Machine Learning Specialist, CAIS
Alternative investment platform
Open for applications
Alternative investment platform
501-1000 employees
Open for applications
501-1000 employees
Company mission
To democratise access for independent financial advisors by breaking down barriers that prevent them from connecting with experienced alternative asset managers.
Role
Who you are
- 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
- Experience in the financial services industry, specifically investment management, is a huge plus
- MSc in Mathematics, Statistics, Data Science, Physics or a related quantitative field
- 5 years of professional experience in workplace setting
What the job involves
- 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.
- Your expertise will influence product vision discussions, drive data-informed decisions, and enhance the intelligence of our platform. You’ll collaborate across teams to develop scalable, robust models and frameworks for adoption across products that empower financial advisors and asset managers to navigate complex markets with confidence
- 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
Salary benchmarks
Our take
Financial advisors often face challenges in accessing education and alternative investment funds due to the absence of an integrated platform for discovering these opportunities. This gap can hinder their ability to offer clients diverse investment options and make informed decisions.
CAIS addresses this need by providing an online marketplace that facilitates direct communication between financial advisors and asset managers regarding alternative investments. The platform sources expert advice across various sectors, including hedge funds, private equity, credit, real estate, and digital assets, allowing advisors to access valuable insights and opportunities.
With thousands of financial advisors utilising its services, CAIS oversees more than $1.2T in assets. The company has partnered with major custodians like Fidelity and Schwab, collectively managing over $6T in assets for more than 15,000 advisors. Following substantial funding and achieving unicorn status in 2022, CAIS is now focused on advancing its technology, enhancing customer experiences, and digitising product operations for both fund managers and financial advisors
Kirsty
Company Specialist at Welcome to the Jungle
Insights
17% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
Apr 2022
$100m
LATE VC
Jan 2022
$225m
SERIES C
Total funding: $395m
Company benefits
- Healthcare & wellness: We offer highly subsidized medical, dental, vision plan options, and monthly reimbursements to support your lifestyle outside of work
- Coverage Waiver Allowance: Have benefits through another source? Receive a monthly allowance for waiving coverage
- Voluntary benefits: Enjoy discounted pricing on virtual marketplace retail benefits, pet insurance, legal, identity theft, critical illness, hospital coverage, and additional life and AD&D insurance
- Paid parental leave: New parents receive up to 16 weeks of fully paid leave
- Flexible PTO: Take the time you need in coordination with your team and manager. Plus, enjoy nine paid holidays throughout the year
- 401(k) matching: Participate in a comprehensive 401(k) plan with a 4% match
- Free Food: Take advantage of our in-office lunch program and a fully stocked kitchen
- Team events: Join our monthly happy hours, team building activities, and other events to ensure we stay connected
Company HQ
Midtown East, New York, NY
Leadership
Matt Brown
(Founder & CEO)Previously the Founder and Managing Principal at Brown Simpson Asset Management for 5 years and Managing Director at Fairfield Greenwich Group for 3 years.
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