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
Senior Analyst
London
£70000 - £85000
+ Advanced Analytics & Marketing Insights
PermanentLondon
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Senior Analyst
Location: London – 3 days per week
Salary: Up to £85,000
A private equity-backed company in the green tech space is looking for a Data Scientist / Analytics professional to join a growing team. This is a hands-on role with real ownership, helping the business turn large volumes of data into actionable commercial insights.
What You’ll Do:
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Work closely with the Head of Analytics to deliver actionable insights across the network of charging points
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Analyse customer behaviour, usage patterns, and operational data to inform strategy and growth
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Build statistical models for segmentation, regression, predictive modelling, and forecasting
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Support pricing and revenue optimisation initiatives, including dynamic pricing strategies
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Query and process large datasets coming from multiple real-time sources
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Translate complex analysis into clear recommendations for non-technical stakeholders
What You’ll Need:
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Strong SQL and Python skills; experience in AWS environments is a plus
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Solid statistical analysis background (segmentation, regression, forecasting)
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Hands-on, adaptable, and comfortable in a smaller, fast-moving team environment
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Excellent communication skills and ability to take ownership of projects
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Experience delivering actionable insights rather than exploratory or purely machine learning work
Interview Process:
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Remote competency interview and CV review
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Face-to-face interview with testing component (details to be confirmed)
Find out more and apply via the link below.

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Data Governance Manager
Birmingham
£50000 - £55000
+ Data Management & Governance
PermanentBirmingham, West Midlands
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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.

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Marketing Data Manager
Warwick
£50000 - £60000
+ Digital Analytics
PermanentWarwick, Warwickshire
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Customer Selections and Analytics Team Lead
Location: Midlands – Hybrid (1 day per week in office) | Salary: Up to £60,000 + 17.5% bonus | Start Date: ASAP
The Company
A highly trusted UK mutual organisation and leading provider of general insurance and financial services. With a reputation built on customer satisfaction and mutual values, this business consistently ranks among the top UK companies for customer experience and employee engagement.
This role sits within the Customer Intelligence division, driving data-driven marketing and customer engagement strategies across all service lines. The team operates in a collaborative environment with exposure to senior stakeholders and high-impact projects.
The Role
As Customer Selections and Analytics Team Lead, you’ll lead the planning and delivery of all customer selections and campaign evaluation activities. You’ll manage a team of six SQL specialists who build automated processes for multi-channel campaigns, ensuring timely delivery of high-quality outputs.
This is a hands-on leadership role with strong stakeholder management focus. You’ll work across Financial Services, Personal Lines, and Commercial Lines, translating campaign briefs into technical requirements and ensuring seamless delivery across DM, email, and digital channels.
You’ll collaborate with campaign analytics and A/B testing specialists, helping design experiments and evaluate ROI. The role involves supporting transformation projects including migration to a new customer data platform and rollout of a new CRM tool (Dotdigital).
Key Responsibilities
Strategic Planning & Stakeholder Management
- Work with stakeholders to understand campaign plans, continuously creating and updating plans for all selections and evaluation
- Prioritise work, communicating effectively with the team and ensuring campaigns are delivered on time to quality standards
- Become subject matter expert for campaign brief and evaluation processes
Campaign Delivery & Technical Oversight
- Oversee customer selections and campaign evaluation, ensuring campaigns use relevant data and advanced statistical techniques
- Translate briefs into technical requirements, selecting target audiences based on behavioural data
- Join data from multiple sources (CRM, transactional systems, engagement events) and use APIs to connect to marketing automation platforms
- Design and implement QA processes ensuring regulatory requirements are met
Team Leadership & Development
- Lead, manage, motivate and develop six direct reports
- Lead daily scrums, ensuring team members are comfortable with pipelines and escalating issues
- Work with SMEs to ensure clear view of required skills with development plans in place
- Coach and guide team members, supporting continuous learning
Data & Insight Strategy
- Build detailed understanding across datasets to become SME for sourcing, analysing and delivering customer data
- Ensure campaigns utilise data effectively, taking forward-looking view on future integrations and tools
- Build reporting capability to track team effectiveness and deliverables
Projects & Continuous Improvement
- Support Financial Services platform transition, gaining access to more granular customer data
- Help deliver migration to new unified customer data platform
- Explore customer behaviour and product engagement, operationalising insights into revenue-driving campaigns
- Continuously develop knowledge to remain up to date with technology and methods
Skills & Experience
Essential:
- Advanced SQL experience (SQL Server, Oracle, PostgreSQL)-hands-on technical leadership role where SQL is used daily
- Previous line management experience-formal or informal leadership of analysts or campaign specialists
- Strong experience in customer selections, audience targeting or campaign analysis
- Experience planning and delivering campaigns and evaluation across multiple channels
- Strong experience providing data insights to aid strategic decision-making with clear stakeholder communication
- Experience with data visualisation tools (Power BI, Tableau, Qlikview)
- Ability to coach and guide others in complex subject matter
- Excellent communication skills with ability to flex style according to stakeholder requirements
Desirable:
- Experience working to agile methodologies and sprint basis
- Experience with marketing automation platforms (Unica, Salesforce Marketing Cloud, Dotdigital)
- Background in insurance, financial services, or regulated industries
- Experience with APIs to connect data sources to CRM platforms
- Exposure to A/B testing or campaign evaluation
- Familiarity with customer data platforms (CDPs)
What’s on Offer
- Salary up to £60,000 + 17.5% annual bonus
- Hybrid working: 1 day per week in office
- Strong learning and development focus with clear internal mobility across Data Science, Customer Analytics and Digital teams
- Supportive culture with exposure to senior stakeholders and high-impact projects
- Genuine progression opportunities within hub-and-spoke model
- Stable employer consistently ranked among UK’s best for customer satisfaction and employee experience
- Access to cutting-edge data platforms and tools
Interview Process
- Single-stage interview (in-person or remote)
- Includes advance SQL test (sent out beforehand)
- Meet with Customer Selections and Analytics Manager and senior stakeholders
How to Apply
Send your CV to Mohammed Buhariwala at Harnham or connect on LinkedIn.
Keywords
Customer Selections, Campaign Analytics, Team Lead, CRM Manager, SQL, Marketing Automation, Financial Services, Insurance, Data Analytics, Leadership, Campaign Delivery, Customer Segmentation, Multi-channel Marketing, Midlands, Hybrid

