financial services DATA RECRUITMENT

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Senior CRM Analyst – Watford Junction (Hybrid, 3 days in office)
Up to £60,000 + 10% bonus
Permanent

We’re hiring a Senior CRM Analyst to join a growing Decisioning & Analytics team within a leading entertainment brand undergoing a major digital transformation. With one of the largest marketing spends in the UK, this is a chance to shape CRM strategy, work on exciting campaigns, and play a key role in personalisation and targeting.

What You’ll Do:

– Build and segment audiences for multi-channel campaigns (email, app, web, push, paid social, personalisation)
– Analyse campaign performance to measure impact, ROI, and engagement
– Develop dashboards and reports in Power BI to track KPIs and optimise performance
– Partner with operations teams to deliver end-to-end campaigns
– Contribute to automation and personalisation strategies
– Support new product launches and high-profile campaign streams
– Be part of CRM transformation projects, including new platforms and advanced analytics

Tech & Tools:

– SQL (core skill, essential)
– Salesforce Marketing Cloud (SFMC) – or similar CRM platforms
– Power BI for reporting and dashboards

What’s In It For You:

– Exposure to one of the UK’s biggest consumer brands
– Join during an exciting period of CRM innovation
– Work across multiple channels and campaign types
– Be part of a collaborative, growing analytics function (6-person team)
– Competitive salary + 10% bonus

Who We’re Looking For:

– 3-5+ years in CRM, marketing analytics, or decisioning roles
– Strong SQL skills (non-negotiable)
– Experience with Salesforce Marketing Cloud or another CRM platform
– Comfortable analysing campaigns and providing recommendations
– Background in consumer-facing industries (retail, FMCG, entertainment) a plus

Interested? Apply now with your CV or drop me a message to learn more.

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Head of Collections

Up to £120,000

Hybrid

London

The Company

I am hiring a Head of Collections for a top consumer finance FinTech’s based in London. Here you will spearhead the Collections Strategy, Collections Analytics, and the Collections Operations for the business using your strong background in collections to increase the businesses profitability.

The Role

As a Head of Collections, you will be:

• Owning, improving, and developing new collections strategies for the business using SQL and Python
• Managing/working closely the customer service team to make improvements for the collection’s strategy
• Working closely with the Data Engineering to build out technical solutions to improve the collections strategies and processes
• Presenting to senior stakeholders both internally and externally
• Partnering with 3rd party vendors to support the business with collections systems and tools
• Being the voice for the business for collections and working with the acquisitions team to provide insights on collections

Your skills and experience

To be successful as a Head of Collections, you will need:

• Experience as a credit risk strategy manager/lead in collections
• Experience working in a fast-paced environment
• Experience developing credit risk strategies for collections
• Strong experience using Data and experience using AI/implementing AI processes for collections
• Experience working with SQL and Python
• STEM Degree from a top university

Benefits

• Up to £120,000 + Benefits

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Senior NLP Software Engineer

New York, New York

$200,000-220,000 base salary + equity + benefits

Harnham is partnered with a fintech startup that is disrupting a key area of financial services. They are building out an LLM platform that will revolutionize how certain financial tasks are carried out in the cloud. This will be a senior-level NLP Engineer in the business and lead all LLM projects from end-to-end.

THE ROLE

• You will be responsible for end-to-end machine learning model development and deployment for the company’s AI platform
• You will report directly to senior leadership and work closely on technical direction
• Own development of new PoCs and quickly build into production, particularly focusing on novel NLP and LLM applications
• You will implement and design code and build out to production using various machine learning and LLM techniques, owning machine learning infrastructure
• You will play an integral role of building out the AI team and scaling out its product
• Act as a thought leader role for AI across the business

YOUR SKILLS AND EXPERIENCE

The successful Senior NLP Software Engineer will likely have the following skills and experience:

