Trusting Social is an AI Fintech pioneer thats revolutionizing credit access in emerging markets. Our mission is Advancing AI to Meet the Financial Needs of Everyday Consumers with Empathy. Weve assessed over 1 billion consumers across four countries and were on a mission to provide 100 million credit lines using the power of AI and Big Data.
How you will make an impact in this role
The Technical Associate Manager is responsible for designing building and operating technology solutions for Risk with a strong focus on risk data pipelines analytics AI-driven tools and automation. The role supports early risk detection fraud prevention and post-approval risk control by delivering scalable and production-ready Risk capabilities.
This position sits within the Risk function and works closely with Engineering teams to enable and accelerate risk policy implementation through data prototypes services and integrations while ensuring alignment with existing Decision Engine architecture and engineering standards.
What you will do
- Design build and operate new Risk solutions to strengthen fraud prevention early risk detection and post-approval risk control focusing on capabilities that are parallel to the core Decision Engine.
- Develop and maintain risk data pipelines and feature layers (batch & near-realtime) to support fraud analysis credit risk assessment early warning and portfolio monitoring.
- Build automation-driven Risk tools (AI Agents automation services external data checks document verification network analysis etc.) to enhance Risks analytical and operational capabilities.
- Implement Risk capabilities as independent services