Data Analyst, Financial Services β€” Hybrid London

Data Analyst, Financial Services β€” Hybrid London

Full-Time 33075 - 40425 Β£ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Analyse large financial datasets and uncover trends to drive business decisions.
  • Company: Join SR2 REC LTD, a leader in financial services with a dynamic team.
  • Benefits: Enjoy a hybrid work model, competitive pay, and opportunities for growth.
  • Other info: Collaborate with diverse stakeholders and present findings to varied audiences.
  • Why this job: Make an impact by turning data into actionable insights in a fast-paced environment.
  • Qualifications: Experience in data analysis and strong communication skills are essential.

The predicted salary is between 33075 - 40425 Β£ per year.

SR2 REC LTD is seeking a Data Analyst for a contract role in financial services.

The role focuses on analyzing large-scale, multi-source financial datasets, identifying trends and anomalies, investigating data quality issues, and producing actionable insights to support business decision-making.

The candidate will work with holdings, transactions, legal entity and regulatory reporting data, collaborating with stakeholders and presenting findings to both technical and non-technical audiences.

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Data Analyst, Financial Services β€” Hybrid London employer: SR2 REC LTD

SR2 REC LTD is an exceptional employer, offering a dynamic work environment in the heart of London where innovation thrives. With a strong focus on employee growth and development, we provide opportunities for our team members to enhance their skills while working on cutting-edge authentication and identity projects. Our collaborative culture fosters teamwork and creativity, making it a rewarding place for professionals looking to make a meaningful impact in the tech industry.

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Contact Details:

SR2 REC LTD Recruitment Team

We think you need these skills to ace Data Analyst, Financial Services β€” Hybrid London

Data Analysis
Financial Data Analysis
Trend Identification
Anomaly Detection
Data Quality Investigation
Actionable Insights Generation
Stakeholder Collaboration