Consultant- Data Science and Analytics

Accountabilities

• • Support the development of credit risk management, business intelligence, and advanced analytics solutions through consulting engagements and research.
  • Partner with cross-functional teams and clients to identify business opportunities and develop long-term, value-added analytical solutions.
  • Develop predictive risk management and business intelligence solutions for areas including credit cards, auto and mortgage lending, collections, and retail banking.
  • Conduct descriptive and prescriptive analyses across the consumer lending lifecycle, using techniques such as segmentation, scenario analysis, and sensitivity analysis.
  • Extract, manipulate, segment, and analyze large-scale datasets using tools and languages such as R, Python, SQL, Hive, and Spark across server- and cloud-based environments.
  • Translate complex analytical findings into clear, compelling insights and recommendations for clients, executives, and internal stakeholders.
  • Identify opportunities for customers to test, adopt, and expand the use of analytical products and services.
  • Manage multiple analytical assignments and projects simultaneously while maintaining quality, timelines, and stakeholder expectations.
  • Collaborate across a matrixed organization and contribute to a high-performance culture focused on innovation, excellence, and continuous improvement.

  Requirements

  • Bachelor’s degree in statistics, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative discipline.
  • At least 6 years of professional analytical experience in financial services, consumer credit, or a related industry.
  • Strong analytical, critical-thinking, quantitative reasoning, and creative problem-solving capabilities.
  • Strong programming skills, with proficiency in a statistical language such as R; experience with SQL, Python, Hive, Pig, C/C++, Java, or similar technologies is advantageous.
  • Experience working with large datasets and modern big-data or cloud frameworks, ideally including Hadoop or Spark.
  • Strong understanding of data manipulation, statistical analysis, and analytical modeling techniques.
  • Excellent communication and presentation skills, with the ability to explain complex analytical concepts to technical, business, client, and executive audiences.
  • Strong project management skills and the ability to prioritize and deliver multiple assignments effectively.
  • Comfortable working independently with moderate supervision while collaborating effectively in a fast-paced, complex, and matrixed environment.
  • Advanced Excel capabilities, including formulas, macros, and pivot tables, are preferred.
  • Experience with Tableau or other data visualization platforms is preferred.
  • Familiarity with credit bureau data, consumer lending, and related business practices is a plus.
  • A Master’s or PhD in a quantitative discipline is preferred.
  • Experience working in a globally distributed organization is advantageous.
  • Strong English communication skills and willingness to travel approximately 10–20%.

  Benefits

  • Remote work flexibility with occasional in-person attendance or travel as required.
  • Flexible time-off policies designed to support work-life balance.
  • Opportunities for continued professional development, including support for tuition reimbursement, conferences, and seminars.
  • Access to modern computing environments, cloud technologies, big-data platforms, and advanced analytics tools.
  • Opportunities to explore new data sources, statistical methodologies, machine learning approaches, and emerging technologies.
  • Collaborative environment with opportunities to work alongside experienced analytics and data professionals.
  • Career development opportunities focused on strengthening existing skills and building new capabilities.
  • Comprehensive employee programs and resources supporting professional, physical, mental, and personal well-being.