Role Overview & Mandate
Executive Summary
Do you have a passion for data and analytics? Are you excited about the prospect of working with cutting-edge data platforms and using them...
Reviewed by Compensation & Visa Analysts •
Sources: USCIS E-Verify & Home Office CoS
Do you have a passion for data and analytics? Are you excited about the prospect of working with cutting-edge data platforms and using them to provide more access and insights than ever before? We are seeking a Data Analyst to join our Credit Risk team.
Working within the Credit Risk team, you will be responsible for analysing and interpreting complex financial data to assess credit risk and make data-driven recommendations. Your expertise in quantitative analysis, statistical modeling and data visualisation will contribute to the development and enhancement of Selina Finances credit risk strategies and decision making processes.
If this is interesting to you, and speaks to you, read on, and make sure that of all the Job ads you read, this is the one you click apply to!
About Selina
At Selina Finance, our mission is to give people access to the wealth they have in their homes, and we’re doing that by building a next-generation digital lender – starting with a home equity loan product. More than £2tn equity value is locked up in UK homes, while homeowners still need to rely on high-interest rate consumer loans, credit cards or overdrafts. We believe this is unfair and unnecessary. We offer a financing product unlike anything else out there, one that is as flexible as a current account, as affordable as a mortgage, and as easy to apply for as a consumer loan.
We are building an incredible team and culture of high performance, development, reward and recognition. We announced our Series B earlier in January this year, ready for the next phase of our adventure and this is where you come in!
What will you be doing?
Responsibilities:
Collect, clean and transform datasets from various sources, including internal and external data, to assess credit risk and support decision making processes
Develop and implement statistical models to measure credit risk, identify trends, and predict future default rates
Analyse and interpret credit risk data, identify patterns and anomalies, and provide actionable insights to key stakeholders through comprehensive reports, dashboards, and presentations
Monitor the performance of credit portfolios, track key risk indicators, and provide timely recommendations for risk mitigation strategies
What we offer
£50- £70k base salary, dependent on experience
Bi-annual Bonus
Growth Shares
25 days annual holiday
Annual L&D budget
Cycle to work scheme
3% pension contribution
Monthly socials
Free access to mental health support via Spill
A choice of benefits that work for you courtesy of our benefits platform, Thanks Ben ️ ❤️
Annual £60 cycle allowance for Santander cycles or Evans (via Thanks Ben)
Placed in the top 30 of Tempos 100 best start-ups to work for 2023
We are an equal opportunities employer and are determined to ensure that no applicant or employee receives less favourable treatment on the grounds of gender, age, disability, religion, belief, sexual orientation, marital status, or race, or is disadvantaged by conditions or requirements which cannot be shown to be justifiable.
We also welcome and encourage applications from traditionally underrepresented categories, and provide feedback to any candidate we interview, even if that feedback is speaking to another candidate being more suitable for the role
What about you, what do you need to bring/have?
Demonstrated ability to complete complex data analysis using SQL
Experienced in creating dashboards and visualisations using BI tools
Strong communication skills and the confidence to be able to be consultative with stakeholders
Things that would be nice for you to have (please do not let any of these points prevent you from applying):
Familiarity with Python
Have experience of migrating BI platforms and working with legacy BI dashboards
