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
Analytics Manager – Financial Services
London
£75000 - £90000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
Analytics Manager
London, Hybrid | Up to £90,000 + bonus
This is a great opportunity to step into a visible Analytics Manager role where you will shape data-driven solutions for major financial services clients. You will lead a small team, own client relationships, and turn complex property and mortgage data into actionable insight that directly influences products and commercial decisions.
The Company
They are a specialist data and analytics business that supports banks, lenders, and financial services organisations with property, mortgage, and credit risk insight. Their products and analytics help clients make faster, smarter lending decisions using robust data and advanced modelling. You will join a collaborative analytics team that partners closely with product and commercial colleagues. The culture is dynamic, supportive, and geared towards innovation and continuous improvement.
The Role
As Analytics Manager, you will:
- Lead and mentor a team of analysts, managing day-to-day delivery and supporting their development.
- Own the delivery of analytics solutions for financial services clients, with a particular focus on property and mortgage data.
- Work directly with clients to understand their challenges and translate these into data-driven solutions.
- Present analytical insight to senior stakeholders, clearly explaining complex concepts to technical and non-technical audiences.
- Partner with product and commercial teams to shape new features and propositions using data.
- Support pre-sales activity by exploring client data, scoping solutions, and demonstrating the value of analytics.
- Proactively identify trends, risks, and opportunities in client and market data to inform product and strategy.
Your Skills And Experience
You will be a strong fit if you have:
- Solid commercial experience in analytics within financial services, mortgages, credit risk, or a closely related area.
- Proven experience leading or mentoring analysts, with the ability to manage delivery across multiple projects.
- Strong technical skills in Excel and SQL, with working knowledge of Python for analysis and modelling.
- A data storytelling mindset, able to turn complex analysis into clear, actionable insight for clients.
- Experience working with or alongside banks, mortgage lenders, or credit decisioning teams.
- A highly numerate, analytical approach with a creative, problem-solving mindset.
- Strong stakeholder skills, with confidence presenting to senior, technical and non-technical audiences.
- An interest in property, housing, and mortgage markets.
What They Offer
- Base salary up to £90,000, plus bonus and competitive benefits.
- Hybrid working, with 2 days per week in the London office and set team time together on Tuesdays.
- The chance to lead a high-impact analytics function with direct exposure to senior stakeholders and major financial institutions.
- Clear progression opportunities as the analytics and product functions continue to grow.
- A collaborative environment where new ideas, curiosity, and innovation are encouraged.
How To Apply
If you are an Analytics Manager, or a senior analyst ready to step up, and you are excited by the blend of client-facing work, team leadership, and hands-on analytics in London, apply with your CV to find out more.
To Apply for this Job Click Here
Strategy Insights Analyst
Southampton
£40000 - £50000
+ Advanced Analytics & Marketing Insights
PermanentSouthampton, Hampshire
To Apply for this Job Click Here
Strategy Insight Analyst
Southampton (5 days per week on-site)
£40,000 – £50,000 + benefits
A well-established UK financial services business is hiring a Strategy Insight Analyst to join a growing operations analytics function. The role sits at the intersection of data, operations and strategy, supporting decision-making across the full customer lifecycle.
This position is suited to someone who enjoys getting close to how a business actually runs and using data to improve processes, outcomes and customer experience.
The role
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Deliver analytical insight across customer acquisition, decisioning, account management and collections
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Support operational and strategy teams with data-led recommendations
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Work on end-to-end analytical projects: data extraction, analysis, insight and stakeholder reporting
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Translate complex analysis into clear, practical outputs for non-technical audiences
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Contribute to the development of operational strategy and performance optimisation
What they’re looking for
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2+ years’ experience in an analytical role (financial services preferred)
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Strong SQL skills and experience with a data visualisation tool
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Evidence of owning analytical work from problem definition to business impact
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Commercially minded, curious and comfortable working in a fast-moving environment
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Strong communication skills and a collaborative working style
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UK experience required (no sponsorship available)
Why consider it
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Broad exposure across multiple business areas rather than a narrow reporting role
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High visibility with senior stakeholders
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Growing analytics team with clear progression opportunities
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Opportunity to shape the role based on your interests and strengths
Location: Southampton – 5 days per week on-site
Salary: £40,000-£50,000
Find out more and apply via the link below.
