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
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- 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.
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- 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.
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- 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.
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- 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.
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- 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.
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- 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.
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- 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
Director of Analytics & Data Engineering
San Francisco
$250000 - $280000
+ Advanced Analytics & Marketing Insights
PermanentSan Francisco, California
To Apply for this Job Click Here
Director of Analytics and Data Engineering
Location: Remote, US based
Salary: $250-280k Base Salary
We are partnering with a fast growing company at the intersection of fintech, gaming, and digital commerce to hire a Director of Analytics and Data Engineering. This leader will own the company wide data strategy, data ecosystem, and data organization.
If you have built modern data platforms in regulated financial environments and want to shape the future of real time digital economies, this role offers company level impact.
The Opportunity
You will turn data into a strategic, revenue enabling asset by architecting and running a modern data stack that powers real time analytics, forecasting, ML insights, and regulatory reporting. This includes building semantic layers, unified source of truth datasets, experimentation frameworks, and high-quality telemetry.
You will oversee the full data lifecycle so product, commercial, risk, and compliance teams have timely, trusted data that drives GTM strategy, financial planning, customer analytics, churn modeling, fraud detection, and product optimization.
What You Will Lead
- Enterprise data strategy, roadmaps, data product vision, and multi year investment planning
- Data governance including cataloging, lineage, metadata, SLAs, access controls, and auditability, plus standardized KPIs and metric definitions
- Modern data architecture including real time pipelines, event streaming, warehousing, lakes, modeling, orchestration, and CI/CD for analytics and ML
- Analytics leadership across BI, self service, dashboarding, reporting, product analytics, forecasting, experimentation, and cohort analysis
- Data science enablement for predictive models, risk scoring, automated decisioning, and personalization, with infrastructure to deploy models
- Team leadership across data engineering, BI, analytics, and applied science including hiring, mentorship, operational rigor, and quality standards
- Cross functional partnership with Product, Engineering, FP&A, Compliance, and GTM to support product innovation, financial modeling, AML and KYC workflows, and market expansion
- Data activation through dashboards, workflow automation, internal data apps, and decision support tools
What You Bring
- 10+years in data with at least 3 in senior leadership
- Experience in high growth fintech, payments, or regulated financial services
- Proven ability to build and scale enterprise data ecosystems
- Expertise in data governance, quality, and regulatory compliance including AML and KYC
- Strong leadership and communication skills
- Technical depth in cloud warehouses, modeling, ETL and ELT, orchestration, and BI
- Strong SQL and familiarity with Python
- Experience with AWS data services and infrastructure as code
- Bonus: crypto, gaming, or internal tooling experience
Why This Role
Join a company shaping next generation digital commerce and build the data function for a global, highly regulated business. You will have full ownership, executive visibility, and the mandate to design a data organization that enables innovation at scale.
To Apply for this Job Click Here
Data Engineering Manager
San Francisco
$200000 - $250000
+ Advanced Analytics & Marketing Insights
PermanentSan Francisco, California
To Apply for this Job Click Here
Data Engineering Manager
Location: Remote, US based
Salary: $200-250k Base Salary
We are partnering with a fast growing company at the intersection of fintech, gaming, and digital commerce to hire a Data Engineering Manager. This leader will own the company wide data strategy, data ecosystem, and data organization.
If you have built modern data platforms in regulated financial environments and want to shape the future of real time digital economies, this role offers company level impact.
The Opportunity
You will turn data into a strategic, revenue enabling asset by architecting and running a modern data stack that powers real time analytics, forecasting, ML insights, and regulatory reporting. This includes building semantic layers, unified source of truth datasets, experimentation frameworks, and high-quality telemetry.
You will oversee the full data lifecycle so product, commercial, risk, and compliance teams have timely, trusted data that drives GTM strategy, financial planning, customer analytics, churn modeling, fraud detection, and product optimization.
