Quant/Data Scientist

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About the Role

Quant/Data Scientist

Key Responsibilities

• Design and develop

  advanced statistical and machine learning models

  to derive actionable insights and improve business outcomes.
• Work with

  Generative AI (GenAI)

  technologies to create personalized insights for financial advisors, clients, and prospects.
• Leverage

  large datasets

  to conduct analysis, identify trends, and build predictive models.
• Integrate AI/ML models into wealth management workflows in partnership with cross-functional teams.
• Develop and implement solutions using

  LangChain, LangGraph

  , and

  Vector Databases

  to build scalable, intelligent applications.
• Contribute to the innovation of client-facing platforms through data science and automation.

Required Qualifications & Skills

• Bachelor’s or higher degree in

  Machine Learning, Computer Science, Mathematics, Computational Linguistics

  , or related technical fields from a premier institution.
• Strong theoretical background in

  Probability, Statistics, Linear Algebra, Calculus

  , and

  Machine Learning

  .
• In-depth expertise in

  Deep Learning

  and

  Generative AI/LLM

  architectures.
• Practical experience with

  Large Language Models (LLMs)

  via platforms like

  Azure OpenAI

  ,

  Anthropic

  , etc.
• Hands-on experience in

  cloud ecosystems

  such as

  Azure

  ,

  AWS

  ,

  GCP

  , or

  Databricks

  .
• Proficiency in

  LangChain

  ,

  LangGraph

  , and working with

  Vector Databases

  .
• Strong programming skills in

  Python

  , with familiarity in libraries such as

  TensorFlow, PyTorch

  , or

  Hugging Face

  .
• Knowledge of

  financial products

  (e.g., mutual funds, ETFs) and

  client segmentation

  is a plus.
• Strong analytical and problem-solving abilities.
• Excellent communication skills to articulate complex ideas and insights clearly to both technical and non-technical stakeholders.

About the Team

Data Science team