• 5+ years of commercial experience preferred with a focus on building and deploying natural language and LLM models
• Experience working in a scaling startup is highly preferred (having seen multiple funding rounds ideally)
• Expertise in Python (TensorFlow, PyTorch) for production-grade work
• Commercial experience building novel NLP and LLM AI platforms with large datasets
• Cloud experience in AWS, Azure or GCP preferred
• History of working on models from concept to production / end-to-end / 0-1
• Experience in settings wearing multiple hats
• Domain experience in financial services, investment or accounting a plus
• History of partnering with non-technical stakeholders required
• Experience as a player/coach or manager for AI teams preferred
• BS or MS degree in Computer Science, Statistics, Applied Mathematics, Computer Engineering or similar

THE BENEFITS

A competitive base salary of $200,000-220,000 + benefits + equity

HOW TO APPLY

Please register your interest by sending your résumé to Tim Jonas via the Apply link on this page.

KEYWORDS

Machine Learning | AI | Artificial Intelligence | Technology | Fintech | Financial Services | Startup | Deployment | Production | LLMs | LLM | Large Language Models | GenAI | Gen AI | Generative AI | NLP | NLU | NLG | Natural Language Processing | Infrastructure | Architecture

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Lead Data Scientist
London
Private Equity
£140,000 – £150,000 + benefits

Harnham is working with a tech firm in the Private Equity space and hiring a few positions across Data Science, Machine Learning Engineering and Data Engineering.

The company have an impressive founding team and hold a strong reputation within the Data & AI and Private Equity space.

They partner with some leading investment firms in deploying AI and machine learning for the sole purpose of creating value. Often working in ambiguous and greenfield environments, you will collaborate with a strong team of technical people across multiple industries to solve complex commercial and data problems, delivering key data science initiatives that drive performance and revenue.

In this role you will lead the technical teams that deliver value.

The Role – Lead Data Scientist

You will be:

• Working on multiple engagements within portfolio companies across various different industry sectors
• Delivering key Data Science / AI initiatives that drive value for customers.
• Shaping how projects are delivered, driving performance and working closely with C-level execs.
• Providing technical leadership across the business, with a focus on end-to-end machine learning solutions.

Experience – Lead Data Scientist

You will have:

• An M.Sc. or Ph.D. in: Machine Learning, Statistics, Applied Mathematics, Computer Science, Engineering, etc.
• Experience using Python is a must
• Knowledge of cloud technologies important (agnostic)
• A strong knowledge of statistical/machine learning models applied to real-world problems
• A keen interest in problem-solving and using scalable machine learning to solve data-related problems is important
• A focus on using data science to create value is essential
• A strong interest in working across a variety of different industry sectors and problem areas.

BENEFITS

Up to £150,000 base salary
Competitive bonus
The opportunity to join a world-class and growing team

HOW TO APPLY

Please register your interest by sending your CV via the Apply link on this page. For further details or to enquire about other roles, please contact Nick Mandella at Harnham.

KEYWORDS

Python, SQL, AWS, GCP, Azure, Cloud, Databricks, Docker, Kubernetes, CI/CD, Terraform, Pyspark, Spark, Kafka, machine learning, statistics, Data Science, Data Scientist, Big Data, Artificial Intelligence, private equity, finance.

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Role: Full Stack Engineer
Salary: £80,000-£90,000 + Equity
WFH: Fully Remote

Overview

Our client is a fast-growing RegTech startup using AI to transform how financial institutions approach AML and compliance workflows. They’re hiring Full Stack Engineers to join a compact, fast-moving team working on two flagship products-an intelligent API for AML decision-making and an AI-driven report generation platform simulating the work of a financial crime analyst.

The company is venture-backed, with an active client base across fintechs and ambitions to break into large-scale enterprise. This is a unique opportunity to have end-to-end impact-designing, building, and deploying features in an environment where engineering best practices are respected and expected.