What You Will Lead
- Enterprise data strategy, roadmaps, data product vision, and multi year investment planning
- Data governance including cataloging, lineage, metadata, SLAs, access controls, and auditability, plus standardized KPIs and metric definitions
- Modern data architecture including real time pipelines, event streaming, warehousing, lakes, modeling, orchestration, and CI/CD for analytics and ML
- Analytics leadership across BI, self service, dashboarding, reporting, product analytics, forecasting, experimentation, and cohort analysis
- Data science enablement for predictive models, risk scoring, automated decisioning, and personalization, with infrastructure to deploy models
- Team leadership across data engineering, BI, analytics, and applied science including hiring, mentorship, operational rigor, and quality standards
- Cross functional partnership with Product, Engineering, FP&A, Compliance, and GTM to support product innovation, financial modeling, AML and KYC workflows, and market expansion
- Data activation through dashboards, workflow automation, internal data apps, and decision support tools
What You Bring
- 10+years in data with at least 3 in senior leadership
- Experience in high growth fintech, payments, or regulated financial services
- Proven ability to build and scale enterprise data ecosystems
- Expertise in data governance, quality, and regulatory compliance including AML and KYC
- Strong leadership and communication skills
- Technical depth in cloud warehouses, modeling, ETL and ELT, orchestration, and BI
- Strong SQL and familiarity with Python
- Experience with AWS data services and infrastructure as code
- Bonus: crypto, gaming, or internal tooling experience
Why This Role
Join a company shaping next generation digital commerce and build the data function for a global, highly regulated business. You will have full ownership, executive visibility, and the mandate to design a data organization that enables innovation at scale.
To Apply for this Job Click Here
LEAD DATA ENGINEER
San Francisco, CA
$180000 - $200000
+ Data Engineering
PermanentSan Francisco, California
To Apply for this Job Click Here
LEAD DATA ENGINEER
$180,000 – $200,000 BASE SALARY + EQUITY + BENEFITS
FULLY REMOTE (US ONLY)
COMPANY OVERVIEW
A fast-growing technology company building a modern data platform for mid-sized manufacturing and services businesses. The platform gives finance leaders clear visibility into revenue, costs, and operational performance by unifying complex financial and transactional data into a single, intelligent system.
THE ROLE
This is a hands-on Lead Data Engineer role owning data engineering end-to-end. You will build and scale the core data pipelines that power the company’s platform, ensuring data is accurate, reliable, and production-ready. The role is well-suited for someone who enjoys building from scratch and taking accountability for data quality and scalability.
ROLE RESPONSIBILITIES
- Own data engineering across the platform, from ingestion through transformation and delivery
- Design, build, and maintain scalable data pipelines using Python, Spark, SQL, and modern cloud tools
- Ensure high standards of data quality, testing, and QA, continuously improving reliability
- Partner with product and engineering teams to support analytics, reporting, and customer-facing use cases
- Optimize pipelines for performance, scalability, and maintainability
- Own projects end-to-end, from design and implementation through long-term support
- Help shape data architecture and best practices as the engineering organization grows
SKILLS & EXPERIENCE
- 5-7 years of hands-on data engineering experience building and owning production pipelines end-to-end
- Strong Python and SQL skills; Spark and Databricks experience a plus
- Deep understanding of data quality, testing, and operational excellence
- Experience in fast-paced startups or growth-stage companies, comfortable taking ownership
- Familiarity with modern cloud data platforms and distributed processing tools
BENEFITS
- $180,000 – $200,000 base salary + equity
- Fully remote role within the United States
- High-impact position with significant ownership and autonomy
- Opportunity to help build and define the data engineering function from the ground up
- Well-funded company with strong growth trajectory
To Apply for this Job Click Here
VP of System Transformation
Dallas
$230000 - $300000
+ Advanced Analytics & Marketing Insights
PermanentDallas, Texas
To Apply for this Job Click Here
We are seeking a Senior Director / VP-level leader to own and drive a large-scale ERP and finance systems transformation across Finance, Procurement, Accounting, and Operations.
On Site – Dallas, TX
This role is responsible for the end-to-end ERP strategy, including platform selection (SAP S/4HANA, Oracle ERP, MS Dynamics) and determining the right balance between modular solutions and full-suite ERP architectures. The mandate is deeply transformational-modernizing how the business operates while maintaining stability across critical systems.
You will partner closely with senior finance leadership, lead multi-year enterprise programs, and guide a cross-functional organization through change without disrupting day-to-day operations.
