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AI Engineer

Location: New York

Compensation: $180,000 – $220,000 base salary + Equity

About the Company:

We are working with a pioneering fintech, as systems face mounting strain from increased complexity and a shrinking talent pool, there’s a growing need for tools that can adapt, learn, and act independently. Their platform introduces AI agents designed to support experts by handling routine tasks, adapting to diverse workflows, and freeing up time for more strategic work. Already proving effective in demanding environments, it’s now scaling quickly, reshaping how foundational work gets done in a rapidly evolving economy.

THE ROLE

As an Applied AI/NLP Scientist, you will be central to developing and deploying advanced natural language processing solutions that tackle complex challenges in the legal-financial domain. Reporting to senior technical leadership, your work will span early-stage research through production-grade implementation.

Key Responsibilities:

• AI Model Innovation: Design and implement novel NLP and LLM architectures tailored for domain-specific applications across legal and financial datasets.
• Research to Production: Own projects from prototyping through production, leading 0-to-1 development of scalable NLP systems.
• Model Optimization: Enhance model performance through fine-tuning, prompt engineering, retrieval augmentation, and inference optimization.
• Cross-Functional Collaboration: Work closely with product, engineering, and executive teams to align AI capabilities with strategic goals.
• Thought Leadership: Help shape internal best practices in applied NLP/LLM development, and contribute to research papers and IP generation.
• Mentorship & Guidance: Provide technical insight and mentorship to junior researchers and engineers.

YOUR SKILLS AND EXPERIENCE

We’re seeking an experienced, hands-on NLP practitioner with a deep understanding of AI system development:

• 2-8 years of professional experience in applied NLP or LLM-based system development.
• Strong foundation in building and deploying NLP models in production settings.
• Proficiency with Python and modern ML/NLP frameworks (e.g., PyTorch, TensorFlow, HuggingFace, spaCy, etc.).
• Demonstrated experience scaling models across large, unstructured datasets.
• Applied research background with a proven track record of translating research into real-world tools and platforms.
• Deep understanding of LLM architectures, fine-tuning, prompt engineering, and retrieval-augmented generation (RAG).
• Excellent communication skills and comfort working in agile, high-ownership environments.
• PhD or Master’s degree in Computer Science, AI, Computational Linguistics, or related field (PhD preferred).
• Publication record in respected AI/NLP venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICLR) is highly desirable.

THE BENEFITS

• Competitive Compensation: Base salary of $180,000 – $220,000 + performance bonus
• Innovation Ownership: Drive the development of novel NLP applications and contribute to IP
• Remote Flexibility: Work from anywhere in the U.S.
• Full Benefits: Health, dental, vision, 401(k), generous PTO, and more

HOW TO APPLY

To explore this opportunity, please submit your resume to Luc Simpson-Kent using the Apply link on this page.

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Marketing Analytics Lead

Location: Fully Remote (UK-Based)
Salary: £66,000-£77,000 + 10% Bonus (Quarterly) + Equity

The Company

A fast-scaling, $100M+ digital platform connecting pet lovers and travellers is hiring a Marketing Analytics Lead to drive data-led growth. With investment backing and a unique member model, the business is doubling down on performance and brand marketing optimisation globally.

The Role

This is a strategic and hands-on role owning multi-channel marketing analytics and attribution. You’ll work closely with the CMO and senior leadership, lead campaign and brand performance analysis, and manage 1-2 analysts. You’ll also remain technical, using SQL and marketing tools to deliver insights that shape strategy across a fully digital business.

Key Responsibilities:

• Own attribution modelling across paid, CRM, and brand

• Lead incrementality tests and brand lift analysis

• Work with the CMO and agencies to measure campaign effectiveness

• Build dashboards and SQL-based self-serve tools

• Manage and mentor analysts while remaining technically hands-on

• Collaborate with data engineering to improve pipelines and reporting

Skills & Experience:

• Proven marketing analytics experience (digital & brand)

• Strong SQL and campaign measurement skills

• Confident presenting insights to senior stakeholders

• Experience with tools like GA4, Supermetrics, or Mode

• Team management or mentoring background

Desirable:

• Experience with Redshift, BigQuery, or Braze

• Knowledge of MMM or brand uplift modelling

• Background in a digital-first or subscription platform

Why Apply?

• £66-77k + 10% quarterly bonus + equity

• 100% remote across the UK

• Lead marketing analytics at a high-growth, mission-led brand

• Senior visibility and cross-functional impact

How to Apply

Send your CV to Daniel Abbasi via the Apply link on this page or reach out directly for more details.

