To Apply for this Job Click Here

Credit Strategy Analyst

Up to £60,000

Hybrid

London

The Company

I am hiring a Credit Strategy Analyst leading dynamic FinTech based in London. Within this role you will be bringing your credit strategy development experience to drive business growth and profitability using tools like SQL and Python for business lending

The Role

As a Credit Strategy Analyst, you will be:

• Developing new insights to drive optimisation of credit risk strategies.
• Detecting new trends on customer data to develop wider business strategies
• Developing credit risk strategies for acquisitions and underwriting for business loans
• Working with senior leadership to implement/improve strategy.
• Using SQL and Python daily for strategy development

Your skills and experience

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

• Experience as a credit risk strategy analyst
• Experience working in a fast-paced environment
• Experience developing credit risk strategies for Acquisitions, Existing Customer, and/or Collections Strategy
• Experience working with SQL and Python
• STEM Degree from a top university

Benefits

Up to £60,000 + Benefits

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Credit Strategy Analyst

Up to £80,000

Hybrid

London

The Company

I am hiring a Senior Credit Strategy Analyst leading dynamic FinTech based in London. Within this role you will be bringing your credit strategy development experience to drive business growth and profitability using tools like SQL and Python for business lending

The Role

As a Senior Credit Strategy Analyst, you will be:

• Developing new insights to drive optimisation of credit risk strategies.
• Detecting new trends on customer data to develop wider business strategies
• Developing credit risk strategies for acquisitions and underwriting for business loans
• Working with senior leadership to implement/improve strategy.
• Using SQL and Python daily for strategy development

Your skills and experience

To be successful as a Senior Credit Strategy Analyst, you will need:

• Experience as a credit risk strategy analyst
• Experience working in a fast-paced environment
• Experience developing credit risk strategies for Acquisitions, Existing Customer, and/or Collections Strategy
• Experience working with SQL and Python
• STEM Degree from a top university

Benefits

Up to £80,000 + Benefits

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Collections Manager

Up to £100,000

Remote

The Company

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

The Role

As the Senior Collections Manager, you will be:

• Owning, improving, and developing new collections strategies for the business
• Managing/working closely the customer service team to make improvements for the collection’s strategy
• Building 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 Senior Collections Manager, 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 to improve processes for collections
• Experience managing a collections operations team

Benefits

Up to £100,000 + Benefits

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Fraud Analyst

Up to £55,000

Hybrid

West Midlands

Company:

One of our fintech banking clients is looking for a strong Senior Fraud Strategy Analyst to join their fraud analytics function where you will be developing fraud strategies and providing insights on fraud performance using tools like SAS, SQL, and Python.

Responsibilities:

As a Senior Fraud Strategy Analyst, you will be responsible for:

• Crafting and implementing effective fraud strategies to mitigate risks and protect different clients and customers
• Utilizing SAS, SQL, and Python to analyse data, identify fraud patterns, and develop new fraud rules.
• Managing and mitigating various types of fraud with a focus on application fraud.
• Collaborating with multiple vendors to enhance fraud prevention measures and ensure seamless integration.
• Leveraging your experience in the UK banking sector to align strategies with regulatory requirements and industry best practices.

Key Requirements:

• Extensive experience in developing comprehensive fraud strategies.
• Proficiency in SAS, SQL, and/or Python
• In-depth knowledge of different types of frauds, ideally with experience in Application Fraud.
• Experience working with different fraud systems (Ideally Hunter & Cifas)

Salary: Up to £55,000 Per Year + Strong Benefits Package

To Apply for this Job Click Here

To Apply for this Job Click Here

Fraud Strategy Analyst

Up to £40,000

Hybrid

West Midlands

Company:

One of our fintech banking clients is looking for a strong Fraud Strategy Analyst to join their fraud analytics function where you will be developing fraud strategies and providing insights on fraud performance using tools like SAS, SQL, and Python.

Responsibilities:

As a Fraud Strategy Analyst, you will be responsible for:

• Crafting and implementing effective fraud strategies to mitigate risks and protect different clients and customers
• Utilizing SAS, SQL, and Python to analyse data, identify fraud patterns, and develop new fraud rules.
• Managing and mitigating various types of fraud with a focus on application fraud.
• Collaborating with multiple vendors to enhance fraud prevention measures and ensure seamless integration.
• Leveraging your experience in the UK banking sector to align strategies with regulatory requirements and industry best practices.

