Job Location: Chandigarh

Job Detail:

• 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

• 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

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Job Location: Remote

Job Detail:

Role & responsibilities

Skilled in Python, SQL/NoSQL, AI/ML fundamentals, Natural Language processing techniques, supervised fine-tuning, unsupervised clustering, regression techniques.

develop SDKs and APIs to build agents, information retrieval and to build models as a service for powering generative AI workflows such as optimizing LLMs via RAG

Preferred candidate profile

Must be familiar with LLM -based Retrieval-based pipelines from complex metadata in documents (e.g., free form text, tables and figures), prompting approaches (e.g., React, multimodal-react, thought-prompting etc.) and conversational Human/Assistant dialogues to generate responses that are factually correct and may involve multi-step reasoning

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