INDUSTRY
OVERVIEW
Data and analytics roles play a pivotal and indispensable role in the Banking, Financial Services, and Insurance industry, delivering invaluable insights that inform strategic decision-making, foster innovation, and enable businesses to maintain a competitive edge. According to our BFSI data recruitment experts, the long-term significance of data and analytics jobs in the BFSI sector is evident in their ability. Driving strategic initiatives, managing risks effectively, and enhancing customer experiences.
In the UK, US, and EU, data and analytics jobs in the BFSI sector are subject to unique nuances and differences. That's where our BFSI data recruitment experts come in. According to them, the UK's financial services sector places a strong emphasis on regulatory compliance, risk management, and data privacy due to the influential role of regulatory bodies such as the Financial Conduct Authority (FCA) and the Prudential Regulation Authority (PRA). Data and analytics professionals in the UK BFSI sector may be involved in managing complex regulatory requirements, including Anti-Money Laundering (AML) and Know Your Customer (KYC) regulations.
In the US, data and analytics jobs in the BFSI sector are influenced by various factors such as the size and diversity of the financial market, the regulatory landscape governed by organizations such as the Securities and Exchange Commission (SEC) and the Federal Reserve, and the focus on consumer protection. Data scientists and analysts in the US BFSI sector may work on areas such as risk modeling, fraud detection, and customer segmentation.
In the EU, data and analytics jobs in the BFSI sector are shaped by regulatory frameworks like the General Data Protection Regulation (GDPR) and the European Central Bank's (ECB) guidelines on risk management. The focal points are data privacy, risk assessment, and regulatory compliance. Data and analytics professionals in the EU BFSI sector may be involved in areas such as stress testing, credit risk assessment, and compliance reporting.
Across all regions, the significance of data and analytics jobs in the BFSI sector lies in their ability to drive data-driven decision-making, enhance risk management practices, optimize customer experiences, and foster innovation through advanced analytics techniques such as machine learning and artificial intelligence. Companies that invest in highly skilled data and analytics professionals are likely to gain a competitive advantage in the ever-evolving BFSI landscape. To take your first steps toward finding the perfect candidate, contact us today. Our BFSI data recruitment experts will be happy to speak with you!
CANDIDATE PROFILE
- Â
-
- Technical skills: BFSI employers often seek candidates with proficiency in data analysis tools and programming languages such as Python, R, SQL, and data visualization tools like Tableau or Power BI. Familiarity with statistical techniques, data modeling, and machine learning algorithms is also highly valued.
Â
-
- Domain knowledge: Employers in the BFSI sector typically look for candidates who have a deep understanding of the industry, including financial products, services, regulations, and market trends. Knowledge of specific areas such as risk management, fraud detection, or compliance is often sought after.
Â
-
- Analytical mindset: Employers value candidates who have strong analytical skills, including the ability to analyze complex data sets, identify patterns, and derive meaningful insights. Problem-solving skills and attention to detail are also highly regarded.
Â
-
- Business acumen: BFSI employers often seek candidates who can translate data insights into actionable business recommendations. Understanding how data and analytics can drive business outcomes, improve customer experiences, and generate value is crucial.
Â
-
- Communication skills: Effective communication skills, both verbal and written, are highly valued in BFSI data and analytics roles. Candidates who can communicate complex data findings and insights in a clear and concise manner to non-technical stakeholders are often preferred.
Â
-
- Adaptability and continuous learning: Given the rapidly evolving landscape of data and analytics, BFSI employers look for candidates who are adaptable to change and willing to continuously learn and upgrade their skills. Keeping up with the latest trends, technologies, and industry developments is seen as a valuable trait.
Â
- Ethics and integrity: Data privacy and security are critical in the BFSI sector. Employers seek candidates who demonstrate high ethical standards, integrity, and compliance with regulatory requirements when handling sensitive data. To discover more about will make the perfect candidate for your business, contact us now. Our BFSI data recruitment experts would love to hear from you.
DATA SCIENCE OVERVIEW
Data science plays a critical role in the banking, financial services, and insurance sector by helping organizations make data-driven decisions, manage risks, and improve customer experience. With the vast amount of data generated by BFSI organizations, data science has become an essential tool to analyze and interpret this data to gain insights and drive growth.
In the BFSI sector, data science is used for a variety of purposes, including fraud detection, credit risk analysis, customer segmentation, and product development. Data scientists in the sector use statistical analysis, machine learning, and data modeling techniques to develop predictive models that help organizations make informed decisions.
One of the key benefits of data science in the BFSI sector is improved risk management. Data scientists can use historical data and predictive modeling techniques to identify potential risks and mitigate them before they become a problem. This helps organizations minimize losses and maintain financial stability.
Another benefit of data science in the BFSI sector is improved customer experience. By analyzing customer data, organizations can understand their preferences and behavior, and use this information to offer personalized products and services that meet their needs.