Key Responsibilities

• Design and build scalable backend and frontend components for core products
• Help establish technical standards, best practices, and delivery processes across the engineering team
• Drive feature development from concept to deployment, working autonomously or in small teams
• Collaborate with engineering leadership on technical direction and architectural decisions
• Work on complex problems involving data aggregation, report generation, and AI agent integration
• Contribute to product evolution based on customer feedback and internal roadmap

Ideal Candidate

• 5-10 years’ experience delivering production software in fast-paced environments
• Comfortable working across backend and frontend (slight backend lean preferred)
• Strong ownership mindset-able to ship features independently (build + deploy)
• Experience managing multiple workstreams in low-management settings
• Product-focused engineer who thrives in flat, startup-style team structures
• Good grasp of engineering best practices, code quality, and system design

Tech Stack

• Python
• JavaScript / TypeScript
• SQL
• AWS (Cloud Infrastructure)

Interview Process

1. Technical Discussion (30-60 mins)
2. Collaborative Co-working Session (60-90 mins) – Solve a real-world problem together via screen share

Both stages are conducted remotely.

Additional Details

• Urgent hire
• Equity included
• Sponsorship not available at this time

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Director of Fraud Analytics

Up to £130,000

London

Hybrid

The Company

This is an exciting opportunity to join a leading global business and drive its fraud strategy and analytics function. You’ll take charge of a high-performing fraud team, expand the function worldwide, on-board new vendors, and shape the company’s long-term fraud prevention road-map.

The Role

As a Director of Fraud Analytics, you will be:

• Leading the fraud strategy and fraud analytics function for the global business
• Build out strategies and controls for fraud, financial crime, and spams
• Leading a team to develop fraud prevention models and strategies
• Setting out the fraud prevention roadmap in the short and long term
• Using SQL and Python daily for analysis and fraud rule development
• Managing, hiring, and building out the fraud function on top of an existing strong team

Your skills and experience

To be successful as a Director of Fraud Analytics, you will need:

• Experience managing a Fraud Analytics team
• Strong experience developing Fraud strategies for Payments Fraud
• Strong working experience coding in SQL and Python
• Experience working for a payment business and/or fintech
• STEM Degree from a top university

Salary + Benefits

Up to £130,000 + Bonus + Equity

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Machine Learning Engineer
London
£100,000-£150,000

An elite, high-growth investment firm with a global presence is looking to expand its Machine Learning team in London. With backing from major institutional capital and a strong track record in global macro strategies, the firm is scaling its data and AI capabilities to support ambitious growth plans.

This is a rare opportunity to take full ownership of the ML lifecycle in a highly selective, performance-driven environment. You’ll be joining a lean, technically advanced team working on some of the most complex forecasting and signal generation challenges in finance.

What You’ll Do:

• Design and implement end-to-end ML workflows: data ingestion, model development, and deployment
• Automate and optimize large-scale data pipelines
• Develop forecasting and signal processing models tailored to macroeconomic data
• Collaborate closely with investment professionals and data scientists
• Contribute to the build-out of scalable ML infrastructure

What We’re Looking For:

• Proven commercial experience doing hands-on ML, ideally in a fast-paced or startup environment
• Proven track record working across the full ML lifecycle
• Strong coding and data engineering skills
• Background in finance, trading, or macroeconomic forecasting is essential
• Experience deploying models into production environments

Why Join:

• Exceptional autonomy and impact in a high-performing, well-capitalised firm
• Exposure to cutting-edge macro trading strategies and unique data sets
• Collaborative, entrepreneurial culture with a strong technical foundation
• Significant growth potential as the firm continues to scale globally

This role is ideal for someone looking to apply their ML skills in a high-stakes, high-reward environment, where your work will directly influence investment decisions.

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MANAGER DIGITAL ANALYTICS
LILLE (59)
50-60K EUR

Cette acteur majeure du ecommerce en pleine croissance recherche son manager Digital Analytics.

VOTRE ROLE

• Définir et piloter la stratégie Digital Analytics pour optimiser parcours, performance et personnalisation.
• Suivre et améliorer la performance de l’application mobile (rétention, engagement, dashboards).
• Garantir la qualité, la fiabilité et la conformité des données web et mobile (RGPD, sécurité).
• Encadrer et développer une équipe de 2 à 5 experts, en diffusant la culture data-driven.
• Contribuer aux projets digitaux et à l’évolution de la stack analytics (outils, tracking, dashboards).

