39 Data Managers jobs in London
Senior Data Management Professional - Data Quality - Loans
Posted 19 days ago
Job Viewed
Job Description
Location
London
Business Area
Data
Ref #
**Description & Requirements**
Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes.
**The Team:**
Our Loans Data team is responsible for acquiring and maintaining the full life-cycle of data relating to the Broadly Syndicated and Institutional Loans Market. Timely and accurate acquisition, interpretation, capture and maintenance of loan data is key to meet client needs. The loans market has seen increasingly historic volumes over the past two years in addition to more complex deal structures which has placed emphasis on the need for electronification and automation, uncovering an opportunity for technical innovation for our team.
As a technical leader, you will work with different Securities teams solving problems and devising solutions for data quality challenges. With that, you would be expected to navigate through unknowns and ambiguity while driving decisions and solutions.
**What's the role?**
We are looking for a Data Quality professional to understand the data requirements, specify the modeling needs of datasets and use existing tech stack solutions for efficient data ingestion workflows and data pipelining. You will implement technical solutions using programming, machine learning, AI, and human-in-the-loop approaches to make sure our data is fit-for-purpose for our clients. You will work closely with our Engineering partners, our Data Product Owner as well as Product teams, so you need to be able to coordinate with multi-disciplinary and regional teams and have experience in project management and stakeholder engagement. You will need to be comfortable working with large datasets and you will need to demonstrate strong experience in data engineering.
**That means:**
Transforming how we manage the quality of our datasets, by applying industry best practices to devise quality checks and quality metrics in the ETL processes that create, transform and store data, and measure data against standards defined by our clients' needs
Identifying and advocating for opportunities to improve the quality of data, through process improvements or workflow infrastructure enhancements
Providing guidance on how to implement processes to measure, monitor and report on data quality to our internal partners in Product or Sales
Defining and driving the Data Quality strategy and Quality Assurance practices for the whole Securities group
**We'll trust you to:**
+ Develop, refine, and deliver the strategy for how to achieve best-in-class data quality, and champion organizational change around data quality as a domain of data management
+ Educate and empower colleagues in industry principles of data quality, in order to elevate awareness, appreciation and application of these principles more broadly
+ Closely collaborate with Securities teams and their Product and Engineering counterparts to help craft data quality strategy, execution roadmap, define return on investment and technical solutions
+ Perform data profiling and apply statistical methods to support data quality measurements
+ Optimally and proactively connect with partners and senior management
+ Keep up with the industry trends, standards, and innovation in the Data Quality domain
**You'll need to have:**
+ 4+ years of professional experience in Data Quality Management, Quality Assurance Consulting or establishing Data Governance on metrics design within Finance or Technology industries
+ Experience in crafting and developing data quality metrics and reporting as a part of a bigger data architecture framework
+ Understanding of ETL processes and broader data workflow engineering concepts
+ Up-to-date knowledge of events taking place in the financial markets
+ Demonstrable experience in Data Profiling/Analysis using tools such as Python, R, or SQL
+ Ability to lead multiple projects with global scope in parallel, with superb communication and stakeholder management skills
**We'd love to see:**
+ DAMA CDMP or DCAM certifications
+ Familiarity with Corporate Actions, Loans, Corporate Bonds
+ Project Management experience developed in a matrixed partner environment and cross-regional business
Does this sound like you? Apply if you think we're a good match! We'll get in touch to let you know what the next steps are.
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
AI Data Quality Analyst (Generative Models)
Posted today
Job Viewed
Job Description
AI Data Quality Analyst (Generative Models)
- Contract length: 12 months potential for extension
- Salary: £52,000-£57,000 per year
- Location: Hybrid London Brock street 3 days per week
About the Role
We are seeking an AI Data Quality Analyst to support cutting-edge projects in generative AI, including evaluation of image and video models. This role combines hands-on data analysis, annotation, and model quality assessment with opportunities to collaborate closely with engineers and product teams.
Key Responsibilities
- Prototype and run evaluation protocols for generative AI models (image/video).
- Conduct human rating and quality assessments on generated content.
- Identify model gaps and support data mining for training improvements.