Data science is imperative in the BFSI sector. By helping organizations make informed decisions, manage risks, and improve customer experience. As the industry continues to generate vast amounts of data, the demand for data scientists in the BFSI sector is likely to continue to grow, making it a promising career path for those interested in data science and analytics. If you're still in need of the perfect candidate for your BFSI business, contact us today. Our BFSI data recruitment specialists are here to help!
BUSINESS INTELLIGENCE OVERVIEW
Business Intelligence (BI) jobs are in high demand in the Banking, Financial Services, and Insurance (BFSI) sector. BI professionals are responsible for gathering, analyzing, and visualizing large amounts of data to provide insights that help BFSI organizations make informed decisions.
The BFSI sector relies heavily on data to manage risks, improve customer experiences, and comply with regulations. As a result, BI professionals play a critical role in helping BFSI organizations stay competitive in today's fast-paced business environment.
BI jobs in the BFSI sector require a strong understanding of financial data, regulatory compliance, and business operations. The ideal candidate should have expertise in data modeling, analytics, and visualization tools. Additionally, they should possess strong communication and problem-solving skills to work effectively with cross-functional teams.
BI jobs in the BFSI sector are a key component of a successful and thriving organization. They play a critical role in helping BFSI organizations gain insights into their operations, improve customer experiences, and make data-driven decisions. If you need more information on recruiting for BI, contact us today. Speak to our BFSI data recruitment specialists, they are here to help!
DATA MANAGEMENTÂ
Data Management jobs in the Banking, Financial Services, and Insurance (BFSI) sector are like the unsung heroes behind the scenes, working tirelessly to keep the wheels of the industry turning smoothly. With the sheer magnitude of data that BFSI organizations deal with on a daily basis, managing this vast ocean of information is no small feat. It requires a unique blend of skills and expertise to navigate through the complexities and ensure that data is organized, stored, protected, and maintained with the utmost integrity.
In the fast-paced, data-driven world of BFSI, where decisions are made in the blink of an eye and risks lurk around every corner, Data Management professionals are the gatekeepers of reliable and accurate data. They are the ones who ensure that data flows seamlessly across the organization, providing the foundation upon which strategic decisions are made, risks are mitigated, and regulations are adhered to.
But what does it take to be a Data Management pro in the BFSI sector? It's not just about being tech-savvy and having a basic understanding of data. It goes much deeper than that. These professionals need to have an in-depth understanding of the nuances of financial data, regulatory compliance, and the intricacies of business operations. They need to be the maestros of data governance, data quality, and data integration, orchestrating a symphony of data that harmoniously supports the organization's goals and objectives.
However, it's not just about crunching numbers and analyzing data. Effective communication and problem-solving skills are equally important for Data Management professionals in the BFSI sector. They need to be able to effectively collaborate with cross-functional teams, navigating through the maze of stakeholders, departments, and systems to ensure that data is managed in a way that adds value to the organization. For more expert hiring advice, speak to our BFSI data recruitment consultants today!
RISK ANALYTICS
In the dynamic world of Banking, Financial Services, and Insurance (BFSI), Risk Analytics jobs are indispensable. These roles involve delving into vast amounts of data to uncover potential risks and opportunities, providing valuable insights that empower organizations to make informed decisions in the face of uncertainty.
BFSI organizations operate in a constantly evolving environment, where a multitude of risks lurk. This is where Risk Analytics professionals step in, playing a pivotal role in proactive risk management, loss mitigation, and profit maximization.
Deep expertise in financial data, statistical analysis, and business operations is a must for Risk Analytics jobs in the BFSI sector. The ideal candidate is well-versed in risk modeling, scenario analysis, and stress testing, and possesses exceptional communication and problem-solving skills to collaborate effectively with cross-functional teams.
Being part of the Risk Analytics team in the BFSI sector means being an integral part of organizational success. You will help identify potential risks and opportunities, guide decision-making, and keep organizations competitive in today's ever-changing business landscape. Expect the unexpected, analyze the complexities, and unlock insights that drive strategic outcomes. Don't navigate risk analytics recruitment alone. Contact our BFSI data recruitment experts today!
CUSTOMER ANALYTICS
Customer Analytics roles within the dynamic realm of the Banking, Financial Services, and Insurance (BFSI) sector are nothing short of paramount. These professionals are tasked with delving into the labyrinthine depths of customer data to unravel the enigmatic patterns of customer behavior, preferences, and needs. Armed with these invaluable insights, organizations can fashion bespoke products and services that cater to the idiosyncratic demands of their discerning clientele.
In the cutthroat landscape of the BFSI sector, where competition is rife and innovation is imperative, comprehending customer behavior and preferences takes center stage. Thus, Customer Analytics roles emerge as pivotal pillars, empowering organizations to gain a strategic edge, enhance customer satisfaction, and propel growth to unprecedented heights.
