Senior Risk Tools & Automation Lead

Jobgether; India; À distance; INR 3 780 000 - 5 400 000; Plein temps

Avantages offerts par ce poste

Remote working in India

Résumé du poste

Jobgether in India seeks a Senior Risk Tools & Automation Lead to transform risk investigation workflows. You will own the end-to-end agent experience, driving scalable operational solutions with AI-enhanced capabilities and close collaboration with Engineering, Data Science, Product, and Compliance teams.

You will shape the risk workbench vision, guide automation initiatives, and ensure governance and quality controls while delivering measurable impact in efficiency and accuracy.

Qualifications

• Bachelor's degree required; Master's preferred.
• 10+ years in operations, program management, or product management with 5+ years in fraud/payments risk or investigate-focused fields.
• Experience developing business requirements, user stories, and acceptance criteria.
• Familiarity with UX research and design methodologies.
• Ability to identify, implement, and scale automation initiatives with measurable results.
• Experience partnering with Engineering, Platform, and Data Science teams; cross-functional stakeholders.
• Strong analytical and problem-solving skills; SQL knowledge is a plus.
• Excellent written and verbal communication; able to explain complex concepts to executives.
• Risk and fraud expertise in payment fraud, chargebacks, or AML.
• Experience applying generative AI/LLMs in operational environments for agent assistance and automation.
• Familiarity with investigation workbenches, case management systems, RPA, or low-code tools.
• Leadership and change management capabilities.
• Industry background in ecommerce, travel, fintech, or tech-driven settings.

Responsabilités

• Own and optimize end-to-end risk investigation agent experience.
• Establish structured feedback channels and enable effective tool adoption.
• Translate needs into business requirements and own the tooling roadmap.
• Lead tooling requests from assessment to implementation; coordinate UAT and releases.
• Define a long-term vision for a unified risk investigation workbench.
• Identify automation opportunities and partner with Engineering/Data Science for AI features.
• Establish governance, quality controls, and monitoring for automation solutions.
• Develop business cases and track outcomes like efficiency and accuracy.
• Influence cross-functional stakeholders and communicate roadmaps and results to leadership.

Connaissances

Stakeholder management

Analytical thinking

SQL basics

Communication

Technical collaboration

Formation

Bachelor's degree

Master's degree

Outils

Case management systems

RPA tools

Low-code platforms

Workflow automation

Description du poste

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Risk Tools & Automation Lead based in India.

As a Senior Risk Tools & Automation Lead, you will play a key role in transforming the tools and workflows used by risk and fraud investigation teams. You will own the end-to-end agent experience, driving the development of efficient, intuitive, and scalable operational solutions. Working closely with Engineering, Data Science, Product, Design, Legal, and Compliance teams, you will translate operational challenges into impactful technical improvements. You will lead the development of next-generation risk workbenches and identify opportunities to streamline processes through automation and artificial intelligence. Your work will help reduce manual effort, improve investigation accuracy, accelerate decision-making, and strengthen fraud prevention. This is an opportunity to influence strategic initiatives within a global, technology-driven environment while delivering measurable operational impact.

