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
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
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
Senior Fraud Analyst
£45000 - £55000
+ Risk Analytics
PermanentWest Midlands
To Apply for this Job Click Here
Senior Fraud Analyst
Up to £55,000
Hybrid
West Midlands
Company:
One of our fintech banking clients is looking for a strong Senior Fraud Strategy Analyst to join their fraud analytics function where you will be developing fraud strategies and providing insights on fraud performance using tools like SAS, SQL, and Python.
Responsibilities:
As a Senior Fraud Strategy Analyst, you will be responsible for:
- Crafting and implementing effective fraud strategies to mitigate risks and protect different clients and customers
- Utilizing SAS, SQL, and Python to analyse data, identify fraud patterns, and develop new fraud rules.
- Managing and mitigating various types of fraud with a focus on application fraud.
- Collaborating with multiple vendors to enhance fraud prevention measures and ensure seamless integration.
- Leveraging your experience in the UK banking sector to align strategies with regulatory requirements and industry best practices.
Key Requirements:
- Extensive experience in developing comprehensive fraud strategies.
- Proficiency in SAS, SQL, and/or Python
- In-depth knowledge of different types of frauds, ideally with experience in Application Fraud.
- Experience working with different fraud systems (Ideally Hunter & Cifas)
Salary: Up to £55,000 Per Year + Strong Benefits Package
To Apply for this Job Click Here
Fraud Strategy Analyst
£35000 - £40000
+ Risk Analytics
PermanentWest Midlands
To Apply for this Job Click Here
Fraud Strategy Analyst
Up to £40,000
Hybrid
West Midlands
Company:
One of our fintech banking clients is looking for a strong Fraud Strategy Analyst to join their fraud analytics function where you will be developing fraud strategies and providing insights on fraud performance using tools like SAS, SQL, and Python.
Responsibilities:
As a Fraud Strategy Analyst, you will be responsible for:
- Crafting and implementing effective fraud strategies to mitigate risks and protect different clients and customers
- Utilizing SAS, SQL, and Python to analyse data, identify fraud patterns, and develop new fraud rules.
- Managing and mitigating various types of fraud with a focus on application fraud.
- Collaborating with multiple vendors to enhance fraud prevention measures and ensure seamless integration.
- Leveraging your experience in the UK banking sector to align strategies with regulatory requirements and industry best practices.
Key Requirements:
- Extensive experience in developing comprehensive fraud strategies.
- Proficiency in SAS, SQL, and/or Python
- In-depth knowledge of different types of frauds, ideally with experience in Application Fraud.
- Experience working with different fraud systems (Ideally Hunter & Cifas)
Salary: Up to £40,000 Per Year + Strong Benefits Package
To Apply for this Job Click Here
Senior Credit Risk Analyst
City of London
£40000 - £50000
+ Risk Analytics
PermanentCity of London, London
To Apply for this Job Click Here
Senior Credit Risk Analyst
Up to £50,000
Hybrid
Greater London
The Company
I am hiring a Senior Credit Risk Analyst leading dynamic FinTech based in London. Within this role you will be bringing your credit strategy and scorecard development experience to drive business growth and profitability using tools like SQL and Python daily.
The Role
As a Senior Credit Risk Analyst, you will be:
- Developing new insights to drive optimisation of credit risk strategies
- Detecting new trends on customer data to develop wider business strategies
- Developing credit risk strategies for acquisitions and collections
- Developing new and updating existing credit risk scorecards
- Working with senior leadership to implement/improve strategy
- Using SQL and Python daily for strategy development
Your skills and experience
To be successful as a Senior Credit Risk Analyst, you will need:
- Experience as a credit risk strategy analyst in unsecured lending
- Experience working in a fast-paced environment
- Experience developing credit risk strategies for Acquisitions and/or experience developing credit risk scorecards
- Experience working with SQL and Python
Benefits
Up to £50,000 + Benefits
To Apply for this Job Click Here
Data Governance Manager
Birmingham
£50000 - £55000
+ Data Management & Governance
PermanentBirmingham, West Midlands
To Apply for this Job Click Here
DATA GOVERNANCE MANAGER
UP TO £55,000 + BENEFITS
HYBRID – West Midlands
If you’re a hands-on Data Governance professional looking to build out a function from the ground up in a collaborative, regulated environment – this could be your next big step.
THE COMPANY:
I’m working with a growing financial services business that’s investing heavily in its data function. With a lean structure, a clear mandate, and strong backing, they’re rebuilding their Data Governance capability – and looking for someone to lead from the front.
You’ll join a business where everyone pitches in, leadership is accessible, and your voice will genuinely shape the way data is managed and protected.
THE ROLE:
As Data Governance Manager, you’ll be the key figure in adapting, embedding, and owning governance frameworks across the business. You’ll support privacy workflows, drive best practices, and work closely with teams across customer, operations, and data science to get things done.
Key responsibilities include:
- Lead and evolve data governance processes and frameworks
- Support privacy management and internal assessment reviews
- Perform gap analysis and implement actionable improvements
- Build relationships with cross-functional stakeholders and project teams
YOUR SKILLS AND EXPERIENCE:
A successful Data Governance Manager will bring:
- Experience within financial services or a heavily regulated industry
- Strong understanding of governance, data privacy, and risk frameworks
- Confident communicator with the ability to build stakeholder trust
- Previous line management or mentoring experience
Bonus points for:
- SQL or technical literacy to support data discussions
- Experience with enterprise data governance/privacy tools
- Excel, PowerPoint, and data visualisation exposure
THE BENEFITS:
You’ll receive a salary of up to £55,000 depending on experience, plus a competitive benefits package.