To Apply for this Job Click Here
Software Engineer
London
£500 - £550
+ Data Engineering
ContractEngland
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Senior Backend Engineer – Commercial Data & HubSpot
London or UK/EU Remote, Outside IR35
A high‑impact contract leading the Commercial Data Manager platform and taking full ownership of a growing HubSpot ecosystem. This role is ideal for a senior engineer who enjoys working across data, systems integrations and commercial tooling.
The Company
They are a digital organisation scaling rapidly following recent investment, with a sharpened focus on commercial operations and data quality. Their commercial platform and HubSpot infrastructure are evolving fast, and they now want to bring ownership fully in‑house to increase agility and unlock new capabilities across their teams.
The Role and Deliverables * Lead development and ongoing improvement of the Commercial Data Manager platform.
* Take full technical ownership of HubSpot, including maintenance, enhancements and feature delivery.
* Replace the existing external agency and ensure all HubSpot development and integrations run in‑house.
* Build and maintain integrations across services, ensuring clean data flow into commercial systems.
* Work closely with commercial stakeholders to translate requirements into scalable technical solutions.
* Support architectural decisions and collaborate with the wider engineering leadership group.
Your Skills and Experience * Strong backend development experience with Node.js, JavaScript and TypeScript.
* Proven hands‑on HubSpot experience, ideally owning or delivering complex integrations or automation.
* Confident in system design, data modelling and architecting integration‑heavy environments.
* Experience working in cloud ecosystems, preferably AWS.
* Effective communicator with the ability to work directly with commercial teams and non‑technical stakeholders.
* Proactive, collaborative and comfortable taking ownership of key systems.
How to Apply
If you are a senior backend contractor with proven HubSpot expertise and a passion for building scalable commercial systems, apply now to find out more.
To Apply for this Job Click Here
Senior Data Engineer
Leeds
£75000 - £75000
+ Data Engineering
PermanentLeeds, West Yorkshire
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Senior Data Engineer
Leeds/Manchester – hybrid 2x week in office
Salary: up to £75,000
This is an opportunity to play a key role in building and improving a modern cloud data platform for a growing financial organisation. You will shape data architecture, deliver high‑quality pipelines, and help uplift engineering standards in a team that values innovation, governance, and technical leadership.
The Company
They are a fast‑growing financial services organisation with a strong presence across the UK. Their work spans commercial banking, fintech‑focused services, and SME lending. With continued investment in data and technology, they are scaling their data capabilities to support new products, stronger analytics, and an ambitious transformation agenda. You will join a team focused on building a trusted, well‑governed, and scalable data environment.
The Role
* Own the design, build, and optimisation of cloud‑based ELT and ETL pipelines.
* Shape the data warehouse architecture and ensure data is prepared for analytics, reporting, and operational use.
* Improve existing processes and contribute to a modernised engineering approach.
* Introduce governance best practices including data quality, observability, lineage, and access control.
* Mentor a junior engineer and support the uplift of engineering standards.
* Contribute to potential migration projects and wider transformation initiatives.
* Collaborate with data, engineering, and business teams in an agile environment.
Your Skills and Experience
* Strong commercial experience working as a Data Engineer in a cloud environment.
* Proven capability with AWS, Python, SQL, and Airflow.
* Hands‑on experience designing and maintaining data pipelines and data models.
* Knowledge of Redshift or similar cloud data warehouse tools.
* Experience with infrastructure‑as‑code tools such as Terraform.
* Understanding of data governance, quality, and architectural best practices.
* Comfortable operating in fast‑scaled environments such as fintechs, scale‑ups, or modern engineering teams.
What They Offer
* Hybrid working with 2-3 days per week in the office.
* A collaborative culture and clear opportunities for technical growth.
* Exposure to modern tooling including AWS, Redshift, Airflow, Terraform, and dbt.
* The chance to shape a data platform and have meaningful influence on engineering standards.
How to Apply
If you are interested in this Senior Data Engineer position, please apply with your CV.
