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Job Description
Works alongside the Surveillance Data team to optimise how data quality is delivered and operated across the Trade and Market Surveillance estate, with a specific focus on the Cross Product Surveillance programme. The role supports the design and oversight of data controls, data onboarding, and data quality frameworks required to enable cross-product surveillance across increasingly complex, multi-asset and multi-venue datasets.
Acting as a subject matter expert, the role supports the Head of Surveillance Effectiveness & Data (and wider team) in defining clear business requirements for the redesign and execution of the future-state data quality control framework. The focus is on continuous improvement - identifying where data quality breaks down, streamlining control design and operation, and reducing control inefficiencies as coverage expands.
Operating with a project delivery mindset, the individual works closely with the Head of Surveillance Effectiveness & data (and wider teams) to translate strategic direction into execution - driving analysis, drafting requirements, and managing stakeholder follow-up ensuring that data quality controls are scalable, effective, and embedded across new and existing data feeds.
Key Responsibilities
- Design and enhance data control frameworks to support Cross Product surveillance across multi-product and multi-venue datasets, ensuring controls are scalable and aligned to increasing data complexity.
- Define and implement controls to ensure completeness, accuracy, and consistency of surveillance data inputs, with a focus on reducing duplication and control inefficiencies.
- Lead the redesign of data quality control frameworks, in collaboration with Data, Surveillance, and Technology teams, to support scale, standardisation, and sustainability across Cross Product datasets.
- Establish structured approaches for data quality monitoring and issue detection, embedding these consistently across new and existing data feeds.
- Partner with data teams to improve data quality at source, working with data owners and engineers to understand data production processes and identify root causes of issues.
- Analyse data flows from upstream systems to downstream models to identify dependencies, control points, and risks, and document these in a structured, business-readable format.
- Translate data requirements into executable data quality controls, including definition of data contracts, datasets, control logic, and monitoring thresholds.
- Apply judgement in control selection, using data and product context to define a focused and meaningful control set and avoid control proliferation.
- Draft functional requirements and data control specifications under the direction of the DQ Lead, ensuring alignment to end-to-end data dependencies and outcomes.
- Optimise the data quality control lifecycle, identifying inefficiencies across check creation, detection, reporting, and operational processes, and proposing simplification opportunities.
- Maintain the workstream delivery view on behalf of the DQ Lead, including tracking plans, dependencies, risks, and proactively escalating delivery issues.
- Draft operational handover artefacts, including runbooks, triage processes, and control guidance, to support adoption by DQ Operations.
- Support analysis of data quality issues, including identification of root causes and assessment of downstream impact on surveillance outputs.
- Identify and document data risks, control gaps, and failure points across data flows, ensuring appropriate visibility and escalation.
- Support implementation of controls to mitigate data-related operational and control risks.
- Participate in working groups with Data, Surveillance, and DQ Operations to validate requirements and capture practical data challenges.
- Support the DQ Lead in coordinating specialist review and validation, including facilitating SME workshops prior to control sign-off.
- Support product-based data quality reporting and impact assessment, improving transparency of data issues and their linkage to downstream outcomes
Skills and Experience
4 - 6 years’ experience as a Business Analyst, Solutions Analyst, or Data Analyst in financial markets, capital markets, or a trading-floor-adjacent environment.
Project-delivery mindset - comfortable taking an objective and working independently through analysis, drafting and stakeholder follow-up to a reviewable draft, rather than executing a detailed task list or running a steady-state process.
An eye for improvement - naturally looks for inefficiency, duplication, and manual effort in how data and controls are handled, and proposes simpler ways to do things.
Track record of producing clear, structured specifications and contributing ideas in collaborative design settings.
Strong SQL; comfortable reading and reasoning about schemas, primary keys, joins, and nullability.
Specifies data contracts and DQ controls fluently in structured form - what matters is the rigour of structured thinking.
Good delivery hygiene - keeps plans current, tracks dependencies, escalates blockers early; comfortable using JIRA / Confluence or equivalent.
Experience working closely with data, technology, and surveillance stakeholders, supporting data onboarding, control implementation, testing, and operationalisation.
Fluent written and spoken English, with strong capability in producing clear and structured specifications as a primary output of the role.
Working knowledge of one or more asset classes (e.g. equities, FX, fixed income, OTC derivatives).
Experience within a trade surveillance or compliance function is advantageous but not required.
About Standard Chartered
We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us.
Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion.
Together we:
- Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do
- Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well
- Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term
What we offer
In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing.
Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations.
Flexible working options based around home and office locations, with flexible working patterns.
Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits
A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning.
Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.
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Job Skills
Key Skills
Data Analysis
Data Governance
Data Control
Delivery of Projects
Data Quality
Business Analysis
Relevant Skills
Business Process Improvement
Control Systems Design
Detailed Planning
Knowledge of Finance
Requirements Analysis
Surveillance Data
JIRA
Business Requirements
Confluence