- Work with engineers and product design teams to scale validated evaluation methods.
- Ensure data accuracy and maintain high standards in repetitive evaluation tasks.
Skills & Experience
- 1+ year of relevant data analysis experience.
- Knowledge of Python and SQL (basic scripting and querying).
- Strong attention to detail and ability to work on structured evaluations.
- Exposure to computer vision, AI models, or annotation work is highly desirable.
- Degree in Computer Science, Engineering, Physics, Bioinformatics, or similar STEM subject.
Next steps to apply:
Apply now with word document CV or email your CV direct to for immediate review.
AI Data Quality Analyst (Generative Models)
Posted today
Job Viewed
Job Description
AI Data Quality Analyst (Generative Models)
- Contract length: 12 months potential for extension
- Salary: £52,000-£57,000 per year
- Location: Hybrid London Brock street 3 days per week
About the Role
We are seeking an AI Data Quality Analyst to support cutting-edge projects in generative AI, including evaluation of image and video models. This role combines hands-on data analysis, annotation, and model quality assessment with opportunities to collaborate closely with engineers and product teams.
Key Responsibilities
- Prototype and run evaluation protocols for generative AI models (image/video).
- Conduct human rating and quality assessments on generated content.
- Identify model gaps and support data mining for training improvements.
- Work with engineers and product design teams to scale validated evaluation methods.
- Ensure data accuracy and maintain high standards in repetitive evaluation tasks.
Skills & Experience
- 1+ year of relevant data analysis experience.
- Knowledge of Python and SQL (basic scripting and querying).
- Strong attention to detail and ability to work on structured evaluations.
- Exposure to computer vision, AI models, or annotation work is highly desirable.
- Degree in Computer Science, Engineering, Physics, Bioinformatics, or similar STEM subject.
Next steps to apply:
Apply now with word document CV or email your CV direct to for immediate review.
Senior Data Management Professional - Data Quality - Entities Data (Private Markets)
Posted 16 days ago
Job Viewed
Job Description
Location
London
Business Area
Data
Ref #
**Description & Requirements**
Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news, and analytics through innovative technology - quickly and accurately. We optimize the value of our data by combining domain and technical expertise to make data fit-for-purpose, timely, and accurate. We apply our problem-solving skills to identify innovative workflow efficiencies and deliver a high level of customer service.
**Our Team**
The Entity Data team is responsible for the creation, enrichment, and support of core entity data, including legal entities, issuers, and corporate hierarchies, for over 7 million public and private companies. This data underpins foundational reference data, private markets, and risk management. The team partners closely with Engineering, Product, and other Data groups to ensure our data management processes, ingestion pipelines, quality controls, and delivery methods evolve with market needs.
**What's the Role?**
As a Data Quality Manager, you will define and execute the quality strategy that ensures our datasets are reliable, consistent, and ready for critical client use cases. You will lead efforts to design and implement effective data management practices, establish quality metrics, and deliver transparent reporting. Your work will directly support the transformation of our data workflows, enabling scalability for private markets and beyond.
This role requires a mix of technical expertise, governance mindset, and stakeholder engagement skills. You'll collaborate closely with Engineering, Product, and internal Centers of Excellence to ensure our datasets evolve in line with industry standards while also meeting client expectations for accuracy, coverage, and usability.
**We'll Trust You To:**
+ Develop and deliver the data quality strategy for the Entities product, aligning it with client use cases and industry best practices.
+ Define, measure, and monitor data quality metrics that ensure transparency and accountability across workflows.
+ Partner with Product, Engineering, and Data teams to embed quality-by-design principles into ingestion, transformation, and delivery pipelines.
+ Perform data profiling, statistical analysis, and root cause investigations to validate approaches and recommend improvements.
+ Lead initiatives to modernize workflows-advocating for automation, AI/ML-enabled quality checks, and scalable infrastructure enhancements.
+ Promote data quality awareness and education across the organization, empowering colleagues to embed quality into their work.
+ Stay ahead of industry developments in reference data and private markets to shape our data strategy.
**You'll Need to Have:**
_*Please note we use years of experience as a guide but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role._
+ 4+ years of professional experience in data quality management, reference data, or data governance.