Flourishing in the realm of Customer Analytics within the BFSI sector calls for an astute grasp of customer data, proficiency in statistical analysis, and a profound understanding of business operations. The ideal candidate is a virtuoso in customer segmentation, adept in predictive modeling, and a maestro in data visualization. Furthermore, exceptional communication and problem-solving skills are essential to collaborate effectively with multifaceted, cross-functional teams.
Embarking on a career in Customer Analytics for the BFSI sector bestows upon you an indomitable sense of purpose as you become a linchpin of success for BFSI organizations. Your prowess in unearthing customer behavior, preferences, and needs will serve as the catalyst for crafting tailor-made products and services that cater to the distinctive requirements of your esteemed customers. To find out more, contact our BFSI data recruitment experts now!
JOBS
LATEST financial services
DATA JOBS
Product Manager
London
£60000 - £60000
+ Advanced Analytics & Marketing Insights
ContractLondon
To Apply for this Job Click Here
Product Manager (6 month FTC)
London (Tottenham Court Road, Hybrid)
Up to £60,000
I am recruiting for a Product Manager to join a high-growth fintech startup disrupting the wealth management space.
This role sits within a fast-scaling product team and focuses on building automation and AI-driven solutions to improve operational efficiency and reduce manual processes across the business.
The Role
- Identify and automate manual operational processes across teams
- Build and implement low-code / no-code solutions and AI tools
- Work closely with internal stakeholders (ops, marketing, product)
- Partner with senior product leaders on AI and automation initiatives
- Deliver solutions that improve efficiency and reduce reliance on headcount
- Translate business problems into practical, scalable solutions
What They’re Looking For
- 3-5+ year’s experience in product, automation, or similar roles
- Strong problem-solving mindset with hands-on automation experience
- Experience using no-code / low-code tools or AI solutions
- Background in fast-paced startups or tech environments
- Ability to work independently and deliver end-to-end solutions
- Strong stakeholder engagement and communication skills
Benefits
- Salary up to £70,000
- Hybrid/flexible working (1-2 days onsite)
- Opportunity to join a high-growth, Series C fintech
- High-impact role with real ownership
- Potential to go permanent
How to Apply
Please send your CV to Keji Adebari via the Apply link or message me directly!
To Apply for this Job Click Here
Senior Product Analyst – Financial Services
London
£55000 - £70000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
Senior Product Analyst
London (Hybrid, 3 days per week) Up to £70,000
This is an opportunity to join a fast growing, digital first organisation where product analytics plays a central role in shaping customer experience and commercial outcomes. You will be embedded within a product focused environment, partnering closely with Product and Engineering to drive data led decisions across high impact initiatives.
The Company
They are a modern, technology driven business operating at scale within a highly regulated industry. With a strong focus on customer outcomes and innovation, they invest heavily in data and analytics to support product development and strategic growth. The organisation values autonomy, collaboration and thoughtful problem solving, offering a mature analytics culture where insight genuinely influences decisions.
The Role
- Act as the embedded analytics partner within a product area, shaping how insight informs product strategy
- Define and own product performance metrics, ensuring clarity, consistency and trust
- Analyse complex datasets to uncover trends, risks and opportunities that impact customer experience and commercial performance
- Design and evaluate experiments to support product development and optimisation
- Translate ambiguous business problems into clear analytical approaches and actionable insight
- Communicate findings clearly to a wide range of technical and non-technical stakeholders
Your Skills & Experience
- Strong SQL capability with experience working with large, complex datasets
- Background in product, commercial or customer analytics within a fast paced environment
- Experience using BI tools such as Tableau, Looker or Power BI, with Python exposure beneficial
- Comfortable structuring open ended problems and working independently
- Confident communicator who can influence stakeholders through clear, data driven storytelling
What They Offer
- Salary up to £70,000 plus a competitive benefits package
- Hybrid working with three days per week in a London office
- High impact role with strong ownership and visibility
- Opportunity to shape analytics within growing product areas and progress your career
How to Apply
If you are a Product Analyst looking for ownership, influence and meaningful impact, apply now.
To Apply for this Job Click Here
Senior Marketing Analyst
London
£70000 - £85000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
Senior Marketing Analyst
London | Up to £85,000 plus equity
This is a high-impact analytics role sitting at the heart of growth and marketing decision-making within a fast-paced, product-led environment. You will work on complex attribution and customer journey challenges, with real influence over how marketing investment is measured and optimised, particularly across a key international growth market.
The Company
They are a highly data-driven digital business operating in consumer financial products. The organisation is well established, commercially successful, and known for its strong analytics culture. Teams are lean, collaborative, and focused on using data to drive measurable outcomes. The business is continuing to scale internationally, with analytics playing a central role in that growth.
The Role
- Partner closely with growth and marketing teams to support performance analysis and strategic decision-making.
