of data processes, 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.
  • Contributing to development of data strategies related to GenAI and development technologies
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