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Fully Remote – Lead Marketing Analyst

We are working with a travel company who are looking to add a Lead Marketing Analyst to join their fully remote team!

What you’ll do:

• Lead and improve marketing effectiveness strategy, including attribution and channel classification

• Manage and integrate data from tools like Segment, Google Ads, Meta, Braze, and our data warehouse

• Collaborate with analytics and engineering teams on data design and solutions

• Build and automate reports and dashboards that inform key business decisions

• Mentor and grow the Marketing Analytics team

• Work with Product, Finance, and Marketing leadership on strategic initiatives

• Drive ongoing improvements in marketing analytics processes and tools

What we’re looking for:

• 5+ years’ experience in marketing analytics or a related field (agency background a bonus)

• Deep knowledge of digital marketing channels and metrics (Paid Search, Paid Social, SEO, Affiliates, CRM, Partnerships)

• Strong skills in attribution, media mix modeling, incrementality testing, and funnel analysis

• Proficient in SQL, data warehouses, BI tools, and marketing platforms

• Excellent analytical mindset with attention to detail and clear communication

• Team management experience is a plus

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ANALYTICS ENGINEER

£55,000-£60,000 + BENEFITS

PIMARILY REMOTE

An opportunity to join a subscriber based software company as an Analytics Engineer

THE COMPANY:

Over the past few years, this company has been undergoing the process of modernisation and has invested in migrating to DBT and a more modern tech stack. They are now keen for a dedicated Analytics Engineer to establish best practice and create a product environment.

THE ROLE:

A remote working Analytics Engineer will need to:

• Design and build data models
• Support implementation and maintenance of ELT pipelines
• Ingest data into Redshift
• Utilise tools like Fivetran
• Transform data using DBT

YOUR SKILLS AND EXPERIENCE:

A successful Analytics Engineer will have the following skills and experience:

• Ability and experience interacting with key stakeholders
• Strong experience in SQL/Python
• Data Cloud Tech experience
• Data transformation experience using DBT

THE BENEFITS:

You will receive a salary, dependent on experience. Salary is up to £60,000 On top of the salary there are some fantastic extra benefits.

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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Role: Senior Full Stack Developer (C#/.NET)
Salary: £90,000 – £130,000 + bonus + benefits
Location: Central London – 5 days per week onsite

Overview

Our client is a high-performing, London-based investment management firm specialising in sports trading. Founded in 2007 and generating £6.11M in turnover last year, they operate globally across football, cricket, US sports, and more. With a flat structure, strong team retention, and a culture focused on autonomy, flexibility, and high impact, they’re now looking to expand their engineering function with two Full Stack Developers.

This is an opportunity to work on greenfield projects with real-world impact, building predictive modelling systems that power automated trading and investment strategies.

Key Responsibilities

• Design, build, and maintain full-stack software solutions in C#/.NET
  * Develop predictive models for real-time sports trading and analysis
  * Contribute to greenfield product development with autonomy and ownership
  * Collaborate across a highly technical team with strong mathematical expertise
  * Solve complex, data-driven problems that have immediate business impact
  * Support system integration, testing, and deployment processes

Ideal Candidate

• 5-10 years of software engineering experience
  * Strong proficiency in C# and the .NET platform
  * Solid foundation in mathematics, statistics, or quantitative problem-solving
  * Experience with SQL Server, Oracle, or similar RDBMS
  * Comfortable working in a fast-paced, collaborative environment
  * Excellent communication skills; fluency in English
  * Passion or interest in sports (sports trading background not required)
  * Strong tenure and track record of mastery in a domain

Nice to Have

• Experience with JavaScript frameworks (e.g., React)
  * Network programming (TCP/UDP)
  * Multi-threaded application development
  * Familiarity with version control tools (PlasticSCM, Git, etc.)
  * Exposure to Windows-based technologies

Tech Stack / Tools

• C# / .NET (latest versions)
  * SQL Server
  * ASP.NET
  * React (optional)
  * TCP/UDP protocols
  * Git, PlasticSCM

Benefits

• Bonus (paid twice yearly, tied to personal performance)
  * Pension scheme
  * Private health insurance
  * Gym membership (with work-hour access up to twice a week)

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Credit Portfolio Analyst

Up to £50,000

London

Hybrid

The Company

An excellent opportunity a reputable challenger bank who are focused on delivering both savings, mortgages, business banking, and motor finance to their customers. This role will be sitting in the 2nd line delivering portfolio insights, developing scorecard models, overseeing model implementation, and developing lending strategies.