Key Requirements:

• Extensive experience in developing comprehensive fraud strategies.
• Proficiency in SAS, SQL, and/or Python
• In-depth knowledge of different types of frauds, ideally with experience in Application Fraud.
• Experience working with different fraud systems (Ideally Hunter & Cifas)

Salary: Up to £40,000 Per Year + Strong Benefits Package

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Credit Risk Analyst

Up to £50,000

Hybrid

Greater London

The Company

I am hiring a Senior Credit Risk Analyst leading dynamic FinTech based in London. Within this role you will be bringing your credit strategy and scorecard development experience to drive business growth and profitability using tools like SQL and Python daily.

The Role

As a Senior Credit Risk Analyst, you will be:

• Developing new insights to drive optimisation of credit risk strategies
• Detecting new trends on customer data to develop wider business strategies
• Developing credit risk strategies for acquisitions and collections
• Developing new and updating existing credit risk scorecards
• Working with senior leadership to implement/improve strategy
• Using SQL and Python daily for strategy development

Your skills and experience

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

• Experience as a credit risk strategy analyst in unsecured lending
• Experience working in a fast-paced environment
• Experience developing credit risk strategies for Acquisitions and/or experience developing credit risk scorecards
• Experience working with SQL and Python

Benefits

Up to £50,000 + Benefits

To Apply for this Job Click Here

To Apply for this Job Click Here

Forward Deployed Data Engineer
Soho, London – Hybrid (4 days onsite per week, flex to 3 later)
£45,000-£75,000 + equity + private medical

A growing B2B SaaS company is hiring a Forward Deployed Data Engineer (2-6 years’ experience) to work directly with enterprise clients, customising and delivering data-driven solutions. The role combines data engineering with light frontend work to help customers integrate and use the product effectively.

The role

You will:

• Customise and implement product solutions for enterprise clients
• Own delivery across multiple engagements
• Work directly with client stakeholders
• Use PySpark, Python and SQL for data engineering tasks
• Develop an understanding of the Strategy OS platform
• Support modelling and transformation work

What we’re looking for

• 2-6 years’ experience
• Proficient in PySpark, Python and SQL
• Client-facing delivery experience
• Able to work in a fast-paced environment
• STEM academics preferred

Nice to have:

• Snowflake, Databricks, dbt, BigQuery
• Palantir Foundry
• Experience in startups or niche data consultancies

Working pattern

• Soho office (WeWork)
• Four days onsite per week on average
• May flex to three days after initial period

Why join

• Client-facing variety and project ownership
• Early-stage environment
• Seed-funded and growing
• Enterprise clients and global sector exposure

To Apply for this Job Click Here

To Apply for this Job Click Here

eFX Software Engineer
London – Remote first (onsite twice per month)
£160,000 + bonus + 10% pension + 10% benefit funding + 30 days holiday

A leading financial institution is hiring an eFX Software Engineer to build and optimise high-performance trading systems within a low-latency e-trading environment. You’ll work as a senior technical contributor within the eFX engineering group, driving architectural decisions, evolving Java performance patterns, and shaping platform strategy at scale.

This role offers significant technical scope, direct impact, and the opportunity to influence system performance, design, and future direction across the e-trading stack.

The role

You will:

• Design and engineer fault-tolerant, high-performance Java systems
• Develop architectures achieving <40µs one-way latency
• Shape and evolve low-latency coding patterns (lock-free + low-GC)
• Solve complex trading and platform engineering challenges
• Contribute to platform strategy, architecture, and roadmap direction
• Collaborate across pricing, risk, connectivity, distribution, and quant teams

What we’re looking for

• Deep expertise in high-performance Java
• Strong low-latency optimisation experience (<1ms, ideally <100µs)
• Proven experience tuning hardware + JVM performance
• Lock-free programming + low-GC techniques
• Ability to design, lead, and innovate technically
• Backgrounds of interest: eFX, trading, betting, exchange, market-making

Nice to have:

• Experience with IPC, Chronicle Queue, RingBuffers
• Algo, pricing, or risk engineering exposure
• Market structure + regulatory awareness (e.g. MiFID II)

Applicants must demonstrate ownership, design decision-making, and impact in previous roles. Senior IC position – no line management.

