Job Description
An opening exists for an AI Fraud & Risk Detection Lead to join the Artificial Intelligence (AI) vertical, focused on AI-driven Risk Management. This is a senior level opening based out of Delhi NCR, offered on a full-time basis.
The ideal candidate holds M.Tech (AI/ML) and brings roughly 9 years of hands-on exposure to ai-driven risk management. Day-to-day, the work draws heavily on Statistical Modelling, Deep Learning, Cloud Platforms (AWS/GCP/Azure), Computer Vision, and the person will be expected to apply these skills independently rather than under constant supervision.
Compensation for this position is structured around INR 11.1-36.9 LPA, in line with market standards for senior level roles within artificial intelligence (ai).
Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. The package is structured with a fixed component, performance bonus, and standard health coverage.
Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. Mornings are usually spent on planning and status reviews, while the rest of the day is given over to hands-on delivery and problem-solving.
Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. Internal job postings are open to employees who've completed a minimum tenure in their current role.
Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments.
Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. There is a defined internal mobility path for people who want to specialise deeper or move into people management.
Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. Interested candidates should be prepared to walk through relevant past work during the interview process. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held.
Relocation assistance may be extended for candidates moving from a different city, subject to approval. Compensation includes standard statutory benefits along with performance-linked variable pay.
The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. Most days include at least one review checkpoint where progress is discussed against the plan for the week.
Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. High performers in this role typically move into a broader ownership scope within 18-24 months.
The next logical step from this position is a senior or lead-track role within the same function. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager.
Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding.
Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here.
Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. References may be requested closer to the offer stage rather than at the start of the process.
A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.
We value consistency and follow-through more than flashy credentials - if that matches how you work, apply in.
The ideal candidate holds M.Tech (AI/ML) and brings roughly 9 years of hands-on exposure to ai-driven risk management. Day-to-day, the work draws heavily on Statistical Modelling, Deep Learning, Cloud Platforms (AWS/GCP/Azure), Computer Vision, and the person will be expected to apply these skills independently rather than under constant supervision.
Compensation for this position is structured around INR 11.1-36.9 LPA, in line with market standards for senior level roles within artificial intelligence (ai).
Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. The package is structured with a fixed component, performance bonus, and standard health coverage.
Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. Mornings are usually spent on planning and status reviews, while the rest of the day is given over to hands-on delivery and problem-solving.
Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. Internal job postings are open to employees who've completed a minimum tenure in their current role.
Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments.
Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. There is a defined internal mobility path for people who want to specialise deeper or move into people management.
Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. Interested candidates should be prepared to walk through relevant past work during the interview process. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held.
Relocation assistance may be extended for candidates moving from a different city, subject to approval. Compensation includes standard statutory benefits along with performance-linked variable pay.
The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. Most days include at least one review checkpoint where progress is discussed against the plan for the week.
Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. High performers in this role typically move into a broader ownership scope within 18-24 months.
The next logical step from this position is a senior or lead-track role within the same function. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager.
Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding.
Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here.
Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. References may be requested closer to the offer stage rather than at the start of the process.
A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.
We value consistency and follow-through more than flashy credentials - if that matches how you work, apply in.