Role Responsibilities:
- Lead a multi-year ERP transformation program, aligned with business strategy, timelines, and financial objectives
- Define the future-state ERP vision and digital ecosystem, including platform and modularity decisions
- Drive process re-engineering across order-to-cash, accounting, treasury, procurement, and supply chain
- Leverage automation, AI / Agentic AI, RPA, and analytics to significantly reduce manual processing
- Ensure process standardization using out-of-the-box ERP capabilities wherever possible
- Oversee hands-on configuration, integration, testing, deployment, and operational monitoring
- Establish ERP best practices around resilience, security, risk mitigation, and documentation
- Lead enterprise change management, ensuring adoption and managing resistance across business units
- Lead and inspire cross-functional teams of engineers, system leaders, and business stakeholders
- Own hiring, mentoring, performance management, budgeting, and forecasting
- Manage external vendors and consulting partners
- Act as a trusted advisor to senior finance and operations leadership
Qualifications:
- 10-15+ years of ERP experience with deep focus on Finance and Supply Chain
- Proven leadership of large-scale, multi-million-dollar ERP implementations
- Experience with Oracle Fusion (preferred), SAP S/4HANA, and/or MS Dynamics
- Strong ability to translate complex business needs into technology-enabled solutions
- Demonstrated success in change management and driving adoption
Role Responsibilities:
- Own a high-impact, enterprise-wide transformation
- Influence how finance and operations work for years to come
- Operate at the intersection of business strategy, technology, and execution
- Lead meaningful change in a complex, global environment
To Apply for this Job Click Here
Azure DevOps Engineer
Newport Beach
$50 - $80
+ Data Science & AI
ContractNewport Beach, California
To Apply for this Job Click Here
Azure DevOps Engineer
Harnham, the leading recruitment specialist in Data and AI is currently partnering with a specialist consultancy providing executive guidance, support & delivery to one of the largest Investment portfolios in the world. We are seeking as Azure DevOps Engineer to work with my client, onsite 5 days per week in Newport Beach
- Role – Azure DevOps Engineer
- Location – Newport Beach, CA
- Pay – $50 – $80 per hour (W2 preferred)
- Length: Extendable 6 months initial contract
- Utilization: 40 hr/week
- Benefits:W2 employees are eligible to health, dental, vision, 401k benefits.
As an Azure DevOps Engineer, you will be supporting a cloud-native environment, with a particular focus on Orchestration. You will get exposure to highly technical, highly regulated, high performance environments, with the opportunity to work, with support, to design, develop & maintain efficient IAC with in a MS environment.
Requirements:
- Strong Python & JavaScript experience
- Azure SME
- Strong C/CD & IAC skills with Terraform
- Demonstrable Orchestration experience with Docker
If this is the type of opportunity that would appeal to you, please apply below or contact Ciarán
To Apply for this Job Click Here
VP of Engineering
New York
$325000 - $350000
+ Data Engineering
PermanentNew York
To Apply for this Job Click Here
VP of Engineering
Location: New York, NY (3 days/week on site minimum)
Compensation: $325,000-$350,000 base + 40% 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 Vice President of Software Engineering to oversee a global engineering organization of 150+ professionals, supported by approximately 10 direct reports. This is a highly visible, reporting directly to the C-suite.
Key responsibilities include:
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Leading the development of customer-facing applications across mobile and web, as well as core backend and infrastructure initiatives.
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Driving the integration of existing products with newly acquired fintech platforms to unlock and maximize strategic value.
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Advancing AI adoption across both products and internal operations, with AI solutions already live in production and a target of achieving 30%+ productivity improvements.
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Scaling platforms to support large-scale, real-time, high-throughput environments.
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Shaping business and technology strategy in close partnership with senior executive leadership.
Ideal Candidate Profile
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10+ years of experience leading commercial software development teams.
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Demonstrated success within scaling fintech organizations with customer-facing products (e.g., Stripe, Plaid, Chime, Chase, Capital One).
- Experience managing teams > 100.
- Experience with regulatory requirements is a plus.
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Deep experience designing and operating large-scale, real-time systems.
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Strong technical grounding, with experience in Java, React, or Scala preferred; background in platform or system migrations is a plus.
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Ability to thrive in a fast-moving Fortune 500 environment with a startup mindset; comfortable in matrixed companies.
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Strategic, forward-looking leader with a strong interest in AI-powered innovation.
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 | VP | Engineering | Fintech | Customer | Customer-Facing | Direct-to-Consumer | B2C | Product | Production | Real Time | Vice President | Regulation | Python | Compliance | Regulatory | Startup Environment | Executive | Scale | Scaling | Artificial Intelligence
To Apply for this Job Click Here
Lead IT System Administrator
Manchester
£65000 - £65000
+ Data Engineering
PermanentManchester, Greater Manchester
To Apply for this Job Click Here
Lead IT System Administrator
Location: Manchester (Hybrid – 2-3 days onsite)
Salary: £65,000 + strong benefits
Employment Type: Permanent
I’m working with a fast-growing UK bank with a strong heritage and a modern vision. They’re looking for a Lead IT System Administrator to take ownership of their UK IT environment and help them scale. This is a hands-on leadership role where you’ll manage one system administrator initially, with plans to grow the team.
You’ll work closely with platform engineering and DevOps teams, driving automation, improving processes.
