At a Glance
- Tasks: Design and implement cutting-edge AI solutions for financial analytics.
- Company: Join MSCI, a leader in financial data and analytics.
- Benefits: Competitive salary, flexible work, and comprehensive benefits.
- Other info: Inclusive culture with diverse career growth opportunities.
- Why this job: Shape the future of finance with innovative AI technologies.
- Qualifications: 10+ years in AI/ML with expertise in modern frameworks.
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.
Responsibilities- 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 Engg team's productivity by using AI agents to automate tasks.
- 10+ 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.
- 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.
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. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email Disability.Assistance@msci.com and indicate the specifics of the assistance needed.
Senior AI Engineer - Private Assets employer: MSCI Inc
Contact Detail:
MSCI Inc Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer - Private Assets
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and finance sectors. Attend meetups, webinars, or conferences where you can chat with industry folks. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those related to financial data. Use platforms like GitHub to share your code and demonstrate your expertise. This will make you stand out when you apply through our website.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with AI/ML frameworks and how you've tackled complex problems in the past. Practice explaining your thought process clearly, as communication is key!
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way. It shows your enthusiasm for the role and keeps you fresh in their minds. Plus, it’s a great chance to reiterate why you’re the perfect fit for the team!
We think you need these skills to ace Senior AI Engineer - Private Assets
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Senior 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 your background makes you a perfect fit for our team. Share specific examples of your work in financial data or AI applications that demonstrate your problem-solving skills.
Showcase Your Technical Skills: Don’t shy away from detailing your technical prowess! Mention your experience with modern AI/ML frameworks, MLOps practices, and any advanced techniques you've applied. This is your chance to shine as a technical expert!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our culture and values!
How to prepare for a job interview at MSCI Inc
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI/ML frameworks like TensorFlow and PyTorch. Be ready to discuss your hands-on experience with these technologies, especially in the context of enterprise-scale solutions. They’ll want to see that you can not only talk the talk but also walk the walk!
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex analytical challenges in the past. Think about projects where you’ve implemented advanced NLP systems or built real-time streaming architectures. Highlighting your problem-solving approach will demonstrate your capability to handle MSCI's diverse AI use cases.
✨Understand Financial Data
Since this role involves financial analytics, it’s crucial to have a solid grasp of financial data and risk modelling. Brush up on relevant concepts and be prepared to discuss how your AI solutions can enhance decision-making in financial markets. This will show that you’re not just an AI expert, but also understand the industry context.
✨Be Ready for Technical Questions
Expect deep technical questions about MLOps practices, model deployment, and architectural decisions. Prepare to explain your thought process during code reviews or design documentation. This is your chance to shine as a technical expert, so don’t hold back on showcasing your knowledge and experience!