Why join

• High-impact technical role in a global e-trading environment
• Complex performance engineering + architecture challenges
• Cutting-edge Java optimisation + latency-driven systems
• Strong technical peers across engineering + quant teams
• Remote first – onsite only twice per month

Benefits

• £160k base + bonus consideration
• 10% pension
• 10% benefit funding
• 30 days holiday
• Sponsorship available

To Apply for this Job Click Here

To Apply for this Job Click Here

Job Opportunity: Principal AI Engineer | Remote or Hybrid

Location: Remote or Hybrid (HQ in [City])

Role Type: Full-Time

Seniority: Principal / Expert

Start Date: ASAP

About the Company

The company is expanding its AI capabilities to build innovative, intelligent systems that power next-generation products and experiences. With an ambitious roadmap centered on generative AI, advanced machine learning, and large-scale automation, they are seeking a highly experienced Principal AI Engineer to lead technical strategy, guide system architecture, and drive innovation across the organization.

This is a pivotal role that will shape the long-term AI direction, influence key engineering decisions, and deliver solutions that have significant impact on the company’s technical evolution.

The Role

The Principal AI Engineer will act as a hands-on technical leader, responsible for designing, developing, and scaling advanced AI systems. The role involves high-level architectural thinking, applied research, and deep technical execution, including oversight of model development, evaluation, deployment, and optimization.

The successful candidate will collaborate with engineering, data, and product stakeholders to define the AI vision while also mentoring teams and setting engineering standards that enable excellence and innovation.

Key Responsibilities

• Lead the design and development of complex AI systems, including generative AI models, LLM-powered applications, and large-scale machine learning infrastructures.
• Define and drive the company’s AI technical strategy, ensuring alignment with business goals.
• Oversee model experimentation, fine-tuning, evaluation, and deployment into production environments.
• Set best practices for ML engineering, model lifecycle management, security, and governance.
• Provide expert guidance on architecture decisions across data, ML, and application layers.
• Collaborate with cross-functional teams to identify high-impact AI opportunities and translate them into technical solutions.
• Mentor and support engineering teams, elevating technical capabilities across the organization.
• Stay ahead of industry developments, research breakthroughs, and emerging AI frameworks.

Required Experience

• 7+ years of experience in AI/ML engineering, with a strong track record of delivering production-grade AI systems.
• Deep expertise in Python and modern ML frameworks (PyTorch, TensorFlow, JAX).
• Extensive hands-on experience working with large language models, generative AI architectures, and related tooling.
• Strong knowledge of model serving, orchestration, distributed training, and scalable inference systems.
• Experience architecting and deploying AI solutions on cloud platforms (AWS/GCP/Azure).
• Proven ability to lead complex AI initiatives, influence technical direction, and guide multidisciplinary teams.
• Strong understanding of data engineering, MLOps, model governance, and ML lifecycle best practices.
• Ability to thrive in a fast-paced environment and navigate ambiguous, greenfield challenges.

What the Company Offers

• A strategic role with significant influence over the AI roadmap and technical foundations.
• Competitive salary, equity, and comprehensive benefits.
• Flexible remote or hybrid working environment.
• Opportunities to work with state-of-the-art AI technologies and contribute to groundbreaking products.
• A culture that values innovation, autonomy, and continuous learning.

To Apply for this Job Click Here

To Apply for this Job Click Here

Associate Director of Marketing – North America

Permanent | Remote (East Coast preferred)
Salary: $135,000 + 20% Bonus

The Opportunity

We are partnering with a global education-focused organization to appoint an Associate Director of Marketing to lead the North American marketing agenda across the U.S. and Canada.

This is a senior, hands-on leadership role responsible for shaping strategy and driving execution across the full marketing mix, including digital, CRM, content, events, and partner-facing campaigns. Reporting into a global marketing leader, you will play a critical role in delivering measurable growth across student recruitment, partner engagement, and institutional visibility

.

Key Responsibilities

North America Marketing Leadership

• Own the regional marketing strategy, annual planning, budget management, and performance outcomes.
• Translate market insight into clear, actionable initiatives aligned to commercial goals.
• Act as the senior marketing voice for North America in cross-functional leadership forums.

End-to-End Campaign Delivery

• Lead the development, execution, and optimization of integrated campaigns across paid media, CRM, content, social, events, and partnerships.
• Continuously improve the student journey to drive engagement, conversion, and yield.
• Champion experimentation and rapid testing to accelerate performance improvements.

