Principal Data Scientist, iCapital
Vice President
$180-220k
Plus equity, and an annual performance bonus
More information about location
4 days a week in office
Fintech platform for alternative investments
Be an early applicant
Fintech platform for alternative investments
1001+ employees
Be an early applicant
$180-220k
Plus equity, and an annual performance bonus
More information about location
4 days a week in office
1001+ employees
Company mission
To power the world’s alternative investment marketplace.
Role
Who you are
- 8+ years of experience in design, development, training, and deployment of machine learning models as a Machine Learning Engineer or Data Scientist
- Advanced degree in a quantitative discipline such as computer science, mathematics, economics, engineering, or data science
- Deep understanding of the mathematics of and principles underlying machine learning
- Experience managing teams of high performing engineers and/or data scientists or equivalent experience managing AI-based products or services
- High level of maturity, including the ability to proactively identify and solve problems and create a positive culture for team members and colleagues that inspires the best performance of professionals at different levels of their career
- Proficiency in Python with experience that includes the use of TensorFlow or PyTorch and scikit-learn
- Experience building APIs and infrastructure for large scale machine learning applications using AWS
- Experience working with Large Language Models, such as GPT-4, Llama 3, and other commercial or open-source models
- Knowledge of NLP techniques, including text data preprocessing (tokenization, stemming, and text normalization, etc.) and information extraction (summarization, and question answering)
- Experience with software development best practices, including source control (Git), CI/CD pipelines, testing, and documentation
- Familiar with database integration principles and practices, including SQL and NoSQL databases and data warehouse solutions (such as Snowflake)
- Strong problem-solving skills and the ability to work independently and collaboratively in a fast-paced, agile environment
- Excellent communication skills and the ability to effectively articulate technical concepts to both technical and non-technical audiences
- Strong drive to innovate and contribute to a highly collaborative, team-oriented culture
What the job involves
- ICapital's AI team is transforming the investment management industry by using the latest advancements in Artificial Intelligence.
- The Vice President of Data Science will play a key role in designing, developing, and deploying advanced machine learning models that solve some of the most challenging problems in finance and technology today
- This role will be the hands-on leader of data scientists and engineers who are developing the next generation of AI models for the FinTech industry
- This individual will lead new product development, working with stakeholders across the firm and industry to identify how AI can be used to transform industry processes and generate new insights and transforming those ideas into tangible solutions that will impact millions of investments throughout the world
- Design, develop, train, test, and deploy advanced machine learning models as the leader of a team of engineers and data scientists
- Develop, train, and test models using Python in a cloud environment using a diverse set of structured and unstructured data sources
- Partner with professionals throughout the company to identify opportunities to use AI to drive transformational change and translate needs into technical solutions
- Analyze data using visualization, statistical modeling, and machine learning to formulate and test hypotheses and identify patterns for model design
- Provide technical leadership for team members in the use of machine learning and the development and deployment of large-scale machine learning models
- Build and maintain RESTful APIs using Python and FastAPI
- Contribute to the improvement of Machine Learning Operations (MLOps) pipelines and procedures to ensure efficiency, scalability, and maintainability
- Ensure the reliability, robustness, and scalability of machine learning models in production environments
- Communicate with stakeholders, both technical and non-technical, and drive adoption of AI throughout the organization
- Learn from peers, industry conferences (Stanford), papers, and classes to increase advanced AI knowledge
Our take
Alternative investing can yield huge profits, but it can often be inaccessible, even to enterprises. iCapital solves this problem by guiding large-scale businesses through the alternative investing process.
Since launching in 2013, iCapital has provided enterprises with an investing marketplace. Its focus has been on banking, wealth management, and asset management companies, and iCapital now serves clients such as JP Morgan, Evercore, and Rockefeller. As of February 2023, the company services over $153 billion in global client assets, clear evidence of industry confidence in the company.
iCapital's impact on the financial world is undeniable, forging strong and profitable partnerships with leading institutions like Morgan Stanley. With a proven track record and a rapidly growing platform, iCapital is poised for significant further expansion in the years to come.
Steph
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 8 rounds)
Dec 2021
$50m
LATE VC
Jul 2021
$440m
GROWTH EQUITY VC
Total funding: $680.6m
Company HQ
Murray Hill, New York, NY
Leadership
Lawrence Calcano
(CEO)Previously worked as Director of Capitol Acquisition Corp., and served as Director of Vibrant Emotional Health for 10 years.
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