In a landmark development for Southeast Asia's digital economy, PT GoTo Gojek Tokopedia, commonly known as GoTo, emerged from the strategic merger of two Indonesian tech giants: Gojek and Tokopedia. This formidable alliance, officially announced in Jakarta on May 17, 2021, instantly captured global attention, uniting Indonesia's largest unicorns. The consolidation propelled their combined valuation to an impressive US$18 billion, a figure underpinned by significant funding rounds for Gojek in 2019 and Tokopedia in early 2020. GoTo stands as a testament to innovation, continuously shaping the future of technology and digital services across the region.
## Career Opportunity at PT GoTo Gojek Tokopedia Tbk
GoTo Financial is actively seeking ambitious talents to join its prestigious Lending Risk Analyst Acceleration Program, an unparalleled opportunity designed to cultivate future leaders in the digital finance sector.
Lending Risk Analyst Acceleration Program Overview
This intensive program is meticulously structured to fast-track the careers of early-stage Lending Risk Analysts. Participants will gain unparalleled exposure to real-world business challenges and benefit from direct mentorship provided by both local and global industry experts. More than just a role, this initiative is a structured rotational program, specifically crafted to develop the next generation of risk leaders within the dynamic digital finance space, offering an accelerated path to career progression for high-potential individuals.
As a trainee, you will embark on a comprehensive, hands-on learning journey, engaging in structured rotations across various specialized functions within our Lending Risk division. This immersive experience will enable you to develop profound expertise in identifying, assessing, and effectively mitigating the most critical risks inherent in our sophisticated financial ecosystems. Working alongside seasoned industry professionals, you will acquire the essential skills to balance innovative approaches with prudent risk management, significantly accelerating your professional growth within one of Southeast Asia's fastest-growing fintech environments. Your contributions will directly influence and help reshape the future of the lending industry. If you are enthusiastic about embracing this challenging and rewarding opportunity, this role is precisely for you.
Core Responsibilities: What You Will Achieve
Participants in the Lending Risk Analyst Acceleration Program will undertake a diverse range of critical tasks, including:
* Risk Analytics & Insights:
* Leveraging extensive datasets to extract actionable insights.
* Identifying emerging risk trends and patterns.
* Monitoring portfolio performance comprehensively.
* Supporting the development and implementation of data-driven risk strategies across both credit and fraud domains.
* Rotational Exposure:
* Engaging in structured rotations across distinct functions within Credit Risk and Fraud Risk.
* Gaining a holistic understanding of the end-to-end risk management lifecycle.
* Risk Monitoring:
* Assisting the team in executing daily risk monitoring activities.
* Tracking key risk indicators (KRIs) meticulously.
* Generating regular and insightful risk reports for various stakeholders.
* Policy & Process Improvement:
* Collaborating with team leads to meticulously review and enhance existing risk policies.
* Improving standard operating procedures and internal controls to ensure robustness and scalability.
* Cross-Functional Collaboration:
* Working closely with Senior Team Leads (STLs), Finance, Product, and Engineering teams.
* Ensuring that critical risk considerations are seamlessly integrated into all new product launches and feature developments.
* Project Support:
* Contributing actively to special projects and strategic initiatives aimed at modernizing the overall risk management framework.
* Exploring and evaluating new tools or methodologies to enhance risk assessment and mitigation.
Essential Qualifications: What You Will Bring
To be considered for this exceptional program, candidates must meet the following criteria:
* Educational Background:
* A fresh graduate or recent graduate (having graduated within the last two years).
* Possession of a Bachelor’s or Master’s degree from a reputable university.
* Field of Study:
* A strong academic track record in quantitative fields such as Statistics, Mathematics, Engineering, Computer Science, Economics, Finance, or other related disciplines.
* Data Proficiency:
* Demonstrated analytical skills with hands-on experience in data analysis tools (e.g., Excel, SQL, Python, or R) is highly preferred.
* Problem-Solving Mindset:
* Possession of logical thinking and structured problem-solving capabilities.
* A genuine passion for data analysis and a keen interest in tackling complex challenges.
* Adaptability:
* An eagerness to learn quickly and adapt effectively to new challenges within a fast-paced, ever-changing fintech landscape.
* Communication:
* Excellent verbal and written communication skills in English are paramount.
* The ability to clearly articulate complex ideas to both technical and non-technical stakeholders.
* A proven ability to work collaboratively within cross-functional teams.
* Attitude:
* Highly motivated, exceptionally detail-oriented, and possessing a strong sense of integrity and ownership in all endeavors.