Partner & Agent Marketing

• Design and deliver a compelling regional partner/agent marketing strategy.
• Create toolkits, playbooks, and campaigns that strengthen engagement and market presence.
• Work closely with recruitment stakeholders to align messaging and priorities.

Product & Go-To-Market Marketing

• Oversee regional product marketing, including value propositions, proof points, and launch strategies.
• Lead go-to-market activity for new programs, partnerships, and offerings.
• Embed customer insight, data, and competitive analysis into all messaging.

Team Leadership & Capability Building

• Lead, coach, and develop a high-performing regional marketing team.
• Encourage growth in analytics, agile delivery, and GenAI-enabled marketing workflows.
• Foster a culture of accountability, curiosity, and innovation.

Brand & Localization

• Balance global brand consistency with effective regional localization.
• Oversee content creation tailored to international audiences, with a strong focus on outcomes and storytelling.

Performance & Commercial Alignment

• Own reporting across ROI, funnel performance, lead quality, and conversion metrics.
• Use insight to recommend strategic and tactical changes that support revenue and enrollment targets.
• Align marketing activity closely with regional commercial forecasts.

Required Experience

• Proven experience leading regional or multi-market marketing strategy and execution.
• Strong background delivering end-to-end campaigns across digital, CRM, and offline channels.
• Highly analytical, with experience using data, experimentation, and dashboards to drive decisions.
• Experience within higher education, international education, or a comparable complex B2C/B2B environment.
• Demonstrated people leadership and cross-functional stakeholder management skills.
• Strong storytelling and value proposition development capability.

Desirable

• Experience with partner, agent, or B2B marketing models.
• Familiarity with marketing automation and GenAI-enabled content workflows.
• Comfortable operating in evolving, matrixed organizations.

.

Working Environment

This is a remote-first role (East Coast preferred) within a globally distributed organization. You’ll collaborate with international teams across multiple regions and cultures, working closely with commercial and recruitment stakeholders to drive impact in a mission-led environment.

Interested?

This is a confidential search managed by Harnham. If you’d like to explore the opportunity, apply below or reach out directly for a discreet conversation.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Machine Learning Engineer – MLOps

Series A Adtech

REMOTE

$190,000-210,000 base salary + equity

THE COMPANY

Harnham is partnering with a unicorn AI adtech that builds AI platforms which enhance performance by delivering real-time relevance at critical points in the customer journey. Using intelligent systems and a global digital commerce framework, the platform powers high-volume interactions between millions of users and major brands. Following a significant valuation increase in early 2025, they are expanding rapidly across international markets, particularly in AI. The AI engineering team builds scalable, data-driven solutions that personalize user experiences and equip marketers with actionable insights, all while working with large-scale infrastructure and diverse technologies.

THE ROLE

• You will be responsible for machine learning model deployment and scalability for the company’s AI platform
• You will report directly to senior leadership and work closely on technical direction
• Own AI infrastructure and quickly build into production, particularly focusing on novel AI and LLM applications
• You will implement and design code and build out to production using various machine learning and LLM techniques, owning machine learning workflow operations and distributed systems
• Own CI/CD pipelines for MLOps / LLMOps
• 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 Machine Learning Engineer – MLOps will likely have the following skills and experience:

• 5+ years of commercial experience preferred with a focus on deploying and scaling machine learning 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 AI platforms with large datasets
• History of working with and managing real-time AI applications in production settings
• Fluency with low-latency distributed systems is preferred
• Cloud experience in AWS, Azure or GCP
• DevOps experience with CI/CD pipelines required; Databricks and GitHub Actions preferred
• History of working on models from concept to production / end-to-end / 0-1
• Experience in settings wearing multiple hats
• Domain experience in adtech or similar a plus
• History of partnering with non-technical stakeholders required
• Experience owning projects directly preferred
• BS or MS degree in Computer Science, Statistics, Applied Mathematics, Computer Engineering or similar

THE BENEFITS

A competitive base salary of $190,000-210,000 + 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 | MLOps | LLMOps | Adtech | Advertising | Unicorn | Startup | Deployment | Production | LLMs | LLM | Large Language Models | GenAI | Gen AI | Generative AI | Distributed Systems | Low Latency | Real-time | Scale | Scalability | Infrastructure | Architecture | CI/CD | Continuous Integration | Continuous Deployment | Real Time Bidding | Auction | Recommendation Engine | Recommender System | Personalization | Bespoke | Target Audience

To Apply for this Job Click Here