At a Glance
- Tasks: Analyse data to combat fraud and financial crime while collaborating with diverse teams.
- Company: Join EY, a global leader in assurance and advisory services.
- Benefits: Competitive pay, flexible working, career development, and a supportive culture.
- Other info: Dynamic environment with opportunities for growth and mentorship.
- Why this job: Make a real impact by using data to solve complex problems in finance.
- Qualifications: Degree in STEM, strong analytical skills, and proficiency in SQL and Python.
At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.
About the team: As part of the Forensics & Integrity Services, our Forensic Data Analytics team provides advanced analytics services to support high profile and sensitive client matters such as real time fraud detection/prevention, fraud investigations, financial crime, disputes, and litigations. Our work involves developing data and analytics solutions to regularly ingest and monitor data to detect regulatory and compliance risks such as fraud, bribery and corruption, money laundering, sanctions breaches, know your customer failings (KYC), price fixing, mis-selling of financial products, employee misconduct, trader, and market abuse (surveillance).
Your key responsibilities:
- Work with financial services clients, fraud strategy, fraud analytics, fraud investigators, internal and external auditors, lawyers and regulatory authorities in sensitive situations.
- Communicate with clients to scope projects and gather requirements.
- Highlight and explain the outputs of our analytics to clients in the context of their business.
- Be responsible for end-to-end delivery of projects across the full lifecycle - Data extraction, transformation, loading (ETL), analysis, visualisation, deployment and client delivery.
- Handle a large amount of structured and unstructured data from a variety of data sources.
- Carry out reactive and proactive data analysis of large datasets using a wide range of technologies such as Python, SQL and Power BI.
- Supervise the work of junior team members and be responsible for quality control of work products from the team.
- Develop algorithms and solutions to detect, respond, prevent, continually monitor and investigate areas of fraud, bribery & corruption, misconduct and financial crime.
- Apply analytic techniques to prevent, detect, monitor or investigate potentially improper transactions, events or patterns of behaviour related to misconduct, fraud and non-compliance issues.
- Develop supporting material using a suite of visualisation software to clearly present the benefits of the analysis to clients.
- Align to various strategic teams in the areas of technology, innovation and business development.
To qualify for the role, you must have:
- Strong academic qualifications with a degree in a STEM discipline (Computer Science, Engineering, Statistics, Mathematics, etc.) or equivalent work experience.
- Fraud experience.
- Demonstrable proficiency in SQL, Python, Azure data factory and/or Databricks, and Visualization techniques and awareness across other programming languages such as R, C#, JavaScript.
- Ability to work independently, manage work products and mentor junior team members.
- Strong critical thinking, problem-solving skills, understanding of algorithms and appreciation of working with data.
- Excellent communication skills and ability to explain complex analytical concepts to stakeholders from different backgrounds.
Ideally, you’ll also have:
- Domain knowledge of Financial Crime, Market Abuse, Mis-selling remediations, accounting, fraud, bribery and corruption or sector specific knowledge or experience.
- Organisational ability, people skills and project management potential.
- Previous consulting experience and experience with: Relational databases, e.g. SQL Server, PostgreSQL, Oracle, MySQL; Data visualisation software: Spotfire, Tableau, or Power BI; Azure cloud computing platform; Big data technologies such as Spark, Elasticsearch, Hadoop; Statistical techniques (regression, clustering etc.); Machine learning and pattern recognition; Front-end web development e.g. HTML, JavaScript.
We are looking for tenacious and curious individuals with a desire to ‘get to the bottom’ of things. You will be intellectually rigorous, with extremely strong analytical skills, have a passion for data, be adaptable and show an ability to build strong relationships.
What working at EY offers: We offer a competitive remuneration package where you’ll be rewarded for your individual and team performance. Our comprehensive Total Rewards package includes support for flexible working and career development, and with FlexEY you can select benefits that suit your needs, covering holidays, health and well-being, insurance, savings and a wide range of discounts, offers and promotions.