- Analyse marketing spend across digital channels to assess effectiveness and return on investment.
- Track and evaluate customer acquisition sources to understand channel contribution and efficiency.
- Develop and improve attribution approaches, including multi-touch attribution, while accounting for privacy and tracking limitations.
- Optimise marketing and application funnels by identifying drop-offs and conversion opportunities.
- Analyse end-to-end customer journeys across multiple financial products and recommend alternative pathways where appropriate.
- Build models to answer complex commercial questions, such as the incremental impact of new channels or campaigns.
- Apply statistical and experimental techniques to support testing, measurement, and business decisions.
Your Skills & Experience
- Strong commercial marketing analytics experience within a consumer-facing digital environment.
- Advanced capability in SQL and Python, with Python used for modelling and analysis.
- Hands-on experience with attribution modelling and evaluating marketing effectiveness.
- Experience analysing complex customer journeys and funnel performance.
- Comfortable working with experimentation, uplift measurement, and statistical techniques.
- Confident communicator, able to translate analysis into clear, actionable insight for senior stakeholders.
What They Offer
- Salary up to £85,000.
- Equity as part of the overall package.
- A role with genuine ownership and exposure to senior growth and marketing leadership.
- A high-performing, data-led environment with strong standards and clear impact.
- Hybrid working, with Tuesday, Wednesday, and Thursday based in a London office.
How to Apply
If you are interested in this opportunity, please apply to learn more about the role and the wider analytics team.
To Apply for this Job Click Here
Senior Engagement Manager
London
£110000 - £120000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
Senior Engagement Manager – Analytics Consulting
London/Leeds/HYBRID
UP TO £120,000
A senior, high-impact role for an analytics consulting leader to shape a growing advisory capability, lead complex client engagements, and deliver measurable commercial outcomes.
OVERVIEW
A global data, analytics and technology business is building a new UK analytics consulting practice. This is a senior, client-facing role focused on leading analytics-driven engagements, advising senior stakeholders and translating complex data into clear commercial recommendations.
The role offers high visibility and strong progression potential as the practice grows.
THE COMPANY
Our client is a major global information and analytics business serving financial services, fintech, payments, insurance, utilities, telecoms and public sector clients.
The business provides data, analytics platforms and decisioning solutions across credit risk, affordability, fraud prevention, identity verification, customer acquisition and consumer insights.
It is now investing in a new advisory offering, helping clients turn data and analytics into practical commercial outcomes across the customer lifecycle.
Projects typically run for 6-12 months and cover areas such as acquisition, credit risk, fraud, pricing, segmentation, marketing, collections and customer value management.
ROLE AND RESPONSIBILITIES
- Lead end-to-end analytics consulting projects from scoping to delivery
- Act as the main client contact for senior stakeholders
- Turn complex data and analytics into clear commercial recommendations
- Manage projects across credit risk, fraud, pricing, segmentation, marketing and collections
- Work with analytics, data science and product teams to deliver client solutions
- Present insights and recommendations to senior audiences
- Support pitches, proposals and wider practice growth
- Help shape a growing analytics advisory practice
SKILLS AND EXPERIENCE
- Strong commercial experience leading analytics or data consulting engagements in financial services.
- Proven ability to turn complex analysis into clear, actionable business recommendations.
- Deep knowledge of areas such as credit risk, portfolio management, fraud, pricing, or customer analytics.
- Confident engaging with senior stakeholders, including executive and board-level audiences.
- Commercially astute, with experience scoping, pricing, and managing profitable consulting engagements.
- Familiar with modern data environments, analytical tools, and visualisation platforms.
To Apply for this Job Click Here
Senior Manager
London
£120000 - £150000
+ Risk Analytics
PermanentLondon
To Apply for this Job Click Here
Senior Manager / Associate Director – Valuations
Salary
£120,000-£150,000
Location + work pattern
London (hybrid working, 2-3 days per week in the office)
THE COMPANY
- A well‑established UK FinTech that has evolved into a fully licensed digital bank.
- Offers a broad range of consumer lending and banking products and continues to scale rapidly.
- Known for strong financial performance, modern data infrastructure and an ambitious growth strategy.
THE ROLE
This is a senior leadership role responsible for shaping and owning the valuations and NPV modelling capability across multiple consumer lending portfolios. The position plays a critical role in enabling smarter credit decisioning and long‑term portfolio strategy.
Specifically, you can expect to be involved in:
- Leading the development and ownership of NPV, IRR and valuation models across several lending products.
- Partnering closely with Product, Risk, Finance and Impairment teams to improve forecasting accuracy and valuation approaches.
- Driving innovation in how valuation models are designed, applied and embedded into live credit decisioning.
- Developing best‑in‑class valuation methodologies at both portfolio and account level.
- Line managing and mentoring a small team of analysts, with close collaboration with data science teams.