To Apply for this Job Click Here
Software Engineering Lead (Data & Analytics Enablement)
Atlanta
$160000 - $180000
+ Data Engineering
PermanentAtlanta, Georgia
To Apply for this Job Click Here
Software Engineering Lead, Data & Analytics
Location: US Remote (preferred states – Georgia, Alabama, New York, Colorado, Florida)
Salary: $160-180k base + bonus
We’re partnering with a large, well-capitalized private equity platform to hire a Senior Software Engineer to support and scale their growing Data & Analytics organization.
This role sits at the intersection of software engineering, data infrastructure, and analytics products, with a direct line of sight into how data is used to drive investment decisions and portfolio performance across a global, multi-brand ecosystem.
The Opportunity
The business is investing heavily in its internal data and analytics capabilities. This hire will play a key role in building the software foundations that allow data scientists and analysts to deliver production-ready insights.
You’ll work closely with data science, analytics, and engineering teams to translate business problems into scalable, reliable analytics products, including data pipelines, internal applications, and modern user interfaces.
This is a hands-on engineering role with end-to-end ownership across the full development lifecycle.
What You’ll Be Doing
- Partner with data science and analytics teams to turn business problems into engineered solutions
- Build and maintain data pipelines and cloud infrastructure supporting analytics and ML workloads
- Develop production-ready analytics tools and internal applications delivered through modern UIs
- Support analytics solutions from exploratory analysis through prototyping, validation, and deployment
- Build custom packages and services, including automated CI/CD pipelines with testing
- Work across ETL frameworks to support new and existing data feeds
- Stay current on modern software engineering tools and best practices
What We’re Looking For
- 8+ years of professional software engineering experience
- Strong experience building and deploying production systems end to end
- Proficiency in Python, SQL, and JavaScript (or similar languages)
- Experience designing and operating cloud-based architectures using Docker, Kubernetes, and related tools
- Background working closely with data science and analytics teams
- Experience translating business requirements into scalable technical solutions
- Strong communication skills across technical and non-technical stakeholders
Nice to Have
- Experience building analytics or data-heavy products used by business teams
- Familiarity with GCP, BigQuery, Postgres, and Flask
- Experience with CI/CD, testing frameworks, and software lifecycle best practices
- Comfort operating in fast-paced, deadline-driven environments
To Apply for this Job Click Here
Operations Strategy Analyst
London
£40000 - £50000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
Operations Strategy Analyst
Southampton with hybrid working. Competitive salary plus bonus.
This is an excellent opportunity to join a growing financial services organisation where data is central to decision making. You will help shape operational strategy, improve customer journeys, and influence key business outcomes through high quality analytics.
The Company
They are a well‑established personal finance provider with a strong focus on customer outcomes and operational excellence. Data plays a vital role in how they optimise processes, manage risk, and drive continuous improvement. You will join an inclusive, collaborative environment where analytical thinking is encouraged and cross‑functional work is part of everyday activity.
The Role
* Analyse complex operational datasets to identify trends, performance gaps, and process improvement opportunities
* Build dashboards and reporting tools to monitor KPIs including processing times, service levels, staffing metrics, and customer satisfaction
* Conduct root cause analysis and turn data into clear, actionable insight for non‑technical stakeholders
* Develop predictive models to support forecasting, capacity planning, and workforce optimisation
* Collaborate with data teams to ensure accurate, accessible, and well‑structured data
Your Skills and Experience
* Strong commercial experience in analytics within an operations or financial services setting
* High proficiency in SQL and a programming language such as Python or R
* Confidence building visualisations and dashboards using Power BI, Tableau, or similar tools
* Strong understanding of operational data, forecasting techniques, or process optimisation
What They Offer
* Competitive salary and discretionary annual bonus
* Hybrid working with flexibility following probation
* 25 days holiday plus bank holidays, increasing with service
* Life cover, dental benefits, private medical insurance, income protection
How to Apply
If you are an Operations Strategy Analyst looking to make a meaningful impact through data, please submit your CV to be considered.
To Apply for this Job Click Here
Machine Learning Engineer
$150000 - $200000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
AI / Machine Learning Engineer
Fully Remote
$150-200K plus equity
We’re hiring an AI/ML Engineer to build the intelligence behind a new financial platform. This is a foundational role where you’ll design and deploy models that power real underwriting, cash-flow forecasting, and automated financial decisions used in production.
