Data Analyst, Risk Analytics

Company Description

About Grab and Our Workplace

Grab is Southeast Asia's leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, we've got your back with everything. In Grab, purpose gives us joy and habits build excellence, while harnessing the power of Technology and AI to deliver the mission of driving Southeast Asia forward by economically empowering everyone, with heart, hunger, honour, and humility.

Job Description

Get to Know the Team

The Integrity team is dedicated to safeguarding our users on Grab. We use our datasets to address multiple challenges, from ensuring safety to preventing fraud. We are involved in the entire data lifecycle, including analyzing user behavior, identifying anomalies, and developing detection and prevention modules for suspicious activities. If you're enthusiastic about solving complex problems that have a direct, real-world impact, we'd love to have you on board!

Get to Know the Role

Reporting to the Senior Analytics Manager in the Integrity team (Trust, Identity & Safety), you will take part in identifying, assessing, and mitigating risks through advanced data analysis techniques. Your insights will guide strategies to safeguard our diverse user base from multiple types of fraud and risk.

This role is based onsite in our Petaling Jaya office.

The Critical Tasks You Will Perform

• You will collect, process, and analyze large volumes of data to identify patterns, trends, and potential risks.
• You will develop and maintain statistical models and algorithms to assess different types of risks (e.g., credit, market, or operational)
• You will create comprehensive reports and data visualizations to communicate findings to stakeholders.
• You will collaborate with cross-functional teams to implement risk management strategies.
• You will evaluate the effectiveness of risk models and make necessary adjustments.
• You will assist in the development of risk management policies and procedures.
• You will Provide data-driven insights to support decision-making processes.
• You will contribute to the continuous improvement of data quality and analysis methodologies.
  
  

Qualifications

What Essential Skills You Will Need

• Bachelor's Degree or Master's Degree in Statistics, Mathematics, Computer Science, or a related field
• At least 2 years in data analysis especially in risk analytics
• Proficient in data analysis tools such as SQL, Python, and R
• Experience with data visualization tools (e.g., Tableau, Power BI)
• Expertise in statistical modeling and machine learning techniques
• Understanding of risk management frameworks and methodologies
• Experience working with large datasets and complex data structures
• Knowledge of financial risk management principles, including credit risk, market risk, and operational risk
• Familiarity with regulatory requirements in the financial sector
  
  

Additional Information

Life at Grab

We care about your well-being at Grab, here are some of the global benefits we offer:

• We have your back with Term Life Insurance and comprehensive Medical Insurance.
• With GrabFlex, create a benefits package that suits your needs and aspirations.
• Celebrate moments that matter in life with loved ones through Parental and Birthday leave, and give back to your communities through Love-all-Serve-all (LASA) volunteering leave
• We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through life's challenges.
• Balancing personal commitments and life's demands are made easier with our FlexWork arrangements such as differentiated hours
  
  

What We Stand For At Grab

We are committed to building an inclusive and equitable workplace that provides equal opportunity for Grabbers to grow and perform at their best. We consider all candidates fairly and equally regardless of nationality, ethnicity, race, religion, age, gender, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.