• Process Migration & Transition: Lead the migration of fraud operations from the client, en-suring minimal disruption and a smooth integration of all fraud-related processes.
• Team Building & Management: Recruit, onboard, and manage a high-performing fraud op-erations team of 30+ professionals across various sub-processes.
• Operational Leadership: Take full ownership of the fraud operations function and ensure that all systems and protocols align with both client and industry standards.
• Client Relationship Management: Serve as the primary point of contact with the client, building and nurturing strong relationships to ensure alignment with the client’s business goals, risk management strategies, and operational expectations.
• Performance & SLA Management: Define key performance indicators (KPIs) and service level agreements (SLAs). Monitor performance, ensuring that the team consistently meets or exceeds targets and delivers high-quality outcomes.
• Process Optimization & Continuous Improvement: Identify opportunities for process im-provements and automation to enhance fraud detection and prevention efforts. Leverage data analytics, technology, and industry best practices to drive operational excellence.

Minimum 12 years of experience in operations, with at least 5 years of experience in fraud opera-tions for a US-based company (preferably in telecom or financial services).

• Team Building & Leadership: proven track record of building and leading large teams from scratch, with the ability to recruit, mentor, and develop a team of 30+ professionals.
• BPO & Process Migration Expertise: significant experience in managing process migration and transitions in a BPO setting, with a deep understanding of fraud operations and client management for offshore services.
• Fraud Domain Expertise: extensive knowledge of fraud detection, prevention, and mitiga-tion strategies within telecom or financial services, with a focus on delivering results in a high-volume environment.
• Client-Facing Skills: strong client relationship management skills, with a history of working closely with US-based clients and delivering solutions that align with their needs.
• Operational Excellence: demonstrated ability to design and implement operational frame-works, processes, and controls that deliver measurable performance improvements and op-erational efficiency.

• Leading a dynamic team to deliver high impact risk solutions across credit risk (underwriting, exposure controls and line management).
• Work with stakeholders across product management, data science, and engineering to build relationship with the partner teams and drive implementation of risk strategies.
• Manage challenging time constraints to ensure on-time delivery of projects.
• Work closely with partner teams in identifying, evaluating, and recommending new data that helps in risk differentiation.
• Analyse loss trends and simulate risk decisioning strategies that help optimize revenue, approval rates etc.
• Work closely with data science team and recommends credit risk decisioning and model deployment strategy.
• Build a risk scorecard that leverages both internal performance data and external performance data that will be leveraged for credit decisioning at both underwriting and account management reviews for existing customers.
• Collates analysis and builds presentations that helps articulate the risk strategy for the leadership team.

• Quantitative background in engineering, statistics, math, economics, business, or related disciplines.
• 4+ years’ experience in analysing data and using database query language (e.g. SQL) analysis and programming and developer tools such as Python, R , databricks in a finance or analytics field.
• 1+ years of experience in leading high performing team of analysts.
• Experience in working with non-traditional data such as social media will be a big plus.
• Prior model building experience is a plus but not critical.
• Possesses analytical mindset and strong problem-solving skills. Attention to detail and ability to multitask.
• Comfortable working in a fast-paced environment and dealing with ambiguity.
• Possesses strong communication, interpersonal and presentation skills; and ability to engage and collaborate with multiple stakeholders across teams.
• Extremely proactive communicator willing to raise flags when needed and keep team members informed of ongoing risk or fraud related activities.

• Work on regular cases daily, performing quality audits and address escalated emails related to agencies and internal teams promptly and effectively.
• Work with stakeholders across product management, data science, and engineering to build relationship with the partner teams and drive implementation of risk strategiesGenerating and pulling reports to track progress, inform the team, and identify areas for improvement.
• Collaborating with the Audit team to streamline processes and improve efficiency.
• Conducting specialized new hire training, creating/updating job aids, and providing refresher training as needed.
• Assisting the Manager and providing backup support, including leading meetings and addressing escalated issues.
• Observing team performance to ensure adherence to company policies and procedures, conducting audits, and providing feedback/coaching to agents and other departments.
• Monitoring and responding to emails from escalated Recovery Distribution Lists (DLs), issuing daily reports to all agents and supervisors, and presenting opportunities for improved operational procedures.
• Proactively working on projects to ensure completion and contributing to frontline productivity when necessary.

