AI Engineer - Private Assets in Lincolnshire

AI Engineer - Private Assets in Lincolnshire

Lincolnshire Full-Time 90000 - 110000 € / year (est.) Home office (partial)
MSCI Inc

At a Glance

  • Tasks: Design and implement advanced AI systems for financial analytics and decision-making.
  • Company: Join a leading firm shaping the future of finance with innovative AI solutions.
  • Benefits: Competitive salary, flexible work, comprehensive benefits, and ongoing learning opportunities.
  • Other info: Collaborative culture with diverse career paths and a focus on inclusion and innovation.
  • Why this job: Make a real impact in finance by solving complex analytical challenges with cutting-edge technology.
  • Qualifications: 3+ years in AI/ML systems, expertise in modern frameworks, and strong communication skills.

The predicted salary is between 90000 - 110000 € per year.

We're seeking an exceptional Principal AI Engineer to join our AI team and shape the development of cutting‑edge solutions that address MSCI's most complex analytical challenges. In this role, you'll architect and implement advanced AI systems that transform how global investors make critical decisions by providing sophisticated insights across financial markets, risk assessment, and portfolio analytics.

The ideal candidate brings deep expertise in AI/ML, proven experience in delivering enterprise‑scale AI solutions, and a passion for leveraging technology to solve multifaceted problems in the financial data ecosystem. As a senior individual contributor, you'll work closely with cross‑functional teams to design innovative AI‑powered platforms that process vast amounts of heterogeneous data, generate actionable insights, and enable data‑driven decision‑making at scale.

You'll serve as a technical expert, establishing best practices and driving the adoption of state‑of‑the‑art AI technologies while ensuring our solutions meet the rigorous standards required by institutional investors globally. This role offers the unique opportunity to work on diverse, high‑impact AI applications that shape how the world's largest financial institutions understand and navigate complex market dynamics.

  • Design and implement enterprise‑scale AI architectures for processing and analyzing complex, multi‑dimensional financial and alternative data.
  • Architect end‑to‑end ML pipelines that handle multi‑modal data sources including structured market data, unstructured documents, and real‑time feeds.
  • Develop advanced NLP systems for extracting and validating critical metrics from millions of documents, reports, and regulatory filings.
  • Apply cutting‑edge AI techniques (including LLMs, computer vision, and deep learning) to solve MSCI's diverse AI use cases.
  • Implement MLOps best practices and automated systems for model deployment, monitoring, and continuous improvement across multiple product lines.
  • Collaborate with product teams and domain experts to translate complex requirements into scalable technical solutions.
  • Provide technical guidance and mentorship to other engineers on AI/ML best practices and architectural decisions.
  • Partner with MSCI Research teams to advance the state of AI applications in financial analytics.
  • Drive technical excellence through code reviews, design documentation, and knowledge sharing across the organization.
  • Help improve AI Engineering team's productivity by using AI agents to automate tasks.

3+ years of experience building and deploying AI/ML systems at scale, with deep hands‑on technical expertise. Expert‑level proficiency in modern AI/ML frameworks (TensorFlow, PyTorch) and distributed computing platforms (Flink, Beam, Spark, Ray). Proven track record of architecting and delivering enterprise AI platforms handling large scale data. Advanced knowledge of NLP, computer vision, and time‑series analysis techniques with practical application experience. Experience with financial data, risk modelling, or quantitative analytics is highly desirable. Expertise in building real‑time streaming architectures using technologies like Kafka, Flink, or Beam. Strong foundation in MLOps practices including model versioning, A/B testing, and automated retraining pipelines. Excellent technical communication skills with ability to present complex AI concepts to diverse stakeholders. Track record of publishing research or speaking at conferences on AI/ML topics. Passion for solving complex analytical challenges and using technology to drive innovation in financial markets.

What we offer you:

  • Salary range: $113,000 - $147,000 /year plus eligible for annual bonus.
  • Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing.
  • Flexible working arrangements, advanced technology, and collaborative workspaces.
  • A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results.
  • A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients.
  • Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, AI Learning Center, LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development.
  • Multi‑directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles.
  • We actively nurture an environment that builds a sense of inclusion, belonging and connection, including eight Employee Resource Groups: All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride.

AI Engineer - Private Assets in Lincolnshire employer: MSCI Inc

At MSCI, we pride ourselves on being an exceptional employer that fosters a culture of innovation and high performance. As an AI Engineer in our dynamic team, you'll benefit from flexible working arrangements, comprehensive employee benefits, and a commitment to your professional growth through tailored learning opportunities. Join us to collaborate with a global network of talented colleagues and contribute to cutting-edge AI solutions that shape the future of financial analytics.

MSCI Inc

Contact Detail:

MSCI Inc Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Engineer - Private Assets in Lincolnshire

Tip Number 1

Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.

Tip Number 2

Show off your skills! Create a portfolio showcasing your AI projects, especially those that highlight your experience with ML frameworks and financial data. We want to see your work in action, so don’t be shy about sharing your successes!

Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. We recommend practicing common AI/ML interview questions and even doing mock interviews with friends or mentors to build your confidence.

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our team and contributing to our innovative projects.

We think you need these skills to ace AI Engineer - Private Assets in Lincolnshire

AI/ML Expertise
Enterprise-scale AI Solutions
NLP Systems Development
Deep Learning
TensorFlow
PyTorch
Distributed Computing Platforms

Some tips for your application 🫡

Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with AI/ML systems, especially in financial contexts. We want to see how your skills align with the role of Principal AI Engineer, so don’t hold back on showcasing relevant projects!

Showcase Your Technical Skills:When detailing your experience, focus on the specific AI frameworks and technologies you've worked with, like TensorFlow or PyTorch. We’re keen to see your hands-on expertise, so include any notable achievements or projects that demonstrate your capabilities.

Communicate Clearly:Your written application should reflect your ability to explain complex concepts simply. Remember, we value excellent communication skills, so make sure your application is clear, concise, and free of jargon where possible.

Apply Through Our Website:We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re proactive and engaged with our company!

How to prepare for a job interview at MSCI Inc

Know Your AI Stuff

Make sure you brush up on your AI/ML knowledge, especially the frameworks mentioned in the job description like TensorFlow and PyTorch. Be ready to discuss your hands-on experience with these technologies and how you've applied them in real-world scenarios.

Showcase Your Problem-Solving Skills

Prepare examples of complex analytical challenges you've tackled in the past. Highlight how you used AI techniques to derive insights from financial data or improve decision-making processes. This will demonstrate your ability to think critically and apply your skills effectively.

Understand the Financial Landscape

Familiarise yourself with the financial data ecosystem and the specific challenges faced by global investors. Being able to speak knowledgeably about risk assessment and portfolio analytics will show that you understand the context in which your AI solutions will be applied.

Communicate Clearly

Practice explaining complex AI concepts in simple terms. You'll likely need to present your ideas to diverse stakeholders, so being able to communicate effectively is key. Consider doing mock interviews to refine your technical communication skills.