+ Hands-on experience with data profiling/analysis tools such as Python, R, or SQL.
+ Familiarity with ETL processes, data pipelines, and workflow design.
+ Experience with data visualization tools (Tableau, QlikSense, Power BI, or similar) to communicate quality insights.
+ Proven ability to collaborate across teams and geographies, influencing both technical and business partners.
+ Comfort working in a dynamic, evolving environment, balancing long-term strategy with immediate operational needs.
+ Strong analytical skills, attention to detail, and a solutions-oriented mindset.
**We'd love to see:**
+ Industry-recognized data management certifications (e.g., DAMA, CDMP, DCAM).
+ Experience with reference data, entity/issuer data, or private markets datasets, including integration of third-party providers.
+ Exposure to Agile methodologies such as Scrum or Kanban.
+ Hands-on knowledge of data governance and quality frameworks, including metadata management and regulatory considerations.
+ Familiarity with modern data infrastructure and architecture (APIs, pipelines, cloud platforms), with exposure to AI/ML or LLM-based enrichment solutions for anomaly detection and automation.
+ Exposure to Agile methodologies such as Scrum or Kanban.
+ Awareness of emerging trends in Private Markets data, including the complexities of non-public entities and their role in financial workflows.
+ Understanding of financial use cases that depend on accurate entity data, such as client onboarding, compliance/KYC, counterparty risk, and issuer classification.
**Does this sound like you?**
Apply if you think we're a good match. We'll get in touch to let you know what the next steps are!
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
Senior Data Management Professional - Data Quality Engineer - Alternative Investment Funds
Posted 16 days ago
Job Viewed
Job Description
Location
London
Business Area
Data
Ref #
**Description & Requirements**
Bloomberg runs on data, and the Bloomberg Data team is responsible for supplying it. The Bloomberg Data department is responsible for sourcing, processing, and analyzing the data that is the backbone of our iconic Bloomberg Terminal. We apply problem-solving skills to identify creative workflow efficiencies, and we implement technology solutions to enhance our data, systems, products and processes while providing platinum customer support to our clients.
Our Team
Whether a fund investor, manager or advisor, Bloomberg has the data, solutions and industry network to help our clients take their fund and company analysis to the next level. The Alternative Investments data team is made up of market specialists and technologists with a passion for private markets, from fund launch to liquidation, seed round to IPO and all the data in between.
What's the role?
The Alternative Investment Funds Automation team is looking for a highly motivated individual with a passion for finance, data, and technology to build and optimize our data product by developing and implementing our data quality strategy and quality assurance practices. As a Data Management Professional, you will help to develop our business outcome-based data strategies to optimize the value of data for our customers and improve data operations.
We'll trust you to:
+ Develop systematic strategies to analyse current processes, identify data quality gaps, and scale best practices
+ Lead the execution of data quality initiatives, best practices, and projects across global teams
+ Partner with Engineering and Product teams to embed data quality strategies into product and engineering roadmaps
+ Foster a product culture where data quality insights are discoverable, actionable, and transparent
+ Apply domain expertise to guide product and engineering decisions, ensuring high-quality outputs
+ Use technology and technical skills to drive systematic data quality assurance
+ Apply advanced data analysis skills to identify trends, patterns, and anomalies, informing data quality approaches
+ Stay current with internal best practices, industry standards, and innovations in data quality
+ Act as a hands-on owner in quality projects and product coordination, collaborating with Technical Specialists, Engineers, and Product Managers as needed
You'll need to have:
+ Bachelor's degree in Statistics, Data Analytics, Data Science, or another STEM-related field
+ Minimum of 4 years of experience* in data management concepts such as data quality, random sampling, and data modeling
+ Proven experience analyzing financial datasets or applying financial market concepts
+ Hands-on experience with data profiling and analysis using tools such as Python, R, or SQL
+ Strong ability to communicate results clearly and concisely through data visualization tools
+ Demonstrated ability to apply logical reasoning and critical thinking to solve complex problems
_*Please note we use years of experience as a guide, but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role*_
We'd love to see:
+ Experience in data science, technical consulting or the financial industry
+ Master's or PhD in a relevant field
+ Certification such as a CFA charter holder or CAIA
+ Familiarity with Agile or Scrum project management methodologies
+ Experience using data analysis and visualization tools such as Tableau or QlikSense
Does this sound like you?
