AI Engineer - Private Assets
AI Engineer - Private Assets

AI Engineer - Private Assets

Full-Time 90000 - 110000 ÂŁ / 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 MSCI, a leader in financial data and analytics with a culture of innovation.
  • Benefits: Competitive salary, flexible work arrangements, and comprehensive employee benefits.
  • Other info: Collaborative environment with diverse career paths and a commitment to inclusion.
  • Why this job: Shape the future of finance with cutting-edge AI technology and impactful solutions.
  • Qualifications: 3+ years in AI/ML systems, expertise in modern frameworks, and strong communication skills.

The predicted salary is between 90000 - 110000 ÂŁ 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 & Allies, Women in Tech, and Women’s Leadership Forum.

At MSCI we are passionate about what we do, and we are inspired by our vision – to power better decisions. You’ll be part of an industry‑leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry.

MSCI strengthens global markets by connecting participants across the financial ecosystem with a common language. Our research‑based data, analytics and indexes, supported by advanced technology, set standards for global investors and help our clients understand risks and opportunities so they can make better decisions and unlock innovation. We serve asset managers and owners, private‑market sponsors and investors, hedge funds, wealth managers, banks, insurers and corporates.

MSCI Inc. is an equal opportunity employer. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities.

AI Engineer - Private Assets employer: MSCI Inc

At MSCI, we pride ourselves on being an exceptional employer that fosters a culture of innovation and high performance. Our AI Engineer role offers the chance to work with cutting-edge technology in a collaborative environment, where you can grow your skills through tailored learning opportunities and mentorship from industry experts. With flexible working arrangements and a commitment to inclusion, you'll be part of a global team dedicated to transforming financial markets and making impactful decisions.
MSCI Inc

Contact Detail:

MSCI Inc Recruiting Team

StudySmarter Expert Advice 🤫

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

✨Tip Number 1

Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your AI projects, especially those that highlight your experience with ML pipelines and NLP systems. This will give you an edge when chatting with hiring managers.

✨Tip Number 3

Prepare for technical interviews by brushing up on your AI/ML frameworks and distributed computing platforms. Practice coding challenges and be ready to discuss your past projects in detail—this is where you can really shine!

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team at MSCI and making an impact in the financial data ecosystem.

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

AI/ML Expertise
Enterprise-scale AI Solutions
NLP Systems Development
Deep Learning
Computer Vision
MLOps Best Practices
Real-time Streaming Architectures
Technical Communication Skills
Data Analysis
Model Deployment
Cross-functional Collaboration
Financial Data Knowledge
Architecting AI Platforms
Automated Retraining Pipelines
Experience with Modern AI/ML Frameworks

Some tips for your application 🫡

Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the AI Engineer role. Highlight your expertise in AI/ML frameworks and any relevant projects you've worked on that showcase your ability to tackle complex analytical challenges.

Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about AI and how you can contribute to our team. Share specific examples of your past work, especially those that demonstrate your experience with enterprise-scale AI solutions and financial data.

Showcase Your Technical Skills: Don’t hold back on detailing your technical prowess! Mention your proficiency in tools like TensorFlow or PyTorch, and any experience with MLOps practices. We want to see how you can bring cutting-edge AI techniques to life in our projects.

Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. This way, you can ensure all your materials are submitted correctly and reach the right people who are excited to review your application!

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 around frameworks like TensorFlow and PyTorch. Be ready to discuss your hands-on experience with enterprise-scale AI solutions and how you've tackled complex analytical challenges in the past.

✨Showcase Your Problem-Solving Skills

Prepare examples of how you've used AI to solve real-world problems, particularly in financial contexts. Highlight any advanced NLP systems or multi-modal data handling you've implemented, as this will resonate well with the interviewers.

✨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. Think about how you can make your technical expertise accessible to non-technical team members.

✨Be Ready for Technical Questions

Expect deep dives into your technical skills, especially around MLOps practices and real-time streaming architectures. Brush up on model versioning, A/B testing, and automated retraining pipelines, as these are crucial for the role.

AI Engineer - Private Assets
MSCI Inc

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