Plus, we offer:
- Support and coaching from some of the most engaging colleagues around.
- Opportunities to develop new skills and progress your career.
- The freedom and flexibility to handle your role in a way that’s right for you.
About EY: As a global leader in assurance, tax, transaction and advisory services, we’re using the finance products, expertise and systems we’ve developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better.
Assurance - Financial Services - Forensic Data Analyst - Senior - London employer: EY UK
EY UK is an exceptional employer, offering a dynamic work culture in Birmingham that fosters professional growth and development. As a Senior HR Help Desk Advisor, you'll benefit from comprehensive training, a supportive team environment, and clear pathways for career advancement into Employee Relations, all while contributing to a company renowned for its commitment to employee well-being and inclusivity.
StudySmarter Expert Advice🤫
We think this is how you could land Assurance - Financial Services - Forensic Data Analyst - Senior - London
✨Tap into Campus Networks
If you're still in uni, don’t forget to engage with your campus's career services and attend finance-related events. Banks often do presentations and recruitment drives on campus, so put yourself out there and make use of these opportunities to show off your passion for the field.
✨Get Certified
Consider pursuing relevant certifications like the CFA or ACCA while you’re job hunting. They not only beef up your CV but also connect you with professional bodies which can lead to networking opportunities and even job openings in banking and financial services.
✨Connect on Professional Platforms
Join finance-focused groups on platforms like LinkedIn and engage in discussions. This can really help you stand out from the crowd, allowing potential employers to see your knowledge and interest in industry trends. Plus, you might stumble upon job postings shared exclusively within the group.
✨Apply Directly and Be Proactive
Don’t shy away from reaching out directly to firms like EY UK. Use their websites and apply through them, but also consider following up with a polite email to express your enthusiasm. Being proactive can make a huge difference in getting noticed in the competitive financial services sector.
We think you need these skills to ace Assurance - Financial Services - Forensic Data Analyst - Senior - London
Some tips for your application 🫡
Show Off Your Numbers!:In the banking and financial services world, quantifiable achievements are key. Make sure your CV highlights your grades in relevant subjects, any financial certifications you hold, and specific projects where you've delivered measurable results. Employers love to see how your skills translate into real-world success.
Tailor Your Cover Letter to the Role:When applying for a full-time position, your cover letter should make a direct connection between your experience and the job description. Don't just state your enthusiasm for finance—dive into how your background in banking or financial analysis sets you apart. Let your passion shine through while being specific about what you can bring to EY UK.
Include Relevant Financial Software Experience:If you've worked with financial modelling tools or software like Excel, SAP, or specific analytical tools during your studies or internships, bring that up! Highlighting your proficiency can really make your application pop and show you're ready to hit the ground running in a full-time role.
Research and Reflect:Before hitting that 'apply' button on EY UK's website, do a little digging. Look up their recent projects, values, and culture. Reflecting their ethos in your application can make a huge difference and show you’re genuinely interested in being part of the team!
How to prepare for a job interview at EY UK
✨Brush Up on Financial Analysis Skills
Make sure you're well-versed in financial concepts and analytical techniques relevant to banking and financial services. Get comfortable with tools like Excel for modelling or financial forecasting, as technical questions in this area are common during interviews with EY UK.
✨Prepare for Case Studies
Expect to tackle case studies that demonstrate your problem-solving skills in real-world banking scenarios. Familiarise yourself with the types of problems you might face—think risk assessments or investment evaluations—and be ready to articulate your thought process clearly.
✨Show Your Passion for Finance
Since this is a full-time position, employers at EY UK will be keen to see your genuine interest in finance. Be prepared to discuss recent industry trends or news articles that excite you, showcasing your enthusiasm and engagement with the field.
✨Network with Industry Professionals
Before your interview, reach out to current or former EY UK employees on platforms like LinkedIn. They'll offer unique insights into the company's culture and the interview process, which can give us a delightful edge in showcasing a good fit for the team.