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Senior Acquisition Marketing Consultant
City of London
£600 - £650
+ Advanced Analytics & Marketing Insights
ContractCity of London, London
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Senior Acquisition Marketing Consultant (Contract)
Initial 6-9 Months | Inside IR35 | Flexible Day Rate
Location: Hybrid – 2-3 days per week in London
Opportunity Overview
A leading financial services organisation is seeking an experienced Senior Acquisition Marketing Consultant to drive the end-to-end customer acquisition strategy across multiple distribution channels. This is a high-impact interim role within a growing commercial function, ideal for a commercially minded leader with strong expertise in regulated-industry marketing and multi-channel acquisition.
You will shape and deliver the organisation’s customer acquisition plan, working closely with channel owners, commercial stakeholders, and external partners. This role provides significant ownership within a rapidly expanding credit products portfolio, offering exposure to both strategic leadership and hands-on delivery.
Key Responsibilities
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Lead the development and execution of the customer acquisition plan across all distribution channels, including partnerships.
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Champion the acquisition strategy internally, influencing investment decisions and ensuring prioritised initiatives are delivered effectively.
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Identify, assess, and implement new opportunities to drive incremental acquisition volumes (e.g., marketing channels, partner propositions, commercial initiatives).
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Own the Financial Promotions approval process, ensuring all marketing activity meets regulatory standards.
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Act as the senior point of contact for acquisition performance reporting, presenting insights and upcoming activities to stakeholders up to C-suite level.
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Support channel leads with value proposition development, pricing, and promotional strategies.
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Collaborate with cross-functional teams to optimise application journeys, conversion rates, and commercial effectiveness.
Essential Experience & Skills
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Strong background in marketing within a regulated environment (ideally consumer credit or broader financial services), with solid understanding of Financial Promotions requirements.
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Highly analytical, confident working with diverse data sources including digital analytics, channel performance data, risk insights and usage of tools such as SQL, Google Analytics and Tableau.
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Proven experience across a broad set of marketing channels: aggregators/comparison sites and digital (search, social, display).
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Deep understanding of customer application and conversion journeys, including optimisation best practices.
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Excellent stakeholder management skills, able to communicate clearly and influence at senior levels internally and externally.
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Demonstrated ability to coach and develop team members.
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Experience building acquisition forecasts and commercial plans.

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Senior DevOps Engineer
Watford
£75000 - £85000
+ Data Engineering
PermanentWatford, Hertfordshire
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Senior DevOps Engineer
Hybrid – 3 Days Onsite
Salary: up to £85,000
This established company is looking to hire a DevOps professional with a passion for automation and infrastructure-as-code.
The Opportunity
You’ll play a key part in:
- Designing and owning CI/CD pipelines using GitHub Actions
- Automating infrastructure using Terraform
- Managing deployment flows from development through to production
- Collaborating with technical teams to ensure smooth platform rollouts
- Supporting new initiatives including a self-serve data sandbox and a planned AI platform
This is a newly created position – ideal for someone who thrives in environments where they can shape the role, build processes from scratch, and operate with autonomy.
You’ll Bring
- Proven experience deploying code to production in a cloud or data platform environment
- Strong hands-on knowledge of:
- GitHub / GitHub Actions
- Terraform
- Solid understanding of CI/CD pipelines and infrastructure-as-code
- Ability to work across dev, test, and production environments
- Confidence working in a cross-functional team (architects, BI, data engineers)
Nice to have (but not essential):
- Exposure to BI tools such as Power BI
- Experience in data-heavy environments (analytics, reporting platforms, etc.)
If you’re a Senior DevOps Engineer or Infrastructure Specialist looking to apply your skills in a meaningful, fast-evolving environment, this could be a great opportunity!

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Systems Development Manager
Birmingham
£60000 - £70000
+ Data Engineering
PermanentBirmingham, West Midlands
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System Development Manager
Location: Birmingham (Hybrid, 2 days per week in office)
Salary: £50,000 – £70,000 (depending on experience)
A growing FS company is seeking a System Development Manager to lead and develop their in-house technology function. This is a great opportunity to join a business that’s modernising its core systems, bringing previously outsourced technology in-house to improve efficiency, quality, and control.
Key Responsibilities
- Lead and manage two development teams (SQL and PHP), ensuring efficient workflow and clear priorities.
- Unify both teams under one cohesive structure to strengthen collaboration and delivery consistency.
- Provide leadership and guidance to developers – supporting their technical and professional growth.
- Oversee development processes, appraisals, and goal setting.
- Contribute hands-on to development work where appropriate (particularly valuable if you have PHP experience).
- Shape the long-term technical strategy, including tooling, frameworks, and best practices.
- Manage and refine the testing and deployment strategy, supported by a dedicated system tester.
- Provide architectural oversight for new and existing projects, ensuring solutions are secure, scalable, and maintainable.
About You
- Proven experience leading or managing software development teams.
- Strong understanding of PHP, SQL Server, and related technologies.
- Confident in guiding teams on priorities, resolving blockers, and improving development processes.
- Technically capable: able to contribute to architecture discussions and design reviews.
- Excellent stakeholder management skills with the ability to collaborate across departments.
- Passionate about developing people and driving technical maturity within a growing organisation.

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Senior Software Engineer
Atlanta, GA
$160000 - $175000
+ Data Engineering
PermanentAtlanta, Georgia
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SENIOR SOFTWARE ENGINEER – CLOUD & DEVOPS
$160k-$175k BASE + 10-15% BONUS
REMOTE – HIRING ONLY IN GA, AL, NY, CO & FL
Are you a hands-on software engineer who thrives at the intersection of data, infrastructure, and analytics? This role offers the opportunity to shape internal technology products that power investment decisions for a leading U.S. private equity platform.
THE COMPANY
This private equity firm manages tens of billions in assets and invests in consumer and business-service brands across sectors like food, retail, health & wellness, and education. They take a data-driven approach to identifying and scaling high-growth opportunities – and the software engineering team is central to that mission.
THE ROLE
As a Senior Software Engineer, you’ll help architect and build internal tools and platforms that enable data-driven insights across portfolio companies. This is a highly visible role partnering with data scientists, strategy leads, and investment teams to develop scalable solutions supporting acquisitions, portfolio analytics, and due diligence.
You’ll own projects end-to-end – from coding and infrastructure management to deployment and optimization – while mentoring junior engineers and influencing technical direction.
Key Responsibilities:
- Design, develop, and deploy data-driven applications and internal web tools.
- Manage cloud infrastructure, deployment pipelines, and production environments.
- Collaborate with data science and strategy teams to deliver scalable, maintainable systems.
- Drive best practices across CI/CD, security, and observability.
- Mentor junior engineers and contribute to team growth and technical standards.
YOUR SKILLS AND EXPERIENCE
The ideal candidate will have:
- 5-8+ years of professional software engineering experience.
- Strong proficiency in Python (core language across all systems).
- Experience with GCP (preferred), AWS, or Azure.
- Hands-on experience with Kubernetes for deployment and orchestration.
- Working knowledge of SQL and database administration.
- Some exposure to JavaScript
- Background in data infrastructure, ETL, or analytics-heavy systems.
- Proven ownership of infrastructure – from local dev to production deployment.
THE TEAM & CULTURE
You’ll join a tight-knit group of ~16 professionals spanning Strategy, Consumer, Data Science, Product, and Software Engineering. The software team is lean, collaborative, and hands-on – with direct access to senior leadership and visibility into the firm’s investment activity.
THE BENEFITS
- $160K-$175K Base + 10% – 15% Bonus
- Hybrid schedule – Atlanta HQ preferred; open to select states (GA, AL, NY, CO, FL)
- Limited travel (4-6x/year) for team gatherings and investor meetings
- High autonomy, meaningful impact, and exposure to complex business models

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Head of Data Engineering
Walsall
£120000 - £130000
+ Data Engineering
PermanentWalsall, West Midlands
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Head of Data Engineering
Location: West Midlands
Hybrid Policy: 3 days per week in the office (flexible on which days)
Salary: £120,000 – £130,000 + £7,500 car allowance + exceptional bonus & benefits
An established, financial services group is on the lookout for a Head of Data Engineering to lead their data platform transformation – a critical migration from legacy systems (SQL Server) to modern Azure cloud technologies.
You’ll oversee a 40-person team of engineers (across the UK and offshore), guide delivery of critical regulatory and treasury projects, and work closely with senior leaders to ensure smooth delivery and long-term modernization. This is a hands-on leadership role – ideal for someone who thrives in both strategy and delivery.
Ideal Candidate:
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Proven leadership of large data engineering teams (UK and offshore)
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Deep expertise in SQL Server, and experience migrating to Azure cloud
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Experience managing third-party partners/vendors
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Ability to stay hands-on to mentor teams on technical delivery
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Background in the banking / financial services sector
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Strategic mindset with a delivery-focused leadership style
Tech Environment:
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Azure Data Stack (Synapse, Databricks, Azure SQL, Power BI)
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SQL, Python
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Legacy systems primarily in SQL Server
Interview Process:
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Initial 30-minute informal converdation
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60-minute technical/competency interview with Engineering Managers
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Final 90 minute session with senior leadership (CDO, CTO, CIO)
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All applicants will undergo standard pre-employment checks (financial, DBS, references)

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Director of Sales Analytics
New York
$200000 - $220000
+ Advanced Analytics & Marketing Insights
PermanentNew York
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Director of Sales Analytics
Fully Remote in the United States — Must be based in the U.S.
Cannot hire out of these states: Illinois, Massachusetts, Ohio, Washington, Washington DC, West Virginia
$190,000 – $220,000 base + Bonus + Generous benefits
About the Company:
This fast-growing consumer financial services organization helps people take control of their financial futures through personalized, data-driven solutions. With a rapidly expanding customer base and a strong focus on technology, analytics, and empathetic service, the company is redefining how consumers engage with financial wellness products.
About the Role:
This opening is a highly visible leadership role at the intersection of Sales, Finance, and Data. The Director of Sales Analytics will lead the design and execution of the company’s outreach center analytics strategy, driving actionable insights that optimize lead conversion, agent productivity, and sales funnel performance across outreach channels.
This leader will collaborate closely with the Chief Sales Officer, CFO, and VPs influencing strategic direction while staying hands-on with data, models, and reporting frameworks.
Key Responsibilities:
- Lead the vision and implementation of the company’s outreach center and sales analytics strategy, with deep focus on funnel optimization, lead conversion, and agent performance.
- Build and maintain SQL- and Python-based models that measure and improve contact rates, lead penetration, dial activity, and conversion efficiency.
- Develop sales forecasting frameworks that align with Finance and Sales leadership to ensure workforce and lead capacity planning.
- Partner with Sales Operations to refine lead routing, territory assignment, and dial cadence to drive higher conversion and efficiency.
- Build and maintain BI dashboards (Sigma, Tableau, Power BI) that visualize funnel health, performance trends, and KPI tracking.
- Translate complex data into clear, strategic insights that guide business decisions and operational excellence.
- Lead, coach, and develop a high-performing analytics team (currently 8 member team)
- Stay current on outreach center analytics, CRM optimization (Salesforce), and telephony data integration best practices.
Must-Haves:
- 10+ years in analytics, sales strategy, or sales operations with deep hands-on experience in outreach center analytics.
- Proven success leading analytics for high-volume inbound/outbound sales environments.
- Strong proficiency in SQL; Python experience is a plus.
- Experience with Salesforce CRM and BI tools such as Sigma, Tableau, Looker, or Power BI.
- Expertise in sales funnel metrics, forecasting, conversion analytics, and agent productivity tracking.
- Exceptional communication skills and executive presence. Able to challenge senior stakeholders and push for the right decisions.
- Demonstrated success leading analytics teams and influencing cross-functional partners in fast-paced, high-lead-volume environments.
Nice-to-Haves:
- Experience in financial services, fintech, subscription-based, or consumer services organizations.
- Familiarity with telephony systems, marketing attribution, or CRM data integration.
- Strategic mindset with the ability to bridge high-level objectives with detailed analytical execution.
The Right Fit:
This role is ideal for a strategic, data-driven leader who thrives in a high-energy, outreach-center-centric sales environment. You’re equally comfortable diving deep into SQL as you are presenting insights to the C-suite. You bring strong opinions, challenge assumptions with data, and care deeply about using analytics to drive real business outcomes.
If you feel you are a strong fit for this role and are interested in learning more, please send your resume and a few sentences on why you could be a fit to Oisin at Thanks in advance!

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Java Developer/AI Engineer
Manhattan
$50 - $60
+ Data Engineering
PermanentManhattan, New York
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Position Overview
A growing fintech organization is seeking a talented Java Developer with experience integrating Generative AI technologies into enterprise-grade systems. This role involves developing backend services, APIs, and data-driven applications that enhance financial operations through AI automation and intelligent insights. The ideal candidate combines strong Java engineering skills with curiosity and hands-on experience applying LLMs or other AI models in production environments.
Key Responsibilities
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Design, develop, and maintain Java-based microservices and APIs to support AI-enhanced financial applications.
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Collaborate with data science and AI engineering teams to integrate Generative AI models (e.g., OpenAI, Anthropic, Hugging Face) into backend systems.
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Implement scalable and secure solutions for data ingestion, transformation, and model inference.
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Build and maintain RESTful and event-driven architectures optimized for high performance and low latency.
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Contribute to prompt optimization, model evaluation, and the fine-tuning of AI-driven application components.
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Write clean, efficient, and maintainable code following best practices for software design and testing.
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Participate in code reviews, architectural discussions, and Agile ceremonies.
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Ensure high availability, reliability, and security of production systems.
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Continuously evaluate new technologies to improve AI integration and developer efficiency.
Qualifications
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Bachelor’s degree in Computer Science, Engineering, or a related technical field.
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4-6+ years of professional software development experience with Java (Spring Boot, Quarkus, or Micronaut preferred).
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Solid understanding of microservice architectures, REST APIs, and event-driven systems.
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Hands-on experience working with or integrating Generative AI models via APIs or SDKs (e.g., OpenAI, Vertex AI, Bedrock).
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Familiarity with AWS or other cloud platforms for deploying and managing AI applications.
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Strong understanding of data pipelines, JSON, and message queues (Kafka, RabbitMQ, or SNS/SQS).
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Experience with CI/CD pipelines, Git-based workflows, and DevOps best practices.
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Excellent communication and collaboration skills across cross-functional technical teams.
Preferred Qualifications
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Experience in financial technology or data-intensive environments.
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Knowledge of Python for AI model experimentation or prompt engineering.
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Familiarity with RAG (Retrieval-Augmented Generation) architectures and vector databases.
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Exposure to containerization (Docker, Kubernetes) and infrastructure-as-code (Terraform, CloudFormation).
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Interest in exploring multi-agent systems, AI-driven automation, or LLM application frameworks.

