Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead data product initiatives and drive strategic direction for Global Markets.
- Company: Global investment bank with a focus on innovative data solutions.
- Benefits: Competitive salary up to £200k, generous bonuses, and comprehensive benefits.
- Why this job: Make a real impact in financial markets through data-driven innovation.
- Qualifications: 5+ years in data product management and strong analytical skills required.
- Other info: Collaborative environment with opportunities for professional growth.
My client, a global investment bank, has a cross-asset team that builds the software and analytics that underpin their Global Markets business. The analytical software and data solutions developed by this team are widely used across the business, helping the Distribution team to price trades and serve clients, Trading to manage their risk, and Structuring to identify new client opportunities. The team is split between London, New York and other locations, with this role being based in London.
JOB PURPOSE
In this role, you will serve as the Data Product Owner for the Global Market. You will be responsible for driving the strategic direction of data products, championing data initiatives, and ensuring that data solutions align with business objectives. You will act as a bridge between business stakeholders and technology teams, translating abstract business requirements into effective data-driven solutions and ensuring robust data governance. The person will have a modelling background.
KEY ACCOUNTABILITIES
- Stakeholder Management
- Engage with business stakeholders to understand their needs and the value of data products
- Facilitate prioritisation of data initiatives based on business impact
- Communicate effectively with diverse groups to ensure alignment on objectives
- Data Champion
- Lead the roll-out and adoption of new data products and initiatives
- Advocate for data-driven decision-making across the team
- Business Requirement Analysis & Technology Solutioning
- Translate core, abstract business requirements into technical solutions
- Collaborate with technology teams to select appropriate technologies (e.g., for tick data, trading strategy development, or for scalable analytics)
- Strategic Data Source Determination
- Identify and recommend strategic (internal and external) data sources for business and analytics needs
- Oversee the selection process without directly managing the onboarding
- Data Modelling
- Work closely with technical teams on data modelling activities
- Provide input and challenge to ensure data models are fit for purpose
- Data Governance Steering
- Drive strong data governance practices, including data ownership, stewardship, metadata management, and data sharing
- Ensure compliance with company policies and industry standards
- Agentic Strategy Prioritisation
- Prioritise both data access and tooling to support agentic strategies for the group
CROSS-FUNCTIONAL RELATIONSHIPS
This role will involve close collaboration with business stakeholders, quantitative analysts, and technology partners across the business.
AUTHORITIES/DECISION RIGHTS
- Authority to set priorities for data product development and enhancement
- Authority to make recommendations regarding data sources and technology selection
- Authority to steer data governance practices within the business
KNOWLEDGE AND DESIRABLE SKILLS
They are seeking a highly motivated individual with strong interpersonal and analytical skills. The following attributes are a useful guide to the level of performance expected:
- Degree in a quantitative discipline, computer science, data science, or related field (advanced degree an advantage)
- 5+ years of experience in data product management or related roles within financial services or global markets
- Demonstrated experience in stakeholder management and business analysis
- Strong understanding of data technologies (e.g., KDB, Databricks) and their application to financial markets (hands-on)
- Experience in data modelling and governance frameworks
- Proven ability to translate business requirements into technical solutions
- Excellent communication and teamwork skills
- Genuine passion for data-driven innovation and problem-solving
- Highly motivated with a genuine passion for finding elegant and practical solutions to technical problems
- Strong experience within financial global markets (essential)
ESSENTIAL SKILLS
Leadership in abstract data modelling across the whole capital market domain (client, trade, market, risk), in particular silver and semantic layers. Strategic prioritisation in the data domain. Stakeholder management (business stakeholders but also e.g. data governance groups). That abstract data modelling requires quant-like skills. Someone with quant skills who has got more involved in data is the right profile. Potentially from a global provider of financial software, data, analytics, and media, or similar organisation, or possibly someone hands-on at a hedge fund. A Technical Manager who can lead by example in the modelling arena.
WORKING CONDITIONS
This role operates within a normal office environment.
SALARY up to £200k base plus generous bonus and benefits.
DATA PRODUCT OWNER/MODELLER (GLOBAL MARKETS) - SENIOR DIRECTOR - LONDON in City of London employer: FUTURUS FINANCIAL RECRUITMENT LTD
Contact Detail:
FUTURUS FINANCIAL RECRUITMENT LTD Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land DATA PRODUCT OWNER/MODELLER (GLOBAL MARKETS) - SENIOR DIRECTOR - LONDON in City of London
✨Tip Number 1
Network like a pro! Reach out to connections in the industry, especially those who work at investment banks or in data roles. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Prepare for interviews by diving deep into the company’s data products and recent projects. Show us you’re not just familiar with the role but genuinely excited about how you can contribute to their data initiatives.
✨Tip Number 3
Don’t underestimate the power of follow-ups! After an interview, drop a quick thank-you email to express your appreciation and reiterate your enthusiasm for the role. It keeps you fresh in their minds.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the team and ready to take on the challenge.
We think you need these skills to ace DATA PRODUCT OWNER/MODELLER (GLOBAL MARKETS) - SENIOR DIRECTOR - LONDON in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Data Product Owner role. Highlight your experience in data product management and stakeholder engagement, as these are key for us.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data-driven innovation. Share specific examples of how you've successfully translated business requirements into technical solutions in the past.
Showcase Your Technical Skills: Don’t forget to mention your familiarity with data technologies like KDB or Databricks. We want to see how your technical background can contribute to our Global Markets team.
Apply Through Our Website: We encourage you to apply directly through our website. This way, we can ensure your application gets the attention it deserves and you can easily track its progress!
How to prepare for a job interview at FUTURUS FINANCIAL RECRUITMENT LTD
✨Know Your Data Inside Out
As a Data Product Owner, you need to be well-versed in data technologies and their applications in financial markets. Brush up on tools like KDB and Databricks, and be ready to discuss how you've used them in past roles. This will show your technical prowess and understanding of the industry.
✨Master Stakeholder Engagement
This role requires excellent stakeholder management skills. Prepare examples of how you've successfully engaged with business stakeholders in the past. Think about how you prioritised data initiatives based on their needs and how you communicated effectively across diverse groups.
✨Showcase Your Modelling Skills
Since a strong modelling background is essential, be prepared to discuss your experience in data modelling. Bring specific examples of projects where you contributed to data governance and how you ensured that data models were fit for purpose. This will highlight your analytical skills and attention to detail.
✨Demonstrate Your Passion for Data Innovation
The company is looking for someone who genuinely loves data-driven innovation. Share your thoughts on current trends in data analytics and how you envision the future of data products in global markets. This will help convey your enthusiasm and forward-thinking mindset.