The Role

As a Credit Portfolio Analyst, you will be:

• Developing and implementing credit risk strategies across different portfolios with the focus on mortgages.
• Developing scorecards for originations/acquisitions
• Implementation of scorecard models for the business
• Overseeing the model development and implementation across the banks portfolios
• Analysis of portfolio trends for actional insights for senior stakeholders
• Using SAS and Python daily in this role.

Your skills and experience

For you to be successful as a Credit Portfolio Analyst, you will need:

• Strong experience working as a credit risk analyst for another bank/fintech
• Exposure working on credit strategy development and/or scorecard development
• Experience using SAS and ideally python
• Strong communication and teamwork skills.
• Mathematical degree

Benefits

Up to £50,000 + competitive benefits package

To Apply for this Job Click Here

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Marketing Analytics Lead

Location: Fully Remote (UK-Based)

Salary: £66,000-£77,000 + 10% Bonus (Quarterly) + Equity

The Company

A fast-growing global platform connecting property owners with trusted house and pet sitters. Established over a decade ago and backed by recent investment, the company offers a unique non-transactional service model-members exchange pet care for a place to stay, enabling memorable travel experiences for sitters and peace of mind for owners. Now valued at over $100M, the business is scaling rapidly with a data-driven approach at the heart of its next phase of growth.

The Role

This is a hands-on and strategic Marketing Analytics Lead position within a growing analytics function. You’ll own marketing attribution, lead brand performance analysis, and collaborate with senior stakeholders to drive data-informed decision-making. You’ll manage and mentor a small team while remaining technically hands-on with SQL and campaign measurement. Expect visibility across the C-suite and the opportunity to shape marketing analytics for a global digital-first brand.

Key Responsibilities

– Own and optimise multi-channel marketing attribution models (digital and brand campaigns)
– Lead marketing analytics projects from design to execution, including brand lift and incrementality studies
– Collaborate with the Chief Marketing Officer and external agencies on campaign performance analysis
– Develop self-serve analytics capabilities through SQL-based tools and dashboards
– Manage and mentor 1-2 analysts while contributing hands-on to high-impact analysis
– Work closely with data engineering teams to support ongoing improvements in data structure and pipelines

Skills & Experience

Essential:

– Proven experience in marketing analytics across digital and brand channels
– Strong hands-on ability with SQL; experience with attribution and incrementality testing
– Confident working with marketing stakeholders and presenting insights at a senior level
– Familiarity with marketing platforms and analytics tools (e.g., Supermetrics, GA4, Mode)
– Previous experience leading or mentoring analysts

Desirable:

– Experience with data warehouses (e.g., Amazon Redshift, BigQuery)
– Experience working with CRM tools like Braze
– Familiarity with MMM, econometrics, or brand lift studies
– Background in a fast-scaling digital product or membership-based platform

Benefits

Salary: £66,000-£77,000
Bonus: 10% paid quarterly (based on company performance)
Equity: Available to all employees
Remote Working: 100% remote across the UK
Growth: Exposure to high-impact projects across marketing strategy and data science

How to Apply

Send your CV to Mohammed Buhariwala at Harnham using the Apply link on this page or connect directly to find out more.

Keywords

Marketing Analytics, Attribution Modelling, SQL, Incrementality Testing, Brand Campaigns, GA4, Mode Analytics, Braze, Remote, UK, Digital Marketing Analytics, Data-driven Marketing.

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Senior Credit Portfolio Analyst

Up to £70,000

London

Hybrid

The Company

An excellent opportunity a reputable challenger bank who are focused on delivering both savings, mortgages, business banking, and motor finance to their customers. This role will be sitting in the 2nd line delivering portfolio insights, developing scorecard models, overseeing model implementation, and developing lending strategies.

The Role

As a Senior Credit Portfolio Analyst, you will be:

• Developing and implementing credit risk strategies across different portfolios with the focus on mortgages.
• Developing scorecards for originations/acquisitions
• Implementation of scorecard models for the business
• Overseeing the model development and implementation across the banks portfolios
• Analysis of portfolio trends for actional insights for senior stakeholders
• Using SAS and Python daily in this role.

