Data Steward
London / £40000 - £50000 annum
INFO
£40000 - £50000
LOCATION
London
Permanent
Data Steward
Salary: £50,000
WFH: 4 days a week in office (Charing Cross/Picadilly Circus)
We're hiring on behalf of our client, a leading global private markets investment firm, for a newly created Financial Data Steward role within their Portfolio Analytics team. This position is based in London and plays a vital part in shaping the firm's approach to financial data governance, quality, and reporting.
Role overview:
As Financial Data Steward, you will champion best practices in data integrity across finance workstreams, ensuring that fund, portfolio, and investor-level datasets are complete, accurate, and reliable. You'll lead data quality initiatives, build internal dashboards, and work across teams to embed a culture of "right-first-time" data management.
Key responsibilities:
- Reconcile data across internal systems (GL, portfolio monitoring, CRM) and third-party sources (fund admins, custodians, vendors)
- Maintain the Finance Data Catalogue - defining ownership, lineage, and golden sources
- Build Power BI dashboards to track data quality metrics, reconciliation exceptions, and performance insights
- Define and enforce data quality rules to improve accuracy, completeness, and timeliness
- Provide training, documentation, and day-to-day support to enhance data literacy across Finance
About you:
- Experience reconciling complex financial datasets from internal and external sources
- Skilled in defining and monitoring data quality using KPIs and automated controls
- Proficient in Excel and Power BI for analysis and reporting
- Strong communication skills and confidence working across business, technical, and analytics teams
- Detail-oriented with sound analytical judgement and a proactive mindset
This is a great opportunity to build out data foundations and governance processes that directly support investment decision-making and operational excellence.
To find out more or apply, please get in touch.
#DataSteward #DataGovernance #FinanceData #PowerBI #PrivateMarkets #DataQuality #Hiring #LondonJobs #InvestmentData
CONTACT
Cormac Fagan
Senior Recruitment Consultant
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Senior Data Scientist
Location: Hybrid (London)
Type: Full-time
Startup: A fast-growing AI startup
We’re workan ambitious, early-stage startup building innovative AI solutions that help businesses unlock insights, automate processes, and drive smarter decisions. Backed by leading investors and fueled by a passion for solving real-world problems, we’re creating technology that makes AI accessible and impactful – and we want an experienced Senior Data Scientist to join our journey.
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Mentor and guide junior data scientists and analysts.
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5+ years of experience in data science, machine learning, or a related field.
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Strong proficiency in Python (or R) and experience with ML frameworks like scikit-learn, TensorFlow, or PyTorch.
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Deep experience in building and deploying models at scale.
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Solid understanding of statistics, experimentation, and data storytelling.
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Experience working with cloud environments (AWS, GCP, or Azure).
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Ability to thrive in a startup environment – self-starter, adaptable, and collaborative.
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Competitive compensation, including meaningful equity.
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Remote-friendly with flexible working hours.
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Work on high-impact projects that apply AI to real-world problems.
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Learning budget for conferences, courses, and books.
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Supportive, innovative team culture that values curiosity and experimentation.
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London
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Senior Data Analyst – Contract
Outside IR35 | £400-£450 per day | 3-month initial term | Hybrid London (2-3 days on-site)
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Analyse client demand & respondent behaviour to spot revenue, margin and completion-rate gains.
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Build regression, clustering and causal models for pricing, yield and segmentation.
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Produce dashboards/BAU reports tracking incentive spend, survey health and profit drivers.
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Design & interpret A/B tests on incentives and matching logic; recommend refinements.
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Turn insights into pricing rules, contract tweaks and product changes alongside Commercial, Product and Engineering.
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3-5 yrs (Minimum) analytics in trading, marketplace, media or e-commerce settings.
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Strong SQL and Python for big-data wrangling & modelling.
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Solid grasp of statistics, pricing or yield optimisation.
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Clear, concise communicator who can translate numbers into action.
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Curious mindset-happy to reverse-engineer legacy logic and propose smarter approaches.
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London
£400 - £500
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Senior Data Scientist – Optimisation (Contract)
Outside IR35 | £400-450 per day | 3-month initial term | Hybrid London (2-3 days on-site)
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Model optimisation – refactor and improve existing matching/segmentation models; design objective functions that balance cost, speed and data quality.
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Experimentation – set up offline metrics and online A/B tests; analyse uplift and iterate quickly.
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Production delivery – build scalable pipelines in AWS SageMaker (moving to Azure ML); containerise code and hook into CI/CD.
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Monitoring & tuning – track drift, response quality and spend; implement automated retraining triggers.
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Collaboration – work with Data Engineering, Product and Ops teams to translate business constraints into mathematical formulations.
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Morning stand-up: align on performance targets and new constraints.
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Data dive: explore panel behaviour in Python/SQL, craft new features.
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Modelling sprint: run hyper-parameter sweeps or explore heuristic/greedy and MIP/SAT approaches.
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Deployment: ship a model as a container, update an Airflow (or Azure Data Factory) job.
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Review: inspect dashboards, compare control vs. treatment, plan next experiment.
Tech stack
Python (pandas, NumPy, scikit-learn, PyTorch/TensorFlow)
SQL (Redshift, Snowflake or similar)
AWS SageMaker → Azure ML migration, with Docker, Git, Terraform, Airflow / ADF
Optional extras: Spark, Databricks, Kubernetes.
What you’ll bring
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3-5+ years building optimisation or recommendation systems at scale.
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Strong grasp of mathematical optimisation (e.g., linear/integer programming, meta-heuristics) as well as ML.
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Hands-on cloud ML experience (AWS or Azure).
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Proven track record turning prototypes into reliable production services.
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Clear communication and documentation habits.
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Product Manager
London
£55000 - £62000
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PermanentLondon
To Apply for this Job Click Here
Product Manager – Operations / Supply Chain – London (Hybrid)
Operations Tools | Fulfilment | Inventory | Automation | Supply Chain Tech
Salary – £55,000 – £62,000
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Key experience required:
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Experience working on backend/ops/supply chain tools within a physical product business
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Strong understanding of service design, UX, APIs, and data
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Comfortable working on MVPs and iterations in a scale-up environment
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Able to work cross-functionally across product, ops, data and engineering
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Confident working independently and bringing clarity to ambiguous challenges
You must be based in the UK and open to working 2+ days a week in their South London HQ.
To Apply for this Job Click Here
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