bigshyft
BBluCognition
BluCognition
Data Science
201-500 employees
Private
3y - 6y

(Competitive pay)

Remote/ Work from Home
SQL, Python, RISK ANALYTICS, Machine Learning Algorithms, Data Science

Role

Company

Job Description

What you'll do:


  • Develop, validate and deploy risk management strategies using a combination of sophisticated data analytics and domain expertise
  • Extract and explore data, validate data integrity, perform ad hoc analysis, evaluate new data sources for usage in strategy development
  • Maintain robust documentation of approach and techniques used; including objectives, assumptions, performance, weaknesses, and limitations
  • Be ready to adapt to new tools/libraries/technologies/platforms
  • Actively partner with engineers to validate & deploy scalable solutions
  • Collaborate to gather insight from partners across the organization
  • Further develop expertise in data science and engineering through self-study, project exposure and guidance of senior team members



What makes you a great fit:


  • Degree in a quantitative field (e.g., computer science, data science, engineering, economics, mathematics, etc.). Advanced degree preferred
  • 3+ years of Data Science experience
  • 2+ years in financial services
  • Experience building and implementing risk strategies in production
  • Deep understanding of segmentation techniques such as decision trees
  • Experience in banking sector with exposure to risk management analytics
  • Proficient with Python
  • Proficient with SQL
  • Practical experience using Spark is a plus
  • Understanding of statistical modeling techniques is a plus
  • Technical understanding of algorithm complexity, probability & statistics
  • Self-driven with an aptitude for independent research & problem-solving
  • Ability to multi-task in a fast-paced environment is essential
All about us
BluCognition

bluCognition's key focus is to enhance data and the analytical capabilities of our clients by leveraging the latest technology stack in AI and machine learning to convert and analyze alternative data sources. Our flagship product 'bluSense' provides lenders with real-time bank statement conversion that uncovers a detailed view of financial health. Another key integrated product solution is 'FraudLens,' our document fraud detection capability that can tell if any document has been tampered with. Additionally, our automated document conversion capability supports other document types like financial statements, payroll statements, and more. As part of our managed services business, we offer specialized and dedicated teams to work on manual underwriting, fraud review, KYC/KYB, sanctions screening and any other manual task you would prefer to outsource to experts.

Employee count
201-500 employees
Employment Type
Full Time Job
Company Type
Private
Headquarters
New York City, New York, United States

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