Join the LLR family of private equity-backed growth companies.

Equifax is seeking a driven and insightful Senior Analyst to join our dynamic Core Analytics team within the Data and Analytics (D&A) division. This is a pivotal role where you will directly contribute to our success by reshaping the way we use and combine our data. The ability to match a piece of data to an address, a company or a person is at the heart of how Equifax serves the financial industry.

You will work closely with internal analytics teams, data owners and technology squads to ensure our matching logic is the best around. You will be a part of one of the biggest and most important projects the company has undertaken that utilises the latest technology and techniques for matching.

At Equifax, we empower our employees to achieve their full potential. Our D&A team offers a clear, structured career development framework designed to accelerate your progression and growth. You'll have the opportunity to work closely with experienced managers to build and realise your career aspirations within a supportive and innovative environment.

What you’ll do

• Application of data mining tools and programming languages like SQL and Python to prepare data and undertake analysis.
• Design and test new matching algorithms for names and/or addresses. Document and present to senior analytics leaders for approval.
• Create logic that continually reviews the quality of matching over time and highlights data where match results should be adjusted.
• Develop deep data knowledge in the structure, application and permissible use of data sources in present state and devise plans for any possible improvements that would aid the matching algorithms.
• Conduct analysis for any matching related queries from clients or consumers.
  
  

What Experience You Need

• Relevant numerical degree with a 2:1 or above
• Experience in programming languages such as SQL or Python in a data analytics environment
• Strong technical expertise and experience of analytics techniques to solve problems.
• Experience of the UK financial services market and the data held by a CRA.
• Excellent written and verbal communication skills with the ability to communicate with team members and stakeholders at various levels, including business leaders.
• Consistently strong at execution of tasks; hitting deadlines without compromising on quality of work.
• Current hands-on experience in a data analytics environment
  
  

What Could Set You Apart

• Previous data analytics experience working with consumer credit reference agency data
• Knowledge of text comparison algorithms
• Exposure to machine learning techniques for data matching
• Use of Scala; experience using GCP