VOTRE PROFIL

• Formation Bac +5 (école d’ingénieur, commerce ou université) avec spécialisation data, digital ou marketing analytique.
• 8 à 10 ans d’expérience en Digital Analytics, incluant web et mobile, idéalement en e-commerce ou retail.
• Expertise dans le pilotage de la performance des applications mobiles (tracking, rétention, optimisation des parcours).
• Maîtrise des outils Digital Analytics (Appsflyer, Piano Analytics, Act Commander) et des outils de visualisation (Power BI ou équivalent).
• Connaissances en SQL, Python et environnements cloud.
• Expérience confirmée en management d’équipe et en gestion de projets analytics transverses.

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Backend Engineer (Python/Django)

Hybrid (Sheffield) – £60,000

We are working with a high-growth fintech scale-up who are looking to bring on a Backend Engineer into their growing data team. They are innovating rapidly and looking for top engineering talent to support their next phase of growth.

As a Backend Engineer, you’ll play a key role in building and scaling the company’s core payment infrastructure.

Responsibilities

• Design, build, and maintain scalable backend services and APIs
• Write production-quality Python and Django code with a focus on performance and maintainability
• Work with the Django ORM at a deep level to ensure efficient data operations
• Collaborate in agile sprints with product and engineering teams
• Debug, diagnose, and resolve issues across the platform
• Contribute to backend infrastructure, deployment pipelines, and monitoring/logging
• Mentor junior engineers and promote best practices

Tech Stack

Essential:

• Python
• Django (ORM)
• Broader backend experience
• SQL expertise
• Familiarity with CI/CD and scalable systems

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CRM Marketing Executive – Financial Services
Location: Midlands (2 days per week in office, Solihull area)
Salary: £38,000 (perm)

The Company
We’re partnered with a well-established UK financial services organisation undergoing a modernisation of its marketing and customer engagement capability. Following a recent restructure creating channel specialisms, the team is building out a new CRM function to accelerate personalised, data-driven communications across multiple brands-including a recently launched savings app. You’ll join a small, agile team with the mandate to scale campaigns, automate journeys and drive measurable uplift in retention and product adoption.

The Role
This is a hands-on execution role working alongside an experienced CRM Manager. You’ll build and optimise customer journeys, launch and iterate campaigns, and help the team get more value from its marketing automation platform (Adobe Journey Optimizer or similar). If you enjoy owning the details-lists, segments, workflows, QA, reporting-while seeing tangible impact on customer outcomes, this is for you.

Key Responsibilities
* Build, launch and QA CRM campaigns across email/in-app/push within the journey tool.
* Create and optimise multi-step customer journeys (onboarding, nurture, cross-sell, win-back).
* Support segmentation and audience builds; maintain lists, suppressions and data hygiene.
* Partner with the CRM Manager on briefs, calendars, test plans and channel best practice.
* Run A/B and multivariate tests (subject, content, timing, cadence); document learnings.
* Track performance in platform dashboards; report on KPIs (opens, CTR, CVR, churn, ROI) and next actions.
* Contribute to a growing library of templates, components and re-usable automations.
* Collaborate with Design, Product, Data and Compliance to ship campaigns safely and on time.
* Help scale from ~a handful of existing automations to a robust journey portfolio.

What You’ll Bring
* 1-2+ years’ hands-on CRM/Email/Lifecycle experience (campaigns & journeys) in any sector.
* Practical knowledge of a major platform: Adobe Journey Optimizer/Adobe Campaign, Salesforce Marketing Cloud, HubSpot, Braze, Iterable, Klaviyo or similar.
* Comfortable building workflows, audiences and triggers; strong attention to detail and QA.
* Basic grasp of segmentation and performance metrics; confident turning data into next steps.
* Working knowledge of Power BI/Looker/Tableau or platform analytics is a plus (not essential).
* Nice to have: push/in-app experience, basic HTML for email, and/or familiarity with SQL.
* Mindset: proactive, organised, and happy operating in a lean two-person team.

