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- Tasks: Join our team to develop cutting-edge AI tools for credit risk analysis.
- Company: We're a rapidly growing Business Loan Funder with a focus on innovation.
- Benefits: Enjoy competitive salaries, bonuses, and the flexibility of remote work.
- Why this job: Be part of an exciting project that shapes the future of finance and technology.
- Qualifications: Experience in Financial Technology and familiarity with data sources and APIs are essential.
- Other info: Opportunities for true career progression await you in our dynamic environment.
The predicted salary is between 43200 - 72000 £ per year.
Our firm is a fast growth firm of Business Loan Funders.
We have grown quickly over the last 8 years through a series of organic growth and through acquisition.
We are now expanding our technical team to work on a new AI project.
As an integral team member, you will be responsible for assisting our the architecture and build progress of our unique analysis tools.
The role will include:
– AI/Machine Learning
– Credit Risk
– Third Party Data
– Building relationships
– Working towards tight deadlines.
In return, we pay great basic salaries and competitive bonus. You\’re able to work from home and true progression is available.
You should be hands-on, working closely with your team to deliver the best web solutions with your technical expertise. You will be responsible for the critical functions below in helping the team design industry leading products. You must have experience as an Engineer in a Financial Technology firm. You will be well versed with working with multiple data sources, credit risk and API gateways.
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Software Engineer employer: Lendit
Contact Detail:
Lendit Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in AI and Machine Learning, especially as they relate to financial technology. Being able to discuss recent advancements or case studies during your interview can demonstrate your passion and knowledge in the field.
✨Tip Number 2
Network with professionals in the FinTech industry, particularly those who have experience in credit risk and data analysis. Engaging in conversations on platforms like LinkedIn can help you gain insights and potentially get referrals for the position.
✨Tip Number 3
Prepare to showcase your hands-on experience with API gateways and working with multiple data sources. Be ready to discuss specific projects where you've successfully implemented these technologies, as this will highlight your technical expertise.
✨Tip Number 4
Demonstrate your ability to work under tight deadlines by sharing examples from your previous roles. Highlighting your time management skills and how you prioritised tasks can set you apart as a candidate who thrives in a fast-paced environment.
We think you need these skills to ace Software Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Financial Technology, particularly focusing on AI, Machine Learning, and Credit Risk. Use specific examples of projects you've worked on that relate to the job description.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your technical skills but also demonstrates your understanding of the company's growth and the importance of their new AI project. Show enthusiasm for the role and how you can contribute to the team.
Highlight Relevant Skills: In your application, emphasise your hands-on experience with multiple data sources, API gateways, and any relevant tools or technologies. This will show that you are well-prepared for the responsibilities outlined in the job description.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial in a technical role.
How to prepare for a job interview at Lendit
✨Showcase Your Technical Skills
Be prepared to discuss your experience with AI, machine learning, and credit risk. Highlight specific projects where you've successfully implemented these technologies, as this will demonstrate your hands-on expertise.
✨Understand the Company’s Growth
Research the firm’s journey over the last eight years. Understanding their growth through acquisitions and organic means will help you align your answers with their vision and show that you're genuinely interested in their success.
✨Emphasise Team Collaboration
Since the role involves working closely with a team, be ready to share examples of how you've built relationships and collaborated effectively in past roles. This will illustrate your ability to work towards tight deadlines as part of a cohesive unit.
✨Prepare Questions About Future Projects
Demonstrate your enthusiasm for the role by preparing insightful questions about the new AI project and how it fits into the company’s future. This shows that you’re not just looking for a job, but are invested in contributing to their long-term goals.
