Consumer Risk Lead ( Leading Fin-Tech) - #78206

As Consumer Risk Lead, you will assume a leadership role overseeing a multinational team responsible for identifying and addressing risk issues pertaining to both Consumers and businesss. In this capacity, your primary mission will be twofold: safeguarding company against fraudulent losses while simultaneously ensuring a seamless and secure experience for consumers.

Client Details

Our client operates within a vast digital ecosystem, with service acts as a bridge between individuals and a multitude of essential services.

Description

• Spearhead a diverse, global team comprising exceptionally talented professionals.
• Champion the identification and resolution of Risk-related challenges, safeguarding both company and its user base.
• Cultivate collaborative partnerships with teams across Business, Product, Engineering, and other vital functions to advance strategic objectives.
• Maintain open lines of communication with leadership and essential stakeholders, providing regular updates on status, overall health, and strategies to counteract fraudulent activities.
• Extract and interpret valuable insights from extensive datasets, enabling the detection of intricate fraud patterns.
• Assume full ownership of the end-to-end Risk strategy, ensuring comprehensive coverage and effectiveness.

Profile

• Minimum of 8+ years of experience in roles emphasizing analytical and problem-solving capabilities, gained within dynamic and fast-paced environments. Preference for experience in fraud/risk-related domains.
• Demonstrated proficiency in team management, with a particular emphasis on overseeing teams situated across multiple geographical locations.
• Proven track record of successfully conceiving, developing, and expanding programs, showcasing a penchant for taking ownership and delivering on ambitious objectives.
• Possess strong interpersonal and people management skills, enabling the establishment of trust-based relationships with a diverse spectrum of stakeholders while maintaining an impartial perspective.
• Proficiency in various technical skills, including but not limited to SQL, Big Query, Python, and the utilization of visualization tools such as Tableau and Data Studio.
• Familiarity with the application of Machine Learning (ML) models to address Risk-related challenges, with an added advantage of experience in classification algorithms, text mining, and unsupervised learning algorithms.

Job Offer

• Benefit & Remuneration
• Fast-paced environment