YOUR SKILLS AND EXPERIENCE
- Strong experience in valuations, NPV and IRR modelling within consumer lending or retail credit. — this needs to be clear on your CV.
- Proven ability to design and build models from scratch, with strong conceptual thinking.
- Experience moving beyond simple curve‑based approaches into more advanced modelling techniques.
- Comfortable working with Python in a production analytics environment; SQL is advantageous.
- Demonstrated people leadership skills and the ability to influence senior stakeholders.
THE BENEFITS
- Competitive salary and overall benefits package.
- Hybrid working model with flexibility built in.
- Opportunity to shape a critical capability within a fast‑growing digital bank.
- High levels of autonomy, visibility and long‑term career progression.
THE PROCESS
- Initial interview stage.
- Technical and stakeholder‑focused interviews.
- Final interview with senior leadership.
- Offer
HOW TO APPLY
Please register your interest via the apply link on this page.
To Apply for this Job Click Here
Senior Director, Engineering – Licensing
Mountain View
$250000 - $275000
+ Data Engineering
PermanentMountain View, California
To Apply for this Job Click Here
Senior Director, Engineering – Licensing
Location: Mountain View, CA (3 days/week onsite minimum)
Compensation: $250,000-$275,000 base + bonus + RSUs
About the Company
Harnham is partnering with a Fortune 500 leader in cybersecurity and digital trust, combining the scale of a global enterprise with the agility of a startup culture. The company protects hundreds of millions of users worldwide, boasts best-in-class retention, and maintains an unwavering commitment to innovation.
Its platform processes over half a million telemetry events per second, and following a major fintech acquisition in 2025, the organization has significantly expanded its footprint in New York City.
The Role
They are seeking a Senior Director, Licensing & Accounts Engineering to lead the transformation of mission-critical licensing and accounts platforms that power complex global product ecosystems. This is a highly influential leadership role focused on backend modernization, architectural simplification, and scalable platform design across multiple products and interfaces.
This leader will define the long-term technical roadmap for reusable licensing services, reduce system complexity across tightly coupled platforms, and drive modernization efforts across critical Java-based backend systems.
Key Responsibilities
- Own architecture and modernization strategy for licensing and accounts systems
- Lead transformation of 7+ critical Java backend components
- Simplify integrations across products, frontend systems, and legal/commercial constraints
- Design scalable, reusable licensing frameworks supporting multiple products and interfaces
- Set and drive the technical roadmap for licensing and accounts platforms
- Partner closely with Product Management and Architects on strategy and execution
Technical Leadership
- Provide deep backend expertise and architectural oversight
- Guide design decisions to reduce system coupling and improve platform reuse
- Lead integration strategy across multiple product lines
- Ensure systems remain resilient, scalable, and future-ready
Leadership & Influence
- Lead and scale a highly critical engineering organization of 20-25+ engineers
- Mentor senior engineers and technical leaders
- Drive alignment across shared services and cross-functional teams
- Act as a change agent by challenging legacy systems and engineering practices
Day-to-Day Focus
- ~50% architecture and system design leadership
- ~30% roadmap ownership and cross-functional collaboration
- ~20% people leadership and mentoring
Key Initiatives in the First 6-12 Months
- Define and execute the modernization roadmap for licensing and accounts platforms
- Reduce system complexity and redundant touchpoints
- Establish scalable licensing models across multiple products
- Improve integration patterns and backend service design
- Strengthen collaboration between engineering, product, and architecture teams
- Elevate overall technical maturity and engineering standards
Ideal Candidate Profile
- 10+ years of experience in senior engineering leadership roles
- Expertise in backend shared services platforms and large-scale system architecture
- Experience modernizing legacy backend systems in mid-to-large product organizations
- Strong background in integration-heavy architectures across complex product ecosystems
- BS in Computer Science or related field required; advanced degree a plus
Must-Have Skills
- Deep Java backend systems expertise
- Strong system architecture and platform transformation experience
- Experience defining and driving technical roadmaps
- Proven ability to lead and influence teams of 20-25+ engineers
- Strong integration design experience across multiple systems
- Ability to simplify highly complex technical domains
Nice-to-Have Skills
- Licensing and entitlement platform experience
- Experience building reusable entitlement frameworks
- Cloud modernization experience
- Exposure to regulated or legally constrained systems
Benefits
The compensation package includes a competitive base salary, bonus, RSUs, and a comprehensive benefits package.
How to Apply
Please register your interest by sending your CV via the Apply link on this page.
