
Risk,corporate,enablingfunction,india
2 weeks ago
Required Experience**5 - 8 Years**
- Skills**Risk analysis,**
**fraud prevention,**
**fraud investigations**
We at Pine Labs are looking for those who share our core belief - “Every Day is Game day”. We bring our best selves to work each day to realize our mission of enriching the world through the power of digital commerce and financial services.
As the **Risk Lead - Fraud Analytics**, you will oversee the development and execution of strategies to detect, prevent, and respond to fraudulent activities within our payment's ecosystem. Utilizing advanced analytics and machine learning techniques, you will enhance our fraud detection capabilities. This role focuses specifically on fraud analytics, ensuring effective risk management and compliance with regulatory requirements.
- **Analyze and Develop Strategies**
- Implement essential rules within fraud management systems.
- Develop innovative strategies that enhance the fraud risk management framework in alignment with business requirements.
- ** Periodic Review and Process Improvement**
- Conduct periodic reviews of rules and processes to ensure effectiveness.
- Stay current on the latest automation requirements and process enhancements.
- Lead standardization, automation, and consolidation of processes through re-engineering initiatives aimed at enhancing Fraud Risk Management.
- ** Business Process Evaluation**
- Evaluate business processes, anticipate requirements, identify areas for improvement, and implement innovative solutions.
- Perform comprehensive requirements analysis to inform decision-making.
- Ensure solutions align with business needs and requirements.
- ** Communication and Reporting**
- Document and communicate analysis outcomes clearly and effectively.
- Convey insights and strategic plans to cross-functional team members and management.
- Gather critical information from stakeholder meetings and produce actionable reports.
- Publish daily, weekly, and monthly reports for management views.
- ** Stakeholder Collaboration and Compliance**
- Act as a liaison between stakeholders and users to facilitate effective communication.
- Collaborate with Business, Compliance, Risk teams, Product Owners, and Product Managers.
- Ensure the Fraud Risk Management framework is integrated and communicated to all stakeholders.
- Ensure compliance with established policies and procedures throughout the organization.
- ** Operational Efficiency and Monitoring**
- Monitor deliverables to ensure timely project completion and adherence to deadlines.
- Identify and monitor Key Performance Indicators (KPIs) to support strategic testing environments and optimize daily operations.
- Continuously enhance the operational efficiency and effectiveness of fraud risk management processes.
- Establish a comprehensive recovery tracking process for effective monitoring and follow-up.
**Relevant work experience**
- Strong proficiency in data analysis tools and programming languages (e.g., Python, R, SQL).
- Experience with machine learning techniques and frameworks.
- Familiarity with regulatory requirements related to fraud prevention (e.g., PCI DSS, GDPR).
- Demonstrated success in developing and implementing fraud detection models and analytics strategies.
- Ability to collaborate with stakeholders to develop innovative fraud risk management strategies.
- Experience in identifying and evaluating industry-leading fraud risk infrastructures and management practices.
- Ability to lead and drive process improvements in Fraud Risk Management.
- Strong communication skills to convey insights and strategic plans effectively.
- Experience with compliance and regulatory interactions, including auditors and regulators.
**Years of experience**
- 6-8 years of experience in fraud analytics or risk management.
- At least 2 years in a leadership role within the payments or fintech sector.
**Qualifications**
- ** Education**:
- ** Bachelor’s degree** in Finance, Statistics, Data Science, Computer Science, or a related field.
- A **Master’s degree** is preferred.
- ** Additional Qualifications**:
- Relevant certifications such as **Certified Fraud Examiner (CFE)** or **Financial Risk Manager (FRM)** are a plus.
- Familiarity with regulatory requirements like **PCI DSS** and **GDPR**.
**What we Value in Our people**
- You take the shot: You Decide Fast and You Deliver Right
- You are the CEO of what you do: you show ownership and make things happen
- You own tomorrow: by building solutions for the merchants and doing the right thing
- You sign your work like an artist: You seek to learn and take pride in the work you do
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