National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Quantitative Research - CDO Data Governance - Associate

eFinancialCareers
Greater London
2 months ago
Create job alert

Responsibilities


Understanding business processes in CIB Markets and the data required to drive the processes Implementing data ownership programs across in-scope applications within Markets, supporting business Data Owners and the Markets CDO Assisting in defining and cataloguing datasets used in or created by business processes in Markets Deriving insights from data analysis, and providing the insights to senior management, with the goal to inform/advise senior management on data quality improvement opportunities Partnering with senior business stakeholders to drive prioritization of data quality efforts, and manage timely resolutions, escalating delays and obstacles/roadblocks to requisiteernance forums Leading the implementation of data quality management projects globally across Markets, partnering with business and technology stakeholders Coordinating data quality issue tracking and remediation, root cause analysis, and escalation. Performing project management and business analysis on data issues/initiatives, and achieving senior management buy-in for project activities and next steps Liaising with firmwide and CIB CDOs to ensure alignment of Markets CDO functions with the firmwide and CIB CDOs
Required Qualifications, Capabilities and Skills
5+ years of experience in Data Management including Data Quality Management, Data Issue Management, Metadata Management, Data Management Policy and Standards creation/implementation Programming experience with Python, SQL Proficiency in manipulating and analyzing large datasets in Excel (pivots, formulas, charts, etc.) Cloudputing experience with AWS and/or SnowFlake Business Analysis and deep analytical and problem-solving skills Familiarity with asset classes and related products and processes Experience leading/working in a matrixed environment Self-starter with strong time management skills; efficient at multi-tasking and able to work under pressure to address multiple concurrent business demands on-time Excellentmunication, presentation (both oral and written), and influencing skills - candidate will be dealing with stakeholders of varying degrees of seniority (up-to Managing Director level) across front office Equities line of businesses, Technology, Operations, and Corporate/Firmwide data organizations Experience in the Financial Services industry
Preferred Qualifications, Capabilities and Skills
3+ years of experience in the financial services industry is preferred
About Us

Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations,ernments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at ourpany. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable amodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an amodation.

About the Team

Morgan'smercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations,ernments and institutions throughout the world entrust us with their business in more than 100 countries. Themercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. Job ID 300

Related Jobs

View all jobs

Quantitative Researcher

Quantitative Researcher - HFT

Quantitative Researcher - Machine Learning

Quantitative Researcher │PhD and Post-Doc

Quantitative Researcher - Systematic Rates

Quantitative Researcher

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.