ML Engineer - Fintech Asset Management & AI Innovation

ML Engineer - Fintech Asset Management & AI Innovation

Full-Time 60000 - 80000 £ / year (est.) No working from home possible
Understanding Recruitment

At a Glance

  • Tasks: Shape the future of asset management with advanced machine learning algorithms.
  • Company: Join a young and innovative fintech company in Greater London.
  • Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on innovation and creativity.
  • Why this job: Make a real impact by optimising processes and deriving insights from data.
  • Qualifications: Experience in deploying ML models and proficiency in Python, R, or Java.

The predicted salary is between 60000 - 80000 £ per year.

Understanding Recruitment is seeking a Machine Learning Engineer in Greater London to help reshape asset management through advanced machine learning algorithms. In this role, you will optimize processes, derive insights from data, and collaborate with various teams to enhance the platform's capabilities.

As part of a young fintech company, your expertise in deploying ML models, proficiency in programming languages such as Python, R, or Java, and statistical knowledge will drive our mission forward. Join us in creating innovative solutions!

ML Engineer - Fintech Asset Management & AI Innovation employer: Understanding Recruitment

Understanding Recruitment is an exceptional employer that fosters a dynamic and innovative work culture, perfect for those passionate about fintech and AI. Located in the vibrant Greater London area, we offer competitive benefits, a collaborative environment, and ample opportunities for professional growth, ensuring that our employees can thrive while contributing to groundbreaking advancements in asset management.

Understanding Recruitment

Contact Details:

Understanding Recruitment Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land ML Engineer - Fintech Asset Management & AI Innovation

Tip Number 1

Network like a pro! Reach out to people in the fintech and machine learning space on LinkedIn. A friendly message can go a long way, and you never know who might have the inside scoop on job openings.

Tip Number 2

Show off your skills! Create a portfolio showcasing your machine learning projects. Whether it's a GitHub repo or a personal website, having tangible examples of your work can really impress potential employers.

Tip Number 3

Prepare for those interviews! Brush up on your technical skills and be ready to discuss your experience with Python, R, or Java. Practising common ML interview questions can help you feel more confident when it’s time to shine.

Tip Number 4

Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Keep an eye on our job listings and make sure your application stands out by tailoring it to the role.

We think you need these skills to ace ML Engineer - Fintech Asset Management & AI Innovation

Machine Learning Algorithms
Data Insights Derivation
Process Optimisation
Collaboration Skills
ML Model Deployment
Python
R

Some tips for your application 🫡

Show Off Your Skills:Make sure to highlight your experience with machine learning algorithms and programming languages like Python, R, or Java. We want to see how your skills can help us reshape asset management!

Tailor Your Application:Don’t just send a generic CV! Tailor your application to reflect how your expertise aligns with our mission in fintech. We love seeing candidates who understand our goals and can contribute to them.

Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate straightforward communication that gets right to the heart of your qualifications and experiences.

Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!

How to prepare for a job interview at Understanding Recruitment

Know Your Algorithms

Brush up on your machine learning algorithms and be ready to discuss how you've applied them in past projects. Be prepared to explain the reasoning behind your choices and how they impacted the outcomes.

Showcase Your Coding Skills

Since programming is key for this role, practice coding challenges in Python, R, or Java. During the interview, you might be asked to solve a problem on the spot, so being comfortable with coding under pressure will help you shine.

Understand the Fintech Landscape

Familiarise yourself with current trends in fintech and asset management. Being able to discuss how machine learning can innovate these areas will demonstrate your passion and understanding of the industry.

Collaborative Mindset

This role involves working with various teams, so highlight your teamwork experiences. Share examples of how you've successfully collaborated on projects, as this will show that you're not just a tech whiz but also a great team player.