Apply if you think we're a good match. We'll get in touch to let you know what the next steps are!
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
Quality Assurance Manager - Data Centre
Posted today
Job Viewed
Job Description
Are you a QA/QC expert ready to ensure absolute precision across Civil, Structural, Architectural (CSA), Mechanical, and Electrical (M&E) disciplines on world-class projects?
Salter Grange is partnering with a Leading Principal Contractor —a forward-thinking powerhouse in the Mission Critical Data Centre sector. With a full order book for several years , this is a unique opportunity for a credible QA/QC Manager to play a pivotal role in the company's growth and expansion.
This is your chance to join a cutting-edge business, secure your career for the long term, and establish the quality benchmark for projects that power the digital world.
QA Manager Responsibilities:
You will be the authority on quality, interpreting client requirements and driving flawless execution across multi-discipline systems. Your focus is ensuring smooth, system-by-system handover.
- Coordinate the creation, execution, and upkeep of the project Quality Plan and all associated Inspection/Test Plans (ITPs) per Client specifications.
- Clearly interpret and communicate complex contract Quality requirements to all project staff and supporting company functions.
- Review, audit, and manage the implementation of the Project Quality plan and procedures, working closely with the Auditing team.
- Expertly manage Project inspection/test programs and all crucial witness point schedules on a system-by-system basis, ensuring full client participation.
- Manage the resolution of all quality-related matters at the Project Management and supervisor levels.
- Coordinate the meticulous handover of all final Quality Records to the Client on a system-by-system basis.
QA Manager Requirements:
- Significant experience covering CSA, Mechanical, and Electrical systems.
- 3-5 years of experience in a similar QA/QC Construction role.
- Prior experience on Data Centre or equivalent large industrial/mission-critical projects is essential.
- Previous experience working for a General/Principal Contractor is ideal.
Must possess the right to work in Europe (EU Passport/Visa).
APPLY NOW via the link, or contact Julia at to discuss this career-accelerating opportunity further.
Quality Assurance Manager - Data Centre
Posted today
Job Viewed
Job Description
Are you a QA/QC expert ready to ensure absolute precision across Civil, Structural, Architectural (CSA), Mechanical, and Electrical (M&E) disciplines on world-class projects?
Salter Grange is partnering with a Leading Principal Contractor —a forward-thinking powerhouse in the Mission Critical Data Centre sector. With a full order book for several years , this is a unique opportunity for a credible QA/QC Manager to play a pivotal role in the company's growth and expansion.
This is your chance to join a cutting-edge business, secure your career for the long term, and establish the quality benchmark for projects that power the digital world.
QA Manager Responsibilities:
You will be the authority on quality, interpreting client requirements and driving flawless execution across multi-discipline systems. Your focus is ensuring smooth, system-by-system handover.
- Coordinate the creation, execution, and upkeep of the project Quality Plan and all associated Inspection/Test Plans (ITPs) per Client specifications.
- Clearly interpret and communicate complex contract Quality requirements to all project staff and supporting company functions.
- Review, audit, and manage the implementation of the Project Quality plan and procedures, working closely with the Auditing team.
- Expertly manage Project inspection/test programs and all crucial witness point schedules on a system-by-system basis, ensuring full client participation.
- Manage the resolution of all quality-related matters at the Project Management and supervisor levels.
- Coordinate the meticulous handover of all final Quality Records to the Client on a system-by-system basis.
QA Manager Requirements:
- Significant experience covering CSA, Mechanical, and Electrical systems.
- 3-5 years of experience in a similar QA/QC Construction role.
- Prior experience on Data Centre or equivalent large industrial/mission-critical projects is essential.
- Previous experience working for a General/Principal Contractor is ideal.
Must possess the right to work in Europe (EU Passport/Visa).
APPLY NOW via the link, or contact Julia at to discuss this career-accelerating opportunity further.
