Data Analyst

Peter Shawyer Associates Ltd; Greater London; Hybrid; GBP 40,000 - 70,000; Full time

Benefits offered by this job

Bonus of 10-15%

Professional development opportunities

Flexible working arrangements

Job summary

An alternative lender is seeking a Data Analyst to join their London team, offering a blend of in-office and remote work. This role involves developing a deep understanding of various analytics datasets, designing analytical tools, and enhancing current processes. You will work alongside leading experts in data, utilizing industry-leading datasets to drive business insights. With a focus on innovation and continuous improvement, this position provides an excellent opportunity for professional growth in the field of data analysis and data science, along with a fantastic benefits package including a competitive bonus.

Qualifications

• Solid commercial experience in SQL or Python, ideally both.
• Experience developing analytical tools and insights.

Responsibilities

• Develop a strong grasp of various analytics datasets across the business.
• Design and build analytical tools for different datasets.

Skills

SQL

Python

Data Quality

Analytical Tools Development

Curiosity

Tools

Gen AI

Job description

This alternative lender is leading the way in providing business-boosting loans to mid-sized SMEs in the UK.

With a pioneering approach to data gathering and analysis, they now need to hire a Data Analyst for a role based in their London office, with 2 days/week working from home.

Responsibilities:

1. Develop a strong grasp of the various analytics datasets across the business, from portfolio monitoring to credit underwriting, business development to marketing.
2. Design and build analytical tools for these different datasets.
3. Propose and develop ongoing enhancements.
4. Challenge and improve current processes.

Qualifications:

The right candidate will have:

1. Solid commercial experience in SQL or Python and ideally both.
2. A keen sense of curiosity.
3. Data quality experience.
4. Experience developing analytical tools and insights.

It would be nice if you also have:

1. Solid commercial experience in financial services data, ideally credit data.
2. Experience of Gen AI, eg for use in anomaly detection, and LLMs.

What’s in it for you?

1. The chance to work with leading authorities in the world of data.
2. The chance to work with industry leading datasets, incorporating the best of both internal and external data sources.
3. The chance to develop as an analyst/data scientist.
4. Fantastic benefits package, including a bonus of typically 10-15%.

Seniority level

Associate

Employment type

Full-time

Job function

Analyst

Industries

Banking and Financial Services