Data Scientist, iCapital
Assistant Vice President
$130-160k
+ Equity + Annual performance bonus
More information about location
4+ days a week in office
Fintech platform for alternative investments
Job no longer available
Fintech platform for alternative investments
1001+ employees
Job no longer available
$130-160k
+ Equity + 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
- The ideal candidate will be passionate about leveraging machine learning techniques to drive innovation and have a strong background in researching and developing AI models
- 4-8 years of experience as a hands-on data scientist or AI/ML engineer in AI/ML/DS fields
- Advanced degree in a relevant field such as AI, ML, Data Science, mathematics, or computer science
- Experience building ML and AI models and systems in a production environment in at least Generative AI/LLM or NLP applications
- Experience working with LLM, such as GPT-4, Llama 3, Mistral, and other commercial or open-source models in a production environment
- Knowledge of NLP techniques, including text data preprocessing (tokenization, stemming, and text normalization, etc.) and information extraction (summarization, and question answering, etc.)
- Proficiency in programming languages in Python, and libraries/frameworks like TensorFlow, PyTorch, spaCy and scikit-learn, etc
- Strong knowledge of machine learning algorithms and statistical techniques, their limitations, and implementation challenges
- Experience with cloud platforms and distributed computing environments, such as AWS, Google Cloud, or Azure
- Experience working in a finance or financial technology job with alternative investments
- Direct contributions to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results
- Strong problem-solving skills and able to work independently and collaboratively in a fast-paced, agile environment
- Strong communication skills and able to effectively articulate technical concepts to both technical and non-technical audiences
- Experience with data visualization tools and techniques to effectively communicate and present findings
- Publication record as a lead author or essential contributor at top venues such as CHI, NeurIPS, UIST, ICML, ICLR, ACL, EMNLP, CVPR, AAAI, and/or ICAPS
- Portfolio of personal projects on Github, BitBucket, Google Colab, Kaggle, etc
- Understanding of regulatory and compliance requirements in the financial industry and their implications for machine learning applications
- 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
- Experience with data transformation tools, such as dbt, and orchestration tools such as Airflow
What the job involves
- ICapital's AI/ML team is developing cutting edge solutions to establish a unique competitive edge for the company
- The Data Scientist role will play a key role in developing AI models and engineering iCapital’s core machine learning and AI products
- This individual will be working in a collaborative team environment across machine learning, product management, data engineering, and software engineering teams
- Build and integrate AI/ML/DS tools and workflows to address business needs and increase business efficiency
- Support the design, development, training, and deployment of AI/ML models and engineering solutions to solve business problems through a full development and production cycle in the FinTech domain
- Build and leverage new and existing tools for Large Language Model (LLM), Natural Language Processing (NLP), Optical Character Recognition (OCR), and intelligent document processing tasks
- Evaluate and compare the performance of different AI/ML algorithms and models
- 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
- Collaborate with cross-functional teams, including machine learning engineers, product managers and full stack engineers, to deliver scalable machine learning solutions
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
Insights
Few candidates hear
back within 2 weeks
42% employee growth in 12 months
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
Articles
Leadership
Lawrence Calcano
(CEO)Previously worked as Director of Capitol Acquisition Corp., and served as Director of Vibrant Emotional Health for 10 years.
Salary benchmarks
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Diversity, Equity & Inclusion at iCapital
- We consider applicants of all backgrounds. If you are excited about what we’re building but don't meet some of the criteria above, please don’t let that discourage you from applying
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