Job Description

Company DescriptionWe are a leading US-based AI Robotics Company looking to set up an Analytics/Decision Sciences Start-up in Chandigarh, India. The leadership team has collective over 100 years of experience building Decision Sciences capabilities at several Fortune 100 companies (including GE Capital, Citibank, Cigna etc.) in the US, India and over thirty countries around the world. The Center will build and host excellent Analytics talent working with latest technologies, directly with our business partners/clients in the US. Besides business, technical and communication skills, we look to our talent to bring entrepreneurial skills required by a start-up, with focus on actively solving business problems, while leading global engagements with clients.Responsibilities The Analyst will be responsible for

• Leveraging internal and external data, using cutting-edge analytical tools

• Build and implement account-level scorecards and predictive models to target accounts most likely to be collected

• Drive strategic change independently by developing, delivering and executing analytics in close coordination with Collections and Recovery Operations and IT

• Develop and improve operations and executive dashboard to update leadership

• Provide leadership updates on analytics and outcomes used in operations and strategies to CEO, COO and CFO

• Ensure good understanding of day-to-day operations with buy-in from operations IT/Systems team to ensure strategies can be successfully able implemented

• Ensure compliance with US regulations and laws, including emerging changes

QualificationsRequirements for the Job

• Understand and add value to operations and executive dashboards that add value to day-today collections operations, with ability to communicate analytics and results and strategies to Group CFO and CEO

• Hands on experience using statistical computer languages (R, Python, SQL, SAS/SPSS etc.) to source, clean, organize and manipulate data and draw insights from large data sets

• Strong understanding and experience with a variety of machine learning techniques (clustering, decision-tree learning, artificial neural networks, etc.) and applying them for real-world applications leveraging their advantages while addressing drawbacks.

• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.

• Ability to build statistical models, scorecards, design calling/collection strategies, best-timeto-call, optimal call per customer, create test-and-learn and champion-challenger environment to continuously increase recoveries while improving collection efficiencies, impacting productivity.

• Basic understanding of US laws and regulatory environment, on call thresholds and Zero Defect Compliance, while ensuring call optimization through analytics.

• Basic understanding of Collections, Warm Transfer, Call Quality Monitoring, e-OSCAR, and Skip Tracing preferred, or have ability and willingness to rapidly learn while delivering in the business environment

• Work independently in an operations environment, interacting with internal and external Collections & Recovery Operations and IT leadership

• Lead change management by using analytics to drive change

• Ability to learn from and contribute to day-to-day Collections Operations and from client/leadership interactions

• Strong problem-solving skills with focus on finding analytic solutions in a dynamic Collections environment

• Excellent written and verbal communication skills for coordinating across US teams and client organizations

• Self-motivated to learn and master new and emerging analytic technologies and techniques

Additional InformationAll your information will be kept confidential according to EEO guidelines.

Kimoha Technologies