Demo

Data Scientist

Society of Exploration Geophysicists
Stamford, CT Full Time
POSTED ON 3/19/2025
AVAILABLE BEFORE 4/17/2025

Are you an experienced Data Scientist with specific experience working with Financial Data, specifically in Credit Risk Analytics? This opportunity is for you!

Exciting Senior Level Data Scientist opportunity with a well-known, rapidly growing Commercial Finance leader. This is a risk analytics and data science role dedicated to successfully managing the firm’s credit and enterprise risk. You will use cutting-edge statistical analysis and machine learning to explore and analyze large complex datasets to identify patterns, trends, and correlations. Competitive compensation, tremendous benefit package, and 401k. Cutting-edge technology, incredible culture, and working environment!

Title : Sr Data Scientist – Risk Analytics

Location : Stamford, CT

Salary : $170,000 – $190,000 Generous Bonus, Incredible benefits, and retirement package!

Responsibilities :

  • Lead the design and development of enterprise-grade deep analytics, exploring and analyzing large, complex datasets to identify patterns, trends, and correlations.
  • Drive collaboration with cross-functional teams to identify improvement opportunities, source data, create analyses, design solutions, and implement change.
  • Develop complex datasets, extract meaningful insights, and deploy predictive models & data-driven solutions to optimize portfolio performance and manage risk appetite.
  • Play a leadership role in advancing the capabilities and maturity of the firm’s Risk Management and Strategic Planning functions.
  • Optimize firm’s analytical capabilities, data-driven decisioning, and overall performance.
  • Enhance the firm’s data continuum including data architecture, data analytics, and data governance and their unique interdependencies.
  • Create useful, timely, and actionable analytical positions based on large structured and unstructured data sets.
  • Ensure analytical positions foster action and inform decision-making to enhance critical business processes and maximize outcomes.
  • Communicate analytical positions and recommendations to stakeholders through clear and compelling data visualizations, reports, and presentations.
  • Implement automation and streamline processes to optimize the entire data and analytics platform, ensuring efficient throughput and high-performance outcomes.
  • Lead comprehensive initiatives to democratize the use of Advanced Analytics tools (such as Python, R, or SQL) across the Risk and Strategic Planning teams.
  • Partner with the Data and Business Intelligence teams on the design, development, implementation, operation, and ongoing support of critical systems and tools.
  • Stay abreast of the latest advancements in data science, machine learning, and analytics technologies.
  • Represent Risk Management and Strategic Planning in Business Intelligence and Data team design discussions, code reviews, and project-related meetings.

Requirements :

  • 8 years’ experience in Data Science or deep analytics in the financial sector.
  • Background in Credit Risk analytics and strategy.
  • Proficiency in programming languages such as Python, R, or SQL with SAS experience in data manipulation, statistical analysis, and machine learning.
  • Experience developing and deploying Data Science solutions leveraging components like Azure OpenAI and Azure Notebooks.
  • Understanding of banking / financial services industry business model.
  • Excellent communication and collaboration skills, with the ability to distill complex technical concepts into understandable insights for non-technical stakeholders.
  • Strong analytical mindset and understanding of predictive performance models including application, assessment, and validation.
  • Strong expertise in data visualization tools such as PowerBI or Tableau.
  • Experience in training colleagues on programming languages / analytical tools such as Python, R, SQL, and SAS.
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    Salary : $170,000 - $190,000

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