• Bachelor’s degree in business administration, Management, or related field preferred.
• Proven experience of 4 to 6 years (with at least 1 year of team leading experience) in a similar support role, preferably in collections, payments, or back-office operations environment.
• Strong analytical skills with the ability to generate and interpret reports.
• Excellent communication and interpersonal skills.
• Ability to work independently and collaboratively within a team.
• Detail-oriented with strong organizational and multitasking abilities.
• Proficiency in Microsoft Office Suite and other relevant software.
• Knowledge of recovery processes and support resolution preferred.

• Manage Process Migration: Oversee the transition of the payments process from the US to India, ensuring a smooth, seamless handover of operations.
• Oversee Payments Operations: Manage the full lifecycle of payments operations, including chargebacks, disputes, and refunds, driving operational excellence in each process.
• Client Management: Act as a key point of contact for the client, ensuring communication is clear, proactive, and aligned with the client’s needs and expectations.
• SLA and Performance Management: Ensure processes are delivered within defined Service Level Agreements (SLAs) and Key Performance Indicators (KPIs).
• Process Optimization and Automation: Continuously identify opportunities for process improvement and automation to drive efficiency and scalability across operations.
• Team Leadership: Recruit, train, and manage a team of 20-30 employees across the payments process. Provide mentorship, coaching, and performance feedback.
• Cross-Functional Collaboration: Collaborate with cross-functional teams to align on process improvements, technology implementation, and operational strategy.
• Reporting and Analytics: Prepare and present regular reports to senior management and the client, tracking operational performance and identifying areas for improvement.
• Compliance and Risk Management: Ensure all processes comply with internal policies, industry regulations, and risk management guidelines.

• Experience: Minimum of 7-9 years of progressive experience in operations management, with a focus on back-office or payment-related processes, ideally within telecom.
• Payments Knowledge: Familiarity with payment operations, including chargeback, disputes, and refund functions. Experience in managing payment processes is highly desirable.
• Team Leadership: Proven experience in managing teams of 20+ employees, with strong leadership capabilities to recruit, mentor, and drive team performance.
• Client Management Skills: Experience managing offshore or outsourced client relationships, with the ability to effectively communicate and collaborate with US-based clients.
• Telecom Experience: Strong understanding of telecom operations, especially in a US-based context, is highly valued.
• Process Improvement Expertise: Demonstrated ability to drive process optimization and automation initiatives in operational settings.
• Migration Experience: Prior experience in successfully leading process migrations, especially in a global or offshore setup, is highly desirable.
• Analytical Skills: Strong analytical and problem-solving skills with the ability to use data to make informed decisions and provide insights to stakeholders.
• Project Management: Ability to manage multiple priorities, projects, and deliverables in a fast paced environment.
• Communication: Excellent communication, interpersonal, and client-facing skills, with a focus on building strong, long-term relationships.
• Educational Qualifications: A bachelor's degree in business, operations, or a related field. An advanced degree or certification in operations management would be an advantage.

• Document conversion, Data Extraction & Image Processing.
• Develop & maintain the code base for document extraction.
• Work closely with product & operations teams to maintain, troubleshoot & keep updating the document extraction product.
• Automate new bank statement documents across multiple markets.
• Should be open to work for morning or night shifts as per requirements.

• 4-5 years of Hands-on experience with JavaScript, Python, jQuery, MySQL, APIs, PHP.
• Excellent knowledge of Python & Regular Expressions.
• Excellent knowledge of libraries on PDF data extraction in Python.
• Good knowledge of document conversion/extraction, OCR.
• Good knowledge of codebase shares like Gitlab, bitbucket, and CI/CD process.
• Must be comfortable with Linux/windows-based Operating systems.
• Good to have knowledge about JavaScript/PHP.

• Ability to work with minimum guidance with new innovative solutions.
• High sense of ownership.
• Good Team Player and offers flexibility in terms of work hours.
• Good communication skills.
• Quick Learner and shows adaptiveness to highly challenging technical environment.

• UG: B. Tech /B.E. in computers.

• 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

• 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.