Why Apply
* Impact: immediate ownership in a small, specialist team where your work is visible.
* Growth: scale a new function, expand a campaign suite and shape ways of working.
* Variety: mix of BAU comms and greenfield journeys for a new consumer app.
* Support: clear feedback SLAs and a manager focused on strategy who’ll unblock delivery.
* Flexibility: hybrid model with 2 office days per week in the Solihull area.

Working Pattern
Full-time, Monday-Friday. Hybrid: minimum two days per week in the Solihull office (fixed team days).

How to Apply
Interested? Send your CV to Mohammed Buhariwala (Harnham) via the Apply link on this page and include a brief note on your recent CRM platform experience and the most complex journey you’ve built.

Keywords
CRM Marketing Executive, CRM Specialist, Email Marketing, Lifecycle Marketing, Retention, Marketing Automation, Customer Journeys, Workflows, Segmentation, Adobe Journey Optimizer, Salesforce Marketing Cloud, HubSpot, Braze, Power BI, SQL, Midlands, Solihull, UK Jobs

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MID-LEVEL BACKEND ENGINEER

UP TO £60,000

HYBRID -Sheffield

Want to play a pivotal role in building scalable backend systems for a fast-scaling fintech, while being the first UK Backend hire in a growing team?

THE COMPANY:

I’m working with a rapidly scaling fintech operating across the UK and international markets. They provide innovative finance solutions that make essential services more affordable for consumers. The business has seen huge growth over the past few years, with an established engineering function overseas and now a strong focus on building resilience and scale in the UK. This role is the first UK-based Backend Engineer, with plans to expand further.

THE ROLE:

You’ll join a collaborative engineering team working across both the UK and international offices, building consumer-facing applications and mission-critical payment infrastructure. Projects span payment orchestration, platform integrations, product scaling, and new AI-driven features.

Key responsibilities include:

• Designing, building and maintaining backend services & APIs
• Writing production-quality Python/Django code (with strong Django ORM focus)
• Building and maintaining payments infrastructure
• Diagnosing, debugging and optimising system performance
• Supporting deployment pipelines, monitoring and logging
• Mentoring junior engineers where relevant
• Collaborating with cross-functional product and engineering teams

YOUR SKILLS AND EXPERIENCE:

A successful Backend Engineer will bring:

• Strong expertise with Python & Django (ORM essential)
• Experience in fintech, automation, or payments (preferred)
• Background in startups/scale-ups
• Solid grasp of Computer Science fundamentals (algorithms, data structures, systems)

THE BENEFITS:

You’ll receive a salary of up to £60,000 depending on experience, plus a competitive benefits package and the opportunity to lead a core business function.

HOW TO APPLY:

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

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Lead Credit Risk Analyst – (Scorecards)

Up to £55,000

Hybrid

Leeds

The Company

I am hiring a Lead Credit Risk Analyst for one of the biggest UK banks focused on providing unsecured and secured lending to their customers. In this role you will leading the scorecard modelling credit cards and loans using SAS and SQL daily in the role.

The Role

As a Lead Credit Risk Analyst, you will be:

• Developing credit risk application and behavioural scorecard models
• Using analytics skills to improve credit risk strategies
• Monitoring the performance or the scorecard and the portfolio performance.
• Working with and presenting to senior stakeholders daily within the role.
• Using SAS to develop credit risk models daily.

Your skills and experience:

To be successful as a Lead Credit Risk Analyst, you will need:

• Strong experience developing credit risk scorecards
• Experience as a credit risk using SAS or SQL daily for scorecard development
• Experience working in unsecured lending portfolios
• Experience working for a bank or in financial services
• Excellent communication skills

Benefits

Up to £55,000 + benefits package

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