HOW TO APPLY:
Please register your interest by sending your CV to Molly Bird via the apply link on this page.
To Apply for this Job Click Here
Data Analyst
London
£35000 - £45000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
Data Analyst
Up to £45,000
Remote-first (London preferred)
I’m working exclusively with a growing FinTech start-up operating at the intersection of lenders, FinTechs and investors. They help bring clarity and transparency to large credit portfolios by integrating directly into client data and turning it into structured, decision-ready insight.This role is well suited to someone early in their career who enjoys working hands-on with data, getting into the detail, and taking ownership of how messy, real-world datasets are turned into something reliable and usable.
The Role
You’ll sit at the heart of the data function, working with large credit and customer datasets provided by FinTech partners.
The focus of the role is on:
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Ingesting and validating portfolio-level credit data
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Cleaning, mapping and standardising messy datasets
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Building structured tables and pipelines that feed directly into reporting products
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Using SQL day to day to explore, transform and shape data
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Supporting reporting used by both investors and FinTechs to monitor performance
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Helping surface insights around credit quality, customer movement and portfolio behaviour
Your Skills and Experience
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Strong academic background – STEM degree pregerred
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At least 1 year of industry experience
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Excellent SQL – this is core to the role and used daily
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Experience working with large, messy datasets, including cleaning, structuring and standardising data
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Comfortable building tables, transformations and basic data pipelines
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Exposure to financial services, banking or insurance is highly desirable
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Experience with data visualisation tools such as DOMO, Power BI or Looker
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Any exposure to moving data between systems or data engineering concepts is beneficial
Working Pattern & Package
-
Salary up to £45,000
-
Remote-first working initially – will be hybrid into a London office later in the year.
To Apply for this Job Click Here
Lead CRM Architect
London
£90000 - £130000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
LEAD CRM ARCHITECT (HUBSPOT)
HYBRID – LONDON – 2 DAYS A WEEK IN THE OFFICE
SALARY – £90,000-£130,000
THE COMPANY
A leading B2B blockchain analytics organisation is scaling, particularly across sales and marketing. To support the next stage of scale, the business is building out a dedicated GTM Engineering function – this hire is a critical part of that build!
THE ROLE
As a HubSpot Architect, you can expect to be involved in the following:
- This is an individual contributor role that acts as the technical bridge between the operational and commercial teams.
- You’ll be the organisation’s CRM authority, owning technical and process readiness across their GTM stack, with HubSpot sitting at its core.
- You’ll take ownership of key initiatives including improving lead flows, supporting new sales process launches, and driving better integration between HubSpot and the rest of their tooling.
- Collaboration with RevOps, engineering, and commercial stakeholders will be central as you help build a scalable, efficient GTM engine capable of supporting a rapidly expanding sales organisation.
- Growth in this role comes not from people management but from increased technical scope, scale, and architectural influence.
YOUR SKILLS AND EXPERIENCE
- Hands-on expertise in HubSpot, including complex configuration, automation, and optimisation
- A background that blends marketing exposure with technical GTM/CRM ownership is great
- Experience using low-code automation tools and knowing when to partner with engineering for more advanced work
- Strong understanding of the B2B SaaS customer lifecycle and how technical architecture influences the wider funnel
- Experience in environments where you’ve built or rebuilt GTM tooling and processes multiple times
- Comfortable getting the absolute maximum value from a tech stack, including AI-assisted workflows and interaction with internal applications
- Interest in crypto or blockchain is a strong plus
- Able to work in a fast-scaling business
BENEFITS
- Salary up to £130,000
- Opportunity to build a GTM engine from the ground up in a high-growth, technically progressive organisation
- Hybrid working
To Apply for this Job Click Here
Senior Credit Risk Consultant
City of London
£50000 - £55000
+ Risk Analytics
PermanentCity of London, London
To Apply for this Job Click Here
Senior Credit Risk Consultant – (IFRS9)
Up to £55,000
Hybrid
London
The Company
I am hiring a Senior Credit Risk Consultant for one of the biggest UK consultancies focused on working with some of the biggest banks and fintechs in the lending market. In this role you will leading the IFRS9 wholesale and retail modelling across unsecured and secured lending using SQL and Python.
The Role
As a Senior Credit Risk Consultant, you will be:
- Developing credit risk application and behavioural scorecard models
- Using analytics skills to improve credit risk strategies
- Monitoring the performance or the scorecard and the portfolio performance.
- Working with and presenting to senior stakeholders daily within the role.
- Using SAS to develop credit risk models daily.
Your skills and experience:
To be successful as a Senior Credit Risk Consultant, you will need:
- Strong experience developing credit risk IFRS9, IRB, and/or Scorecards
- Experience as a credit risk using Python or SQL daily for IFRS9 development
- Experience working for a bank or in financial services
- Excellent communication skills
Benefits
Up to £55,000 + benefits package
To Apply for this Job Click Here
Industry Hub
HARNHAM
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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
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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.
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