Machine Learning Specialist

Job Posted 16 Hours Ago Posted 16 Hours Ago
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New York, NY
Hybrid
Senior level
Fintech • Software • Financial Services
CAIS is the leading alternative investment platform for independent financial advisors.
The Role
As a Machine Learning Specialist, you will develop and enhance predictive models within alternative asset management, collaborating to create robust frameworks, ensuring model performance, and leveraging both structured and unstructured data for insights in a cloud environment.
Summary Generated by Built In

CAIS is the pioneer in democratizing access to and education about alternative investments for independent financial advisors, empowering them to engage and transact with leading asset managers on a massive scale througha wide variety of alternative investment products and technology solutions. CAIS provides financial advisors with a broad selection of alternative investment strategies, including hedge funds, private equity, private credit, real estate, digital assets, and structured notes. CAIS also delivers industry-leading technology, operational efficiency, and world-class client service throughout the pre-trade, trade, and post-trade experience.CAIS supports over 50,000 advisors who oversee more than $6 trillion in network assets.  

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. 

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.  

What You Bring 

  • 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.  
  • MS in Mathematics, Statistics, Data Science, Physics or a related quantitative field.  

CAIS is consistently recognized as a Best Place to Work, and our culture is at the heart of our success. We are committed to fostering an inclusive environment where employees can be their most authentic selves and feel inspired and supported to bring their voice forward to drive community, growth, and innovation. We are an equal opportunity employer, and do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law.  Learn more about our culture, benefits, and people at https://www.caisgroup.com/our-company/careers. 

CAIS’ compensation package includes a market competitive salary, a performance bonus, and exceptional benefits. If you are located in New York, New York, the base salary range for this role is $180,000- $230,000. Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, and specific office location. 

CAIS offers a comprehensive benefits package that includes generously subsidized healthcare with 100% employer paid dental and vision insurance, an employer matched retirement plan, wellness programs, and generous PTO and parental leave. Additionally, CAIS offers a flexible, hybrid in-office model; for most roles, we do not require a minimum number of days in office per week. For more information on our benefits and career opportunities, please visit our website: https://www.caisgroup.com/our-company/careers. 

Top Skills

Amazon Sagemaker
Docker
Kubernetes
Matplotlib
Python
PyTorch
Scikit-Learn
Scipy

What the Team is Saying

Person1
Sanjam
Senior Vice President, Legal & Compliance
“CAIS is a wonderful place to grow one’s career while surrounded by some of the best people in the industry. I am constantly engaged with interesting projects, and it is always a pleasure to collaborate across teams to reach extraordinary achievements“
Sanjam
Mark
Elisandra
Adam
Heaven-Leigh
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The Company
HQ: New York, NY
341 Employees
Hybrid Workplace
Year Founded: 2009

What We Do

CAIS is the leading alternative investment platform for independent financial advisors. The CAIS platform powers the pre-trade, trade, and post-trade lifecycle of alternative investments providing financial advisors and alternative asset managers a single operating system for scale and efficiency.

CAIS serves over 2,000 wealth management firms that support more than 50,000 financial advisors who oversee approximately $6 trillion in end-client assets. Founded in 2009, CAIS is headquartered in New York City with offices in Austin and London.

CAIS continues to be recognized for its innovation and leadership including awards for Alternative Investment Firm of the Year by Wealth Solutions Report, WealthTech100 List by Fintech Global, Great Places to Work by Fortune, Best RIA Platform by SPi, Best Alternative Investments Solution by Finovate, and many others.

For more information about CAIS, please visit www.caisgroup.com.

Why Work With Us

As CAIS continues to grow and develop award-winning technology, we need true agents of change to join our growing team. CAIS has opportunities for every skillset—from interns to directors. If you’re looking for a transformative, welcoming culture in which personal success is supported, consider joining our team.

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CAIS Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: Flexible
HQNew York, NY
Austin, TX
London, GB
Los Angeles, CA
Red Bank, NJ
San Francisco, CA
Learn more

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