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Data Governance Manager
Posted today
Job Viewed
Job Description
Information Governance Lead
London/Hybrid
6 months initially
Day rate from £550 via Umbrella Company
Our commitment is to provide equal opportunity regardless of, for example, your gender, age, ethnicity, disability, sexual orientation or beliefs. We also engage with employers to develop programmes and pathways that embrace diverse talent and promote more inclusive employment worldwide through partnerships and other initiatives. We recognise and celebrate the value of difference and how it makes us faster, smarter and more innovative than our competition.
My client is one of the largest financial institutions headquartered in Japan, with an established presence across all consumer and corporate banking businesses. Through its subsidiaries and affiliates, they offer a diverse range of financial services, including commercial banking, leasing, securities, credit card, consumer finance and other services.
They are looking for a Information Governance Lead to join the EMEA Data Management Group on an initial 6 month contract. You will be working Monday to Friday, standard office hours with the occasional out of hours requirement in line with business needs.
Purpose of Job
The Information Governance Lead is a critical role within the data office and wider Group. You will leverage your knowledge and expertise to lead Information Governance support and services. The role will interface with the SMEs across the organisation and work with the Director of Information Governance to deliver the IG strategy aligned to the bank’s business strategy and core Business As Usual workstreams
Aligned to the strategy and business priorities, this role will work closely with teams across the EMEA Data Office, IT, Legal, Compliance and Change Management functions to shape IG for EMEA. The role will support the breadth of BAU and project work across the Information Governance Team, with specific responsibilities for providing data privacy, records management and data classification expertise. The role also requires an ability to educate and convince stakeholders at all levels on the essential nature of this role, as well as a clear understanding and articulation of the need for IG controls and the benefits they bring.
You must be willing to challenge the status quo in an empathic manner, while helping the wider Data Office team to have an ethos of openness and transparency that will help us nurture real business innovation.
Accountabilities & Responsibilities
- Advise the business on IG management enquiries
- Review and advise the business on the completion of Privacy Risk Assessments and the implementation of mitigating measures
- Lead on the annual and ongoing review and revisions of documentation including policies and privacy notices
- Lead or participate in information governance-related projects which include data classification and records management capabilities
- Conduct IG horizon-scanning for emerging issues and gap analyses
- Advise the business on the IG implications and regulator reporting requirements of incidents and breaches
- Create and deliver training materials
- Support activities to implement records retention processes and manage unstructured information across the organisation
- Support the ongoing and bi-annual processes to complete the organisations Information Asset Register
Knowledge, Skills, Experience & Qualifications
- Extensive knowledge data privacy and records management regulation across EMEA
- Experience of creating and implementing IG policies and standards
- Understanding of broader information governance subject areas including records management and records retention
- Experience of providing pragmatic and clear advice to the business and conducting risk assessments in large multi-national organisations.
- Drafting and revising policies, processes, training, and guidance
- Good at building relationships across business areas and challenging existing practices that may present a compliance risk
- Identifying process improvements and delivering change
Candidates must show evidence of the above in their CV to be considered.
Please be advised if you haven't heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you.
Data Governance Manager
Posted today
Job Viewed
Job Description
Information Governance Lead
London/Hybrid
6 months initially
Day rate from £550 via Umbrella Company
Our commitment is to provide equal opportunity regardless of, for example, your gender, age, ethnicity, disability, sexual orientation or beliefs. We also engage with employers to develop programmes and pathways that embrace diverse talent and promote more inclusive employment worldwide through partnerships and other initiatives. We recognise and celebrate the value of difference and how it makes us faster, smarter and more innovative than our competition.
My client is one of the largest financial institutions headquartered in Japan, with an established presence across all consumer and corporate banking businesses. Through its subsidiaries and affiliates, they offer a diverse range of financial services, including commercial banking, leasing, securities, credit card, consumer finance and other services.
They are looking for a Information Governance Lead to join the EMEA Data Management Group on an initial 6 month contract. You will be working Monday to Friday, standard office hours with the occasional out of hours requirement in line with business needs.