Accountabilities

• Agent Experience Optimization: Own and continuously improve the end-to-end experience of risk and fraud investigation teams, covering case intake, investigation, decision-making, documentation, and quality reviews. Observe agent workflows, identify operational challenges, and measure inefficiencies related to handling time, manual steps, context switching, and error rates.
• Stakeholder Feedback and Enablement: Establish structured feedback channels, including surveys, office hours, agent networks, and request management processes. Collaborate with Training, Quality, and Workforce Management teams to ensure new tools are effectively introduced through appropriate documentation, training, and adoption monitoring.
• Requirements and Roadmap Management: Translate operational needs into clear business requirements, user stories, and acceptance criteria. Own the operational risk tooling roadmap and backlog, prioritizing improvements according to business impact, efficiency gains, risk reduction, and regulatory requirements.
• Project Delivery and Testing: Manage tooling requests from initial assessment through implementation. Lead user acceptance testing (UAT), release readiness activities, and post-launch performance evaluations to ensure solutions meet operational expectations.
• Workbench Design and Innovation: Define the long-term vision for a unified risk investigation workbench that integrates relevant signals, account histories, payment information, linked entities, and decision-making capabilities. Partner with Design, Platform, and UX Research teams to develop journey maps, wireframes, prototypes, and usability testing initiatives.
• Automation and AI Integration: Identify opportunities to automate repetitive operational activities, including case routing, information gathering, data enrichment, case summarization, documentation, and low-risk decision-making. Partner with Engineering and Data Science teams to implement AI-powered capabilities such as agent copilots, recommended actions, and automated workflows.
• Governance and Quality Controls: Establish human-in-the-loop processes, monitoring frameworks, and quality safeguards to ensure automation and AI solutions maintain accuracy, fairness, security, and regulatory compliance.
• Performance Measurement: Develop business cases for automation initiatives, quantify expected efficiency improvements, and track measurable outcomes such as reduced handling times, improved throughput, increased accuracy, and financial loss prevention. Communicate progress and results to senior leadership.
• Cross-Functional Leadership: Act as the primary operational partner for risk tooling initiatives, aligning Engineering, Platform, Data Science, Design, Policy, Legal, Compliance, and Finance stakeholders. Influence strategic decisions, manage competing priorities, and communicate roadmaps, timelines, and project outcomes to both operational teams and executive audiences.

Requirements

• Education: Bachelor's degree required; a Master's degree is preferred.
• Professional Experience: At least 10 years of experience in operations, program management, or product management, including a minimum of 5 years in fraud, payment risk, trust and safety, or a related investigation-focused field.
• Product and Requirements Management: Demonstrated experience developing business requirements, user stories, and acceptance criteria that have resulted in successfully delivered tools and measurable operational improvements.
• UX and Design Knowledge: Familiarity with user experience research and design methodologies, including discovery interviews, journey mapping, usability testing, wireframes, and prototypes.
• Automation and Process Improvement: Proven ability to identify, implement, and scale automation or operational efficiency initiatives, with measurable results in productivity, handling time, accuracy, throughput, or risk reduction.
• Technical Collaboration: Experience partnering with Engineering, Platform, and Data Science teams, as well as non-technical stakeholders across Operations, Legal, Compliance, and Finance.
• Analytical Skills: Strong analytical and problem-solving capabilities, with the ability to use data to evaluate opportunities, develop business cases, and measure performance. SQL or similar data analysis skills are an advantage.
• Communication Skills: Excellent written and verbal communication, with the ability to explain complex technical and operational concepts clearly to different audiences, including senior executives.
• Risk and Fraud Expertise: Working knowledge of payment fraud, chargebacks, account takeover, identity verification, anti-money laundering (AML), or related risk management processes.
• AI and Emerging Technologies: Experience applying generative AI or Large Language Models (LLMs) in operational environments, particularly for agent assistance, case summarization, and automated decision support, is highly desirable.
• Tools and Platforms: Familiarity with investigation workbenches, case management systems, workflow automation platforms, rules engines, robotic process automation (RPA), or low-code solutions is an advantage.
• Leadership and Change Management: Experience driving cross-functional initiatives, managing stakeholder expectations, and implementing change across large, geographically distributed operations teams.
• Industry Background: Previous experience in e-commerce, travel, fintech, payments, or other technology-driven environments is preferred.
• Personal Attributes: Strong strategic thinking, ownership, adaptability, and stakeholder management skills, with the ability to influence without direct authority and deliver results in complex, fast-paced environments.

Benefits

• Competitive Compensation: Annual base salary ranging from ₹3,780,000 to ₹5,400,000 INR, inclusive of applicable allowances.
• Performance Incentives: Potential eligibility for additional bonuses and incentive programs.
• Equity Opportunities: Eligibility for one or more company equity programs, depending on applicable employment terms.
• Travel Benefits: Employee Travel Credits.
• Additional Benefits: Access to employee benefits and support programs, subject to employment eligibility and applicable local policies.
• Flexible Work Environment: Remote working opportunity based in India.
• Professional Impact: Opportunity to lead strategic initiatives involving fraud prevention, risk management, operational transformation, and AI-powered automation.
• Global Collaboration: Work alongside multidisciplinary teams and stakeholders in an international technology environment.
• Inclusive Workplace: Commitment to equal employment opportunities, diversity, accessibility, and reasonable accommodations throughout the recruitment process.