Consultant- Data Science and Analytics
Summary
Data Science and Analytics Consultant focused on building credit risk and BI solutions for financial services/lending clients, using R, Python, SQL, and big-data tools like Spark and Hive in cloud environments.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Consultant- Data Science and Analytics based in India.
This role offers the opportunity to apply advanced analytics and data science to real-world credit risk and business intelligence challenges.
You will contribute to the development of predictive and analytical solutions serving financial services and consumer lending organizations.
The position combines hands-on programming, statistical analysis, consulting, and client-facing problem solving.
You’ll work with large-scale datasets and modern cloud and big-data technologies to uncover actionable insights.
The role involves close collaboration with internal teams, external clients, and senior stakeholders across a global environment.
You’ll have the opportunity to influence product innovation while helping customers make better risk and business decisions.
This is a remote position based in India, with occasional travel and potential attendance at work-related events.
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.
- 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%.
- 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.
Requirements
Benefits
As published by lever
Resume/CV, Full name, Email, Phone, Current location, Current company