Key Terms
Software Engineering | Backend Platforms | Licensing | Entitlements | Distributed Systems | Architecture | Platform Modernization | Java | Shared Services | Integration | Product Engineering | Technical Leadership | Scalability | Cloud | Engineering Management | Consumer Platforms | B2C Platforms | Customer Platforms | Systems Design | Roadmap Strategy
To Apply for this Job Click Here
Senior Director Engineering – eCommerce
Mountain View
$250000 - $275000
+ Data Engineering
PermanentMountain View, California
To Apply for this Job Click Here
Senior Director, Engineering – eCommerce
Location: Mountain View, CA (3 days/week on site minimum)
Compensation: $250,000-$275,000 base + bonus + RSUs
About the Company
Harnham is partnering with a Fortune 500 leader in cybersecurity and digital trust, combining the scale of a global enterprise with the agility of a startup culture. The company protects hundreds of millions of users worldwide, boasts best-in-class retention, and maintains an unwavering commitment to innovation.
Its platform processes over half a million telemetry events per second, and following a major fintech acquisition in 2025, the organization has significantly expanded its footprint in New York City.
The Role
They are looking for a Senior Director, Engineering to oversee a growing global engineering team of 20+ professionals. This is a highly visible, reporting directly to the executive team and partnering with the C-suite.
Key responsibilities include:
- Lead architecture and technical direction for global eCommerce platforms, modernizing legacy Java systems into AI-enabled solutions
- Oversee checkout, billing, subscriptions, payments, and third-party payment integrations at global scale
- Drive cloud and database modernization strategies, including Azure/AWS and OracleDB migration planning
- Provide hands-on architectural guidance, influence AI adoption, and elevate engineering capabilities across teams
- Partner with senior engineers, architects, and cross-functional leaders to improve scalability, reliability, and engineering practices while challenging legacy approaches
Ideal Candidate Profile
- 12+ years of experience preferred, with expertise in large-scale eCommerce, payments, platform modernization, and AI-assisted system design
- Background in high-scale consumer platforms and leading legacy-to-modern transformation initiatives
- BS in Computer Science or related field required; MS preferred
- Strong Java backend, system architecture, and cloud experience (Azure required, AWS a plus)
- Experience with commerce platforms, React, code/architecture reviews, and leading global engineering teams
- Proven ability to influence technical direction and challenge legacy approaches with credibility
- Preferred experience in payments, subscription billing, AI-driven modernization, OracleDB migrations, and cybersecurity/fintech domains
BENEFITS
The compensation package contains a base salary, bonus, RSUs and a comprehensive benefits package.
HOW TO APPLY
Please register your interest by sending your CV via the Apply link on this page.
KEY TERMS
Software Engineering | Leadership | eCommerce | Engineering | Fintech | Customer | Customer-Facing | Direct-to-Consumer | B2C | Product | Production | Real Time | Director | Regulation | Payments | Compliance | Regulatory | Startup Environment | Executive | Scale | Scaling | Artificial Intelligence | Java | Billing | Real-Time
To Apply for this Job Click Here
Lead ML Engineer
$200000 - $210000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Senior ML Engineer
New York City
Up to $210K base + bonus + equity
Company
A global provider of mission‑critical data, analytics, and technology powering the world’s financial markets. The organization operates at massive scale, combining machine learning, advanced statistics, and high‑quality data to deliver insights used daily by financial institutions, corporates, and governments. The environment is highly technical, impact‑driven, and deeply focused on data integrity, product quality, and engineering excellence.
Mission
- Own and evolve advanced ML and statistical models used in production across large‑scale data platforms
- Design, develop, and deploy ML‑powered features that enhance analytics, risk assessment, and decision‑making
- Tackle complex, non‑standard modeling problems involving noisy, sparse, or highly regulated data
- Operate and support production ML systems, including model monitoring, incident analysis, and impact assessment
- Collaborate closely with Product, Data Engineering, and Platform teams to translate business problems into robust technical solutions
- Contribute to system design, architectural decisions, and rigorous code reviews
- Ship improvements continuously using CI/CD pipelines and infrastructure‑as‑code best practices
Profile
- Master’s degree (or equivalent) in Applied Mathematics, Statistics, or a closely related quantitative field (mandatory)
- 3+ years of professional experience building ML or data‑driven systems in production (excluding internships)
- Hands‑on experience deploying, monitoring, and maintaining ML models at scale
- Strong communication skills with the ability to work effectively in cross‑functional, product‑oriented teams
- Experience in financial data, risk modeling, or large‑scale analytics platforms is a plus, but not required
To Apply for this Job Click Here
Principal Machine Learning Engineer
$170000 - $210000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Principal Machine Learning Engineer
New York | Hybrid | Principal IC
$170,000 to $210,000
Join a world‑class AI & ML team building production‑grade Generative and Agentic AI systems at enterprise scale.
The role
As a Principal ML Engineer, you’ll sit at the sharp end of applied AI, architecting and shipping LLM, RAG and agentic platforms used across the business. This is a hands‑on senior IC role with real influence: setting engineering standards, mentoring senior engineers, and shaping AI strategy alongside leadership.
