CAIS · 1 week ago
Machine Learning Specialist
New York, NY
Full-time
Hybrid
Senior Level
$275K/yr - $345K/yr
5+ years expCAIS is the pioneer in democratizing access to and education about alternative investments for independent financial advisors. As a Machine Learning Specialist / Data Scientist, you will play a pivotal role in shaping the future of predictive modeling within the alternative asset management and wealth management space.
FinanceFinancial ServicesFinTechHedge FundsReal Estate Investment
Responsibilities
Develop models leveraging features sourced from structured and unstructured data
Design and develop models for portfolio optimization, recommendation systems, propensity models, lead scoring, time series forecasting, and risk analysis using a combination of classical statistical methods, machine learning algorithms and novel deep learning algorithms
Write modular, production-grade code for model development, data pipelines, and deployment
Prototype user demos rapidly to gather stakeholder feedback and iterate on solutions
Build scalable systems to evaluate, calibrate and iteratively evolve the models in response to changing economic and investment conditions
Ensure rigorous testing with carefully crafted end-to-end and unit test cases for models and related sub-components
Prepare structured and unstructured data to use as features for maximum model performance
Deploy and monitor models in a cloud environment, prioritizing scalability, low latency, and A/B testing methodologies
Stay at the forefront of AI advancements, continuously researching and applying the latest in deep learning and machine learning techniques
Qualification
Required
Proven expertise in Python programming, with deep knowledge of data structures and algorithms
Excellent command over statistical reasoning
In-depth understanding of predictive modeling techniques, time series analysis, anomaly detection, and clustering
Proficiency with data visualization, statistical modeling and data analysis frameworks such as scikit-learn, SciPy and matplotlib
Hands-on experience with Pytorch and deep learning model architectures, such as Transformers, VAE, state space and diffusion models
Experience in fine tuning models using LoRA or similar methods
Experience in model testing, optimization and feature engineering, with the ability to source and integrate diverse data sets to improve performance
Cloud deployment expertise, including Kubernetes, Docker and/or cloud ML platforms such as Amazon SageMaker
Exceptional attention to code quality and emphasis on adhering to established software design patterns
4+ years of hands-on experience developing and deploying production-grade ML models in one or more of the above areas
MS in Mathematics, Statistics, Data Science, Physics or a related quantitative field
5 years of professional experience in workplace setting
Preferred
Experience in the financial services industry, specifically investment management, is a huge plus
Benefits
Generously subsidized healthcare with 100% employer paid dental and vision insurance
An employer matched retirement plan
Wellness programs
Flexible PTO and generous parental leave
Flexible, hybrid in-office model; for most roles, we do require a minimum of 3 days in office per week
Company
CAIS
CAIS is a financial technology platform that provides independent wealth channels with access to alternative investments.
201-500 employees
H1B Sponsorship
CAIS has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (3)
2024 (5)
2023 (1)
2022 (3)
Funding
Current Stage
Growth StageTotal Funding
$406MKey Investors
Hamilton LaneReverence Capital PartnersEldridge Industries
2022-06-28Private Equity
2022-04-06Private Equity· $100M
2022-01-11Private Equity· $225M
Leadership Team
Matt Brown
Founder | CEO
Kan Kotecha
CTO
Recent News
2026-01-16
Company data provided by crunchbase