Purpose of Job
The Information Governance Lead is a critical role within the data office and wider Group. You will leverage your knowledge and expertise to lead Information Governance support and services. The role will interface with the SMEs across the organisation and work with the Director of Information Governance to deliver the IG strategy aligned to the bank’s business strategy and core Business As Usual workstreams
Aligned to the strategy and business priorities, this role will work closely with teams across the EMEA Data Office, IT, Legal, Compliance and Change Management functions to shape IG for EMEA. The role will support the breadth of BAU and project work across the Information Governance Team, with specific responsibilities for providing data privacy, records management and data classification expertise. The role also requires an ability to educate and convince stakeholders at all levels on the essential nature of this role, as well as a clear understanding and articulation of the need for IG controls and the benefits they bring.
You must be willing to challenge the status quo in an empathic manner, while helping the wider Data Office team to have an ethos of openness and transparency that will help us nurture real business innovation.
Accountabilities & Responsibilities
- Advise the business on IG management enquiries
- Review and advise the business on the completion of Privacy Risk Assessments and the implementation of mitigating measures
- Lead on the annual and ongoing review and revisions of documentation including policies and privacy notices
- Lead or participate in information governance-related projects which include data classification and records management capabilities
- Conduct IG horizon-scanning for emerging issues and gap analyses
- Advise the business on the IG implications and regulator reporting requirements of incidents and breaches
- Create and deliver training materials
- Support activities to implement records retention processes and manage unstructured information across the organisation
- Support the ongoing and bi-annual processes to complete the organisations Information Asset Register
Knowledge, Skills, Experience & Qualifications
- Extensive knowledge data privacy and records management regulation across EMEA
- Experience of creating and implementing IG policies and standards
- Understanding of broader information governance subject areas including records management and records retention
- Experience of providing pragmatic and clear advice to the business and conducting risk assessments in large multi-national organisations.
- Drafting and revising policies, processes, training, and guidance
- Good at building relationships across business areas and challenging existing practices that may present a compliance risk
- Identifying process improvements and delivering change
Candidates must show evidence of the above in their CV to be considered.
Please be advised if you haven't heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you.
Data Governance and AI
Posted today
Job Viewed
Job Description
Data Management & AI Governance Expert (Capital Markets)
Location: London – Cheapside (Hybrid – 3 days per week in office)
Employment Type: Full-time, Permanent
Salary: £80,000 – £90,000 per annum plus benefits, perks and healthcare options
Note: Must Have Capital Markets Experience!
About the Role
We are seeking a Capital Markets Data Management & AI Governance Specialist to join a forward-thinking and dynamic team within a global financial services organization. This is a unique opportunity to play a pivotal role in the development and governance of AI solutions and data strategy within the Global Equities and Cross Asset Derivatives business lines.
Key Responsibilities
Data Governance & Delivery
- Lead the delivery of key data initiatives and manage high-priority datasets
- Define critical data elements (CDEs), maintain business glossaries, and implement robust data quality frameworks
- Identify and manage internal and external data sources, ensuring strong access and sharing controls.
AI & Technology Enablement
- Build tools and processes for metadata management, data quality, and data sharing.
- Leverage AI and automation tools to improve data governance capabilities.
- Use Python, SQL, PySpark, Power BI, and related tools for data processing and visualization.
Strategy & Stakeholder Engagement
- Provide subject matter expertise in data governance and AI governance.
- Collaborate with business, data, and tech teams to align on data strategy and execution.
- Act as a key liaison for data-related initiatives and innovation.
What We're Looking For:
Capital Markets Knowledge
- Solid understanding of OTC Derivatives (any asset class), ideally with front office exposure.
- Familiarity with trade lifecycle, pricing, and capital markets processes.
Technical & Analytical Skills
- Hands-on experience with large datasets and data profiling.
- Proficiency in data tools: Power BI, Excel, SQL, Python, Databricks.
- Familiarity with tools like Great Expectations, Pandas, Plotly, or MS Power Automate is a plus.
- Able to work collaboratively and independently in a fast-paced environment.
Ready to Apply?
If you're excited by the opportunity to shape data and AI governance in a leading Capital Markets team, apply now with your CV and a brief cover note.