What you’ll be doing
- Designing, deploying and operating LLMs, RAG pipelines and autonomous agents
- Building scalable Python backends & APIs (FastAPI, async systems)
- Owning LLMOps/MLOps, cloud AI infrastructure and observability
- Driving best practice across ML, software engineering and platform design
What we’re looking for
- 10+ years in ML / software / data roles, expert Python engineer
- Strong experience with GenAI frameworks, cloud platforms (AWS/GCP/Azure)
- Production mindset: distributed systems, reliability, scalability
- Comfortable influencing teams and leaders without line management
Why apply
- Principal‑level impact and autonomy
- Cutting‑edge AI at real scale (not POCs)
- High‑trust, high‑performance engineering culture
Apply NOW!
To Apply for this Job Click Here
Staff AI Engineer
$200000 - $600000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Staff AI Engineer
(Hands‑on, LLM Platforms, Technical Lead)
Location: New York
Working model: On‑site
Package: Competitive base + performance‑linked upside
The Opportunity
An established, technology‑driven organisation is building a central AI engineering capability to support complex, data‑intensive decision‑making across the business.
This is a high‑impact individual contributor role for a Senior AI Engineer who enjoys operating close to the commercial core. You’ll take ownership of critical AI systems from architecture through to deployment, working within a small, trusted technical group with direct access to senior stakeholders.
The environment suits someone who thrives in low‑bureaucracy, high‑autonomy settings, where AI is expected to deliver real, measurable value, not experiments for experimentation’s sake.
The Role
You will act as the technical lead for advanced AI tooling, owning system design and delivery across a range of internal use cases.
Responsibilities include:
- Designing and building LLM‑based applications, including retrieval‑augmented generation and agent‑style workflows
- Owning end‑to‑end system architecture, performance, and scalability
- Developing AI tools to support research, monitoring, knowledge discovery, and decision support
- Establishing evaluation and quality frameworks to ensure AI outputs meet high reliability standards
- Reviewing code, setting engineering standards, and supporting the development of other engineers
- Partnering closely with non‑technical users to translate complex workflows into intuitive AI products
- Assessing third‑party tooling and platforms where appropriate
This is a deeply hands‑on role with real ownership.
What We’re Looking For
Core requirements:
- Strong software engineering background (Python preferred)
- Proven experience building production AI systems, particularly modern LLM applications
- Solid understanding of:
- Prompt design and iteration
- Embedding pipelines and vector databases
- RAG architectures and tool‑use patterns
- Model evaluation and monitoring
- Experience deploying AI products used by non‑technical stakeholders
- Comfortable setting technical direction while remaining a builder
Nice to have:
- Exposure to complex analytical or commercial domains
- Experience working in small, senior engineering teams
- Background in cloud‑native environments
Why Join?
- Ownership of mission‑critical AI systems
- Direct visibility of impact, your work will be used day‑to‑day
- Modern AI stack with freedom to make technical decisions
- Long‑term scope to shape and grow the AI engineering function
To Apply for this Job Click Here
Lead Fullstack Engineer
New York
$200000 - $250000
+ Data Engineering
PermanentNew York
To Apply for this Job Click Here
Lead Fullstack Engineer
Location: New York, NY (Hybrid)
Pay: $200k – $250k Base + Bonus & Equity
Overview
This is a senior‑most individual contributor role within a rapidly scaling, data‑intensive consumer technology organisation operating at global scale. The company builds high‑traffic, customer‑facing platforms used by tens of millions of users and processes hundreds of thousands of real‑time events per second.
The role sits within a newly expanded NYC engineering hub and plays a central role in shaping the company’s next‑generation platform architecture. You will operate as a technical leader across frontend and backend systems, driving modernisation, AI adoption, and engineering best practices in a fast‑moving, low‑bureaucracy environment.
Responsibilities
- Act as a technical lead across fullstack initiatives, setting architectural direction and engineering standards
- Partner with engineering leadership and product stakeholders to define platform strategy and execution
- Lead the design and implementation of scalable, server‑rendered applications using modern TypeScript frameworks
- Drive migration away from legacy systems toward modular, maintainable, and testable architectures
- Champion the integration of generative AI into software development workflows, including agent‑driven coding and review
- Evaluate and mitigate risks associated with AI‑assisted development in production systems
- Contribute to system design documentation, specifications, and long‑term platform roadmap
- Mentor senior and mid‑level engineers through technical guidance and code reviews
Must‑Have Qualifications
- 10 – 15 years of professional software engineering experience with significant fullstack ownership
- Advanced TypeScript expertise across frontend and backend systems
- Strong experience with server‑side rendering frameworks (e.g. Remix, NestJS, Next‑style architectures)
- Production experience running systems on Kubernetes
- Proven technical leadership in complex, high‑scale environments
- Bachelor’s degree in Computer Science or a related technical discipline
- Demonstrated enthusiasm for AI‑assisted development and modern engineering workflows
To Apply for this Job Click Here
Product Manager
City of London
£70000 - £70000
+ Advanced Analytics & Marketing Insights
PermanentCity of London, London
To Apply for this Job Click Here
Product Manager (FTC)
London (Hybrid)
70k
This is a high impact opportunity to join a fast growing start-up at a pivotal stage of scale. With our product direction now clearly defined and strong investor backing, this role offers the chance to build automation that directly shapes how we operate as we grow.