Key Responsibilities
- Lead and manage IT system administration for UK operations.
- Oversee initial IT setups, SaaS systems, and incident management processes.
- Drive automation of manual processes and implement best practices.
- Collaborate with engineering teams on cloud and platform projects (Atlassian, Rovo AI).
- Provide stakeholder management, take full ownership, and proactively identify improvements.
- Mentor and guide team members as the function scales.
Tech Stack & Skills
- Core: Python, PowerShell, M365, Salesforce.
- Cloud/Platform: Atlassian suite, SaaS systems.
- Desirable: ServiceNow, familiarity with SDLC.
- Strong understanding of incident management and regulated environments (nice to have).
- Genuine interest in technology (e.g., homelab projects).
To Apply for this Job Click Here
Full Stack Engineer (Start Up)
London
£130000 - £170000
+ Data Engineering
PermanentLondon
To Apply for this Job Click Here
Senior Software Engineer – YC-Backed AI Startup
Location: London (Old Street)
Salary: £130K-£160K + significant equity (projected 20x growth)
I’m working with a hyper-growth, YC-backed startup that raised significant Series A funding – one of the largest in tech history. Founded by proven entrepreneurs with multiple successful exits, they’re building AI-powered platforms in the financial sector.
What They’re Looking For
- Experience: 7+ years (minimum 5) in software engineering; ideally with startup exposure.
- Tech Stack:Frontend: React, Next.js, TypeScript
- Backend: Python (FastAPI, Flask, Django), Go, Rust
- Mindset: Founding engineer mentality – proactive, curious, thrives in fast-paced environments.
- Bonus: Experience in high-calibre teams (fintech, AI, or similar).
What You’ll Do
- Build and scale AI-driven platforms for finance.
- Collaborate with a world-class team to solve complex technical challenges.
- Own projects end-to-end in a flat, high-impact environment.
Ready to build the next billion-dollar company? Apply now and join us at the forefront of AI innovation.
To Apply for this Job Click Here
Principal AI Engineer
New York
$225000 - $250000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Principal AI Engineer
New York, New York – hybrid
$225,000 – $250,000 + bonus + LTI; $500,000-$700,000 total
THE COMPANY
Harnham is partnering with one of the most well known financial services companies, which is looking for an experienced AI / ML Engineer. This person will be at the forefront of building AI automation applications for new ways at identifying cost-saving opportunities. You’ll partner with executive teams across the company and own generative AI, LLM and reinforcement learning modeling and deployment.
RESPONSIBILITIES
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Work closely with department heads to align on business goals, define machine learning challenges, and design effective ML solutions.
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Develop and deploy machine learning models, including building data pipelines, orchestrating ML workflows, and optimizing system performance and reliability.
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Maintain a robust codebase by writing well-tested code, covering both functional and non-functional aspects such as unit, integration, and load testing.
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Stay informed on industry trends and advancements in generative AI, LLMs, agentic AI, deep learning, experiment with new model concepts, and run both offline and online evaluations.
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Actively share knowledge through internal presentations, tech talks, and by promoting best practices in engineering and technology use.
SKILLS AND EXPERIENCE
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Advanced degree (Master’s or PhD) in Computer Science, Machine Learning or a related field.
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Over 7 years of hands-on experience developing and deploying production-ready machine learning / deep learning / AI systems, covering the full model lifecycle-training, tuning, deployment, serving, and monitoring.
- Enterprise-level application experience, ideally in real-time preferred.
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Expertise in cloud infrastructure (especially AWS), machine learning orchestration tools like Kubeflow, TensorFlow, and the use of Feature Stores in live environments.
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Experience as a tech-lead for scaling MLE teams preferred.
- Commercial experience combination of big tech and scaling startups / scrappy environments a plus.
BENEFITS
The compensation package contains a base salary, bonus, LTI 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
Artificial Intelligence | Generative AI | GenAI | Machine Learning | ML Engineer | Engineering | Deployment | Production | Real Time | Enterprise | Statistics | Mathematics | Financial Services | Banking | Python | Anomaly Detection | Fintech | Agentic AI | AI Agents
To Apply for this Job Click Here
Credit Strategy Analyst – (SME Lending)
City of London
£50000 - £60000
+ Risk Analytics
PermanentCity of London, London
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
Senior Credit Strategy Analyst – (Business Lending)
City of London
£70000 - £80000
+ Risk Analytics
PermanentCity of London, London
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
Senior Collections Manager
City of London
£90000 - £100000
+ Risk Analytics
PermanentCity of London, London
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
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