Your skills and experience

For you to be successful as a Senior Credit Portfolio Analyst, you will need:

• Strong experience working as a credit risk analyst for another bank/fintech
• Experience developing credit risk strategies for lending products.
• Experience using SAS and ideally python
• Experience developing or working on scorecard models
• Strong communication and teamwork skills.
• Mathematical degree

Benefits

Up to £70,000 + competitive benefits package

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CREDIT RISK PORTFOLIO ANALYST

COMPETITIVE SALARY UP TO £50,000

LONDON, HYBRID WORKING (3 DAYS PER WEEK IN OFFICE)

In this role, you’ll be working a broad scoping role within a dynamic team, focusing on scorecard development/implementation, credit strategy, and insights. In this close-knit team, you’ll be given high levels of autonomy and responsibility, enabling you to create real change and drive growth.

THE COMPANY

This Challenger Bank is well-known for its data-driven and innovative consumer and business finance solutions, supporting a large number of customers across the UK. You’ll be working within a small, growing team and be able to learn from talented individuals across the business.

THE ROLE

• Provide market-leading analysis of the bank’s credit profile to inform and enhance lending decisions and strategies
• Work with and develop various forecasting and scoring models to enhance commercial value and mitigate risk
• Develop actionable insights to present to senior stakeholders within committee meetings

YOUR SKILLS AND EXPERIENCE

• 2+ Years of experience in the credit risk analytics space
• Proficiency in SAS or Python
• Experience working on strategy development
• Experience working with or on scorecards
• Retail banking experience

THE BENEFITS

• Competitive salary up to £50,000
• Hybrid working (3 days per week in the office)
• Pension scheme
• Bonus scheme
• Holiday entitlement

HOW TO APPLY

Please register your interest via the apply link on this page, or send your CV directly

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Senior Credit Strategy Analyst

Up to £55,000

Hybrid

Leicester

About the Company:

I am hiring a Senior Credit Risk Strategy Analyst for a leading lending business based in Leicester. Within this role, you will be developing strategies across acquisitions and existing customer management, to support the increase of profitability for the portfolio.

About the Role:

As a Senior Credit Risk Strategy Analyst, you will be:

• Driving insight for credit risk strategy
• Analysis of portfolios to report to senior stakeholders of strategy performance
• Detecting new trends on customer data to help increase business revenue
• Analysing both internal and external data to make informed decisions
• Developing credit risk strategies across acquisitions and existing customers
• Using SQL and SAS daily for strategy development

Responsibilities:

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

• Experience as a credit risk strategy analyst
• Experience working with unsecured credit portfolios
• Ideally experience working on Credit Cards
• Experience developing credit risk strategies for ECM and/or acquisitions
• Experience working with SQL and/or SAS
• STEM Degree from a top university

Benefits

Up to £55,000 + Benefits

To Apply for this Job Click Here

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Lead Credit Risk Analyst

Up to £60,000

Hybrid

Birmingham

The Company

I am hiring a Lead Credit Risk analyst for lending business that leads the way on all types of unsecured lending for a large consumer base across the UK. Within this role you will help drive credit risk strategy using analytics to drive companywide profitability.

The Role

As a Lead Credit Risk Analyst, you will be:

• Reporting on credit risk insights and trends to senior stakeholders
• Using analytics skills to improve credit risk strategies
• Helping manage the credit risk customer lifecycle
• Spotting trends to find new ways to increase profitability for credit risk
• Developing new credit risk strategies across the business for acquisitions and existing customers.
• Working with and presenting to senior stakeholders daily within the role.

Your skills and experience:

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

• Strong experience with SAS and/or SQL
• Experience as a credit risk analyst in an analytical position
• Experience developing credit risk strategy.
• Experience working in financial services
• Excellent communication skills
• Strong stakeholder management
• STEM Degree from a top university

Benefits

Up to £60,000 + benefits package

To Apply for this Job Click Here

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Head of Data Science (Credit Risk & Fraud)

Up to £140,000

London

Hybrid

I am currently hiring for a top consumer lending fintech based in London. They are looking to bring in a top leader in data science function to come into the business and spearhead the Fraud, Credit Risk, and Customer Analytics modelling for the business to support rapid growth.

The Role:

• Developing new models for Credit risk decisioning/developing scorecard models using SQL, Python, and Snowflake
• Developing models for fraud prevention and models for customer analytics
• Working with senior stakeholders across different areas of the business being able to manage both down and up
• Setting out the data science and modeling roadmap for the business
• Improving efficiency with the development of automation across the business.
• Cross-collaborating with other functions across the business to increase efficiency and revenue

Your Skills & Experience:

• Experience with Unsecured consumer lending
• Strong experience using SQL and python across your career.
• Experience owning and developing credit risk models
• Experience developing scorecards and decision models
• STEM Degree from a top University

Salary – Up to £140,000

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