The Company
We are a technology led wealth management business on a mission to disrupt the traditional advisory model. We provide conflict free, holistic financial advice without directly managing client assets, giving us the freedom to build products beyond conventional wealth management. Our app brings together clients’ full financial picture in one place, supported by regulated advisers delivering one to one advice via chat. Following recent funding, we are now scaling rapidly across the business.
The Role
This role is focused on automating and optimising internal business operations as the company scales.
- Identify manual and repetitive processes across teams including operations, marketing, talent, business development and finance
- Design and build scalable automations using no code and low code tools, alongside third party AI solutions where appropriate
- Own problems end to end, from discovery through to delivery and measurement of impact
- Focus on tangible outcomes such as time saved, efficiency gained and headcount avoidance
- Act as an internal champion for automation, helping teams rethink how work gets done
Your Skills and Experience
- Strong commercial experience automating operational processes in a fast paced tech environment
- Hands on delivery using no code or low code platforms, workflow tools and rules based systems
- A product mindset with the ability to prioritise high impact problems and design pragmatic solutions
- Comfortable working without a traditional engineering team and building solutions independently
- Able to clearly articulate previous automation projects, including technical approach and business impact
What We Offer
- Competitive salary and benefits package
- High autonomy and visibility within a growing product organisation
- The opportunity to work closely with senior product leadership focused on AI and automation
- Clear scope to shape how automation is embedded across the business as we scale
To Apply for this Job Click Here
Industry Hub
HARNHAM
News & Blog
With over 10 years experience working solely in the Data & Analytics sector our consultants are able to offer detailed insights into the industry.
Visit our Blogs & News portal or check out our recent posts below.
How Fraud Analytics Can Keep Your Money Safe
How Fraud Analytics Can Keep Your Money Safe We’ve previously written about how data analytics can help…
Resume Tips for Professionals in Risk Analytics
Resume Tips for Professionals in Risk Analytics There are a number of online guides about how to…
As Incidents Of Cybercrime Increase, How Can A Fraud Analyst Give Your Business Peace Of Mind?
Whilst it’s true that cybercriminals are becoming more creative and sophisticated, as are analytical techniques and the experts that wield them. Fraud Analysts…
What Skills And Attributes Do You Need To Become A Risk Analyst?
No business is risk-free and as we traverse a highly technical and ever-evolving working landscape, the number of areas where problems, perhaps even crises, may…
Risk Analytics Landscape: 2022 | Harnham Recruitment post
2022 is set to be an interesting year for Risk Analytics. According to research, the risk analytics market is expected to be worth around $54.95bn by 2027 and…
How Big Data and Risk Analytics Can Help Fight Climate Change | Harnham US Recruitment post
Data is all around us. We use it to calculate our calories and our steps to ensure a healthy body. We use it track our packages and ensure delivery to the right…
Key Fraud Trends: How to Stay Safe in the Changing Fraudscape | Harnham Recruitment post
Sharing and collecting data is part of our everyday lives. Whether our information is shared over social media, e-commerce sites, banks, or elsewhere, this can…
A new way to pay- Fintech innovation at the point of sale | Harnham Recruitment post
Instant transfers, real-time payments, virtual banks, and digital currencies – these are just a few of the ways fintech innovation has been booming in the last…
Why choose a career in credit risk | Harnham US Recruitment
Credit Risk Analyst | Has your education and work experience have given you solid skills in diligence, quantitative analysis, computer software and communication?
How marketing analytics works for banks | Harnham Recruitment post | Harnham Recruitment post
Martin Brennan, Customer Insight Manager with Permanent TSB discusses how Customer intelligence software helps | Credit Card Marketing Analytics..
Get in touch
today
Can’t find the right opportunity?
If you can’t see what you’re looking for right now, get in contact anyway – we’re always getting clients through the door.
Find BRILLIANT DATA
CAREERS & MORE Data JOBS
THAN ANYONE ELSE
- APPLY RIGHT NOW
Harnham is one of the leading data recruitment companies in the world, and we are dedicated to helping data professionals find their ideal data job.
We're proud to have access to a global network of top employers and recruitment partners, and our team specialize in connecting data professionals to the right data and analytics career opportunities.
Whether you're looking for an entry-level data job or a senior-level analytics position with a top employer, we have the right opportunity for you. Search now to find the perfect data job to match your technical skills and industry experience.
We also provide a variety of career support services, such as resume and interview preparation, to help data professionals get the most out of their job searches. Follow us on LinkedIn for all the latest news and content: