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 specialists 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) 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 organisations such as the Securities and Exchange Commission (SEC) and must pass the Financial Industry Regulatory Authority (FINRA) exams. The US undoubtedly has a big focus on consumer protection. Data Scientists and Analysts in the US BFSI sector may also work on areas such as Risk modelling, Fraud detection, and customer segmentation. In the US job market, certification is frequently used as a pathway to career progression and success. One such example is the highly regarded Chartered Financial Analyst (CFA) certification offered by the esteemed CFA Institute. By obtaining this certification, individuals may increase their likelihood of professional advancement and garner greater opportunities for achievement.
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, optimise 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!
INDUSTRY CANDIDATES
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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 visualisation tools like Tableau or Power BI. Familiarity with statistical techniques, data modelling, 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 analyse 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.
- 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 what 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 organisations make data-driven decisions, manage risks, and improve customer experience. With the vast amount of data generated by BFSI organisations, Data Science has become an essential tool to analyse 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 modelling techniques to develop predictive models that help organisations 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 modelling techniques to identify potential risks and mitigate them before they become a problem. This helps organisations minimise losses and maintain financial stability.
Another benefit of Data Science in the BFSI sector is improved customer experience. By analysing customer data, organisations can understand their preferences and behaviour, and use this information to offer personalised products and services that meet their needs.
Data Science is imperative in the BFSI sector. By helping organisations 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, analysing, and visualising large amounts of data to provide insights that help BFSI organisations 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 organisations 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 modelling, Analytics, and visualisation 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 organisation. They play a critical role in helping BFSI organisations 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 organisations 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 organised, 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 organisation, 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 organisation's goals and objectives.
However, it's not just about crunching numbers and analysing 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 organisation. 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 organisations to make informed decisions in the face of uncertainty.
BFSI organisations 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 maximisation.
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 modelling, 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 organisational success. You will help identify potential risks and opportunities, guide decision-making, and keep organisations competitive in today's ever-changing business landscape. Expect the unexpected, analyse 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 behaviour, preferences, and needs. Armed with these invaluable insights, organisations 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 behaviour and preferences takes centre stage. Thus, Customer Analytics roles emerge as pivotal pillars, empowering organisations 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 modelling, and a maestro in data visualisation. 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 organisations. Your prowess in unearthing customer behaviour, 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 BFSI
DATA JOBS
Senior Pricing Analyst
London
£45000 - £55000
+ Risk Analytics
PermanentLondon
Senior Pricing Analyst
London
Hybrid
Up to £55,000
Company:
I am hiring for a leading insurance company at the forefront of the industry, committed to its valued customers. They have a strong market presence and unwavering dedication to innovation, we are continuously pushing boundaries to deliver unparalleled services across the insurance industry
The Role:
- Building pricing models, using statistical techniques and machine learning algorithms.
- Conducting data analysis and reporting to evaluate pricing performance and identify opportunities for optimization.
- Developing and implementing pricing strategies
- Collaborating with internal stakeholders to understand business objectives
- Utilizing your strong communication skills to present complex pricing concepts and strategies
Experience Required:
- A minimum of 3 years of experience in pricing analyitcs within the insurance industry.
- Experience with SQL and Python to extract, manipulate, and analyse large datasets.
- Proven experience in building pricing models using statistical techniques and machine learning algorithms.
- Experience visualisation tools (such as Tableau, Power BI, or similar) to present insights in a clear and compelling manner.
- Excellent communication and interpersonal skills
Benefits
Up to £55,000 + competitive benefits package
HOW TO APPLY
Please register your interest by sending your CV to Sean Tunley via
IRB Modelling Manager
Milton Keynes
£50000 - £75000
+ Risk Analytics
PermanentMilton Keynes, Buckinghamshire
IRB Modelling Manager
Up to £75,000
Hybrid – Milton Keynes
A great opportunity for an IRB Modelling Manager to join a fast-packed and global bank.
THE COMPANY
A great opportunity to join one of the world’s largest and most respected financial institutions. Driven by their purpose of helping businesses and people prosper, this is a great opportunity to join an institution looking to build a community to be a digital banking space with a touch of human flair.
This role sits within the Retail IRB Modelling team and as a IRB Modelling Manager you will be responsible for the development and maintenance of Retail IRB models. You will also ensure IRB developments adhere to the strategic needs of the business and regulations and standards both internally and externally.
THE ROLE AND RESPONSIBILITIES
- Line management of technical analysts within the team
- Working on model assurance to ensure that models remain up to standard
- Managing and overseeing the development of models to ensure IRB requirements are met
- Working with stakeholders to ensure that planning, building, validation, approval, implementation, and activity of models built
THE REQUIREMENTS
- Understanding of IRB requirements and IRB modelling
- Excellent quantitative and analytical ability
- Proficient in SAS
- Educated to degree level in STEM subject
THE BENEFITS
- Up to £75,000
- Competitive benefits package
- Hybrid
HOW TO APPLY
- Please register your interest by sending your CV to Jordan Victor via the Apply link on this page
Principal Data Engineer
London
£75000 - £95000
+ Data & Technology
PermanentLondon
PRINCIPAL DATA ENGINEER
UP TO £95,000 + BENEFITS
LONDON, CURRENTLY HYBRID WORKING
Harnham has partnered with a global investment company helping millions of customers across the world maximise their savings and grow their capital. They are looking for a Principal Data Engineer to help scale up their data team.
THE COMPANY:
This is an access management company, and with a new modern data-driven team it is a very exciting time to join the company. While it is a very established banking company, they have invested heavily into creating a modern team with an up-to-date tech stack. This company offers benefits that come with being a well-established company alongside joining a fast-growing modern team with lots of potential for career progression.
THE ROLE:
- Working cross-functionally with the marketing and data science team to expand the company’s business.
- Build, automate and maintain ETL pipelines using Scala and Python.
- Mentor the junior data engineers within the team.
- Working with a creative mindset to solve problems and develop current production.
- Work with solution architects to ensure standards are upheld within the company.
YOUR SKILLS & EXPERIENCES
- Highly proficient in Python programming
- A good understanding of cloud architecture such as AWS or Azure.
- Experience in Spark
- Good coding practice using tools such as CI/CD.
- Experience in using Airflow.
HOW TO APPLY:
Please register your interest by sending your CV to Joy Bruty via the apply link on this page. (The company has outlined a fully remote interview process and has a remote onboarding policy in place).
Midlevel Data Engineer
London
£60000 - £70000
+ Data & Technology
PermanentLondon
MID-LEVEL DATA ENGINEER
£60,000 – £70,000 + BENEFITS
LONDON (FLEXI-WORKING)
Are you a Data Engineer looking for an exciting challenge? Want to become a pivotal part of a scaleup Finance company specialised in mortgages? If becoming a Data Engineer is the role you have been looking for, read on to discover more.
THE COMPANY:
Harnham is partnered with a scaleup Finance company specialised in mortgages who are looking for new members to join their team. They are looking for a Data Engineer to join their cross-functional team, working closely across alongside Software Engineers and the product team. The company emphasises the importance of promoting its great culture throughout its company through diversity and inclusion as well as agile flat hierarchy structure.
THE ROLE:
As a Data Engineer, you will be working across the Data Engineering and Data Analytics team. You will be responsible for maintaining and building ETL pipelines. You will also need to have DBT as you will have data visualisation responsibilities. The teams work collaboratively in squads on projects coding with python from scratch andd supporting more junior members of the team.
YOUR SKILLS AND EXPERIENCE:
The Ideal Data Engineer will have:
- Prior commercial experience as a Data Engineer
* High Proficiency working within AWS
* Extensive commercial experience working with DBT
* High ability to code with python
THE BENEFITS:
The successful Data Engineer will receive a salary, dependent on experience between £60,000 and £70,000. On top of the salary, a successful candidate will be offered the opportunity to work within a world-renowned company on exciting new projects.
HOW TO APPLY:
Please register your interest by sending your CV to Hannah Cockings via the Apply link on this page.
Senior Data Engineer – FinTech
Edinburgh
£90000 - £125000
+ Data & Technology
PermanentEdinburgh
Senior Data Engineer
Remote
£125, 000
Permanent
An exciting opportunity for a Senior Data Engineer to join a fintech start-up and set the infrastructure for a modernised analytics platform.
The Company
A fintech start-up is looking for a Senior Data Engineer to establish a modern data platform to form the basis of their decision-making ability.
The company was set up to reduce financial inequality amongst immigrants by allowing them to move their money home easier. They have seen a massive scale of growth over the last 4 years, with their annual recurring revenue now reaching £100m.
The Role and Responsibilities
- Build data systems, pipelines, and solutions using SaaS systems, in line with the company’s requirements and tech stack
- Integrate 3rd party APIs to enable data pipelines and reporting use cases
- Implement DevOps methodologies to data systems and architectures
- Analyse, categorise, and prepare data for prescriptive and predictive modelling
Your Skills and Experience
- Experience with Python and/or Java
- Experience with relational databases and data warehouses
- Knowledge of data modelling and governance concepts, and agile methodologies
- Knowledge of industry toolsets and big data technologies
- Experience in a similar role in the startup industry
Benefits
- Up to £125, 000 salary
- Remote work
- Learning and development budget
- Private health insurance and Employee Assistance Programme
Risk Analyst
Leeds
£34000 - £38000
+ Risk Analytics
PermanentLeeds, West Yorkshire
Risk Analyst
Up to £38,000
Hybrid – Leeds
A great opportunity for a Risk Analyst to join one of UK’s leading financial services companies.
THE COMPANY
This role sits within one of the UK’s leading financial services companies – specialising in providing credit to consumers across the country. And in this position, you will be joining their Operational Analytics team which work upon analytics and reporting support in collections and fraud.
And joining the team as a Risk Analyst, you will be understanding business needs and working on appropriate analytical solutions, improvement, and reporting. And your work will cover all aspects across customer outcomes, portfolio performance, strategy delivery and performance and operational/staff performance.
THE ROLE AND RESPONSIBILITIES
- Performance monitoring and analysis of portfolio and operational performance
- Creating, optimising, and maintaining reporting solutions
- Developing and enhancing strategies focusing on improving the customer journey through the collections and fraud lifecycle
- Supporting with analysing reports to collections and fraud
- Understanding data to ensure direct link between operations performance and portfolio performance
- Provide support and help to operational management team
YOUR SKILLS AND EXPERIENCE
- Expertise using SQL – Python and Tableau desirable
- Experience working in Collections/Fraud environment
- Financial Services experience
PROCESS
- 2 Stage interview process
- 1st Stage – CV and Motivations
- 2nd Stage – 1hr F2F interview – SQL Test/Competencies
- Sign-off chat
THE BENEFITS
- Up to £38,000
- Benefits + Bonuses
- Hybrid
HOW TO APPLY
If your interested in the role please send your CV to Jordan Victor via the Apply Link below
Stress Testing Manager
London
£60000 - £75000
+ Risk Analytics
PermanentLondon
STRESS TESTING MANAGER
£75,000
LONDON
THE COMPANY
This company is a large challenger bank who are continuing to grow. As a specialist lender, this bank has a clear focus and mission and are seeking an experienced candidate to join the team. This role offers the rare opportunity to take a hands-on role within their stress testing team whilst also managing one individual.
THE ROLE
Within this role, you would be working on:
- Design and develop stress testing models for ICAAP
- Implement and maintain stress testing models
- Analyze and interpret stress testing results
- Collaborate with other teams in the bank to ensure a comprehensive approach to stress testing
- Develop and maintain strong relationships with regulatory bodies
- Direct line management of one analyst
YOUR SKILLS AND EXPERIENCE
This company is seeking someone with:
- Good knowledge and experience in SAS, ideally Python or R as well
- Understanding of IFRS9 and ICAAP models and prior exposure to these
- Prior experience in stress testing is essential
- Educated to at least degree level, in a numerate discipline
SALARY AND BENEFITS
- Up to £75,000 base salary
- Pension contribution scheme
- Discretionary bonus
- Hybrid work model
- Private medical cover
HOW TO APPLY
Please register your interest by sending your CV to Rosie Walsh through the ‘Apply’ link
Industry Hub
HARNHAM
News & Blog
With over 10 years experience working solely in the Data & Analytics sector our consultants are able to offer detailed insights into the industry.
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