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Director of Partner Marketing Analytics
New York
$180000 - $200000
+ Advanced Analytics & Marketing Insights
PermanentNew York
To Apply for this Job Click Here
Director of Partner Marketing Analytics
Location: United States
Salary: Up to $200,000 + Bonus
THE COMPANY
We are partnered with a leading national consumer services brand that is reshaping how customers engage with their financial well-being. With continued growth and significant investment in data-driven marketing, they are seeking a Director of Partner Marketing Analytics to take ownership of analytics for their partner and affiliate channels. This is a senior role with high visibility, offering the chance to make a direct impact on marketing performance and ROI.
THE ROLE
Reporting into senior marketing leadership, you will lead a team of analysts focused on maximizing the performance of partner and affiliate channels. This is a hands-on, high-impact role, balancing strategy, execution, and cross-functional collaboration.
You will:
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Lead end-to-end analytics and reporting for partner and affiliate channels, providing insights into performance, lead conversion, and ROI.
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Design and maintain dashboards and reporting frameworks to track KPIs across programs.
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Partner with channel managers to optimize lead quality, payout structures, partner tiers, and campaign strategy.
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Build incrementality models to measure true channel value and unlock opportunities for scale.
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Collaborate cross-functionally with Finance, Data Engineering, and Marketing to ensure data integrity, effective forecasting, and budget optimization.
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Present insights and recommendations to senior leadership to influence strategy.
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Hire, mentor, and develop analysts to expand the team and strengthen capabilities.
YOUR SKILLS & EXPERIENCE
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Bachelor’s degree in STEM or quantitative discipline (preferred).
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8+ years in marketing analytics, including 3+ years in affiliate/partnership marketing.
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3+ years’ leadership experience, with a proven ability to build and lead high-performing teams.
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Strong command of SQL and experience with BI tools such as Tableau, Looker, or Sigma.
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Solid understanding of data warehousing, ETL, and automation.
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Advanced Excel with ability to build complex models and forecasts.
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Excellent communication and storytelling skills for executive-level presentations.
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Demonstrated ability to influence stakeholders and manage multiple priorities in a fast-paced environment.
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Financial services experience a plus.
WHAT’S IN IT FOR YOU
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Competitive base salary up to $200,000 plus performance bonus.
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Opportunity to shape the analytics strategy for a major U.S. brand.
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Direct exposure to senior leadership and cross-functional stakeholders.
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A role that combines strategic impact with hands-on analytics.
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Excellent benefits and career growth potential.
Would you like me to now create the shorter LinkedIn job post version (designed to hook candidates quickly without revealing the client), alongside this full-length advert?

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Gen AI Analyst
Manhattan
$85 - $90
+ Data Science & AI
ContractManhattan, New York
To Apply for this Job Click Here
Qualifications
Education
-
Bachelor’s degree required; Computer Science, Engineering, Data Science, or a related technical field preferred.
Experience
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Minimum of 5 years of professional experience in data science, software development, or a comparable technical discipline.
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At least 1 year of hands-on experience working with Generative AI tools, frameworks, or APIs (e.g., OpenAI, Anthropic, or similar).
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Proven track record developing and deploying production-grade AI models or applications.
Skills
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Strong expertise in Prompt Engineering, including the design and refinement of prompts to optimize AI outputs and user experience.
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Deep understanding of Generative AI technologies, architectures, and deployment approaches in enterprise or business settings.
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Solid grasp of data pipelines, model evaluation, and integration of AI systems into broader software ecosystems.
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Excellent project management skills with the ability to manage multiple deliverables simultaneously.
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Exceptional written and verbal communication skills, with the ability to convey complex AI concepts to non-technical audiences.
Preferred Qualifications
-
Demonstrated experience engaging with business users to design, train, and support the rollout of AI tools.
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Proficiency with Python and experience working in Jupyter Notebooks for prototyping and experimentation.
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Familiarity with software product deployment, including user adoption strategies and feedback integration.
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Understanding of change management practices and strategies for driving organizational adoption of new technologies.
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Experience creating technical documentation, internal training materials, or content that helps demystify AI tools for a broader audience.

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