You’ll work end-to-end from messy transaction data to real-time ML systems, and your work will directly influence how businesses manage and move money.
What You’ll Do
- Build and ship ML models that analyze and predict small-business cash flow.
- Develop underwriting and decisioning systems that drive real financial outcomes.
- Create real-time signals and insights that balance risk, growth, and trust.
- Own the full ML lifecycle: data → modeling → deployment → monitoring.
- Partner closely with product and leadership to shape the AI roadmap.
What We’re Looking For
- Experience shipping ML or data-driven systems into production.
- 2+ years of experience.
- Experience within a start-up environment.
- Comfort working with noisy, real-world financial or transactional data.
- Strong Python and applied ML skills.
- Product-minded, impact-driven, and excited by high-ownership environments.
Why This Role
- Your models will directly control real financial decisions.
- You’ll help define the AI foundation of an early-stage fintech.
- High ownership, fast iteration, and visible impact from day one.
To Apply for this Job Click Here
Lead AI Engineer
New York
$200000 - $225000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Lead AI Engineer
Toronto, ON – 3 days onsite/week
200,000 – 225,000 CAD + bonus + LTI; 300,000 – 400,000 CAD 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 | Recommendation Engine | Recommender System | Personalization | Agentic AI | AI Agents
To Apply for this Job Click Here
VP of Engineering – Fintech
New York
$325000 - $350000
+ Data Engineering
PermanentNew York
To Apply for this Job Click Here
VP of Engineering – Fintech
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 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 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 | Product | Production | Real Time | Vice President | Regulation | Python | Compliance | Regulatory | Startup Environment | Executive | Scale | Scaling | Artificial Intelligence
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Staff AI Engineer
New York
$225000 - $250000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Staff 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
-
Work closely with department heads to align on business goals, define machine learning challenges, and design effective ML solutions.
-
Develop and deploy machine learning models, including building data pipelines, orchestrating ML workflows, and optimizing system performance and reliability.
-
Maintain a robust codebase by writing well-tested code, covering both functional and non-functional aspects such as unit, integration, and load testing.
-
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.
-
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
AI Engineering Lead
New York
$190000 - $200000
+ Data Science & AI
PermanentNew York
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AI Engineering Lead
New York City (5 days a week in‑office)
$200,000 base / ~$450,000 total compensation
We’re partnered with a high‑performing financial services firm operating at the intersection of technology, data, and investment decision‑making. They’re looking to bring on a senior AI leader to drive the next phase of applied AI across core investment and research workflows.
This is a hands‑on leadership role suited to someone who has built and owned production‑grade AI systems in fast‑moving, high‑stakes environments.
What you’ll be doing
- Owning the technical direction for applied AI initiatives across investment and operational use cases
- Translating complex problems from investment, trading, and research teams into scalable AI solutions
- Designing and deploying LLM‑powered systems that move beyond experimentation and into daily use
- Building intelligent, multi‑step AI workflows that integrate securely with internal data and tooling
- Setting standards around model evaluation, deployment, monitoring, and iteration
- Acting as a technical mentor and bar‑raiser within a small, elite engineering group
What they’re looking for
- Strong engineering background with real production AI ownership
- Experience delivering AI/ML systems within hedge funds, asset managers, fintechs, or quantitative environments
- Deep understanding of modern LLM architectures, agent‑style systems, and applied ML patterns
- Comfortable working closely with senior stakeholders in a commercially driven setting
- Happy to be fully on‑site in New York, five days a week
Why this role
- Meaningful ownership over AI strategy, not a research sandbox
- Direct exposure to investment decision‑makers
- Highly competitive compensation aligned with top‑tier buy‑side talent
- A mandate to build systems that are actually used – not just explored
If you’re coming from a hedge fund, systematic trading firm, or fintech and want to lead applied AI where it genuinely matters, this is one worth exploring.
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Data Engineering Manager
San Francisco
$200000 - $250000
+ Advanced Analytics & Marketing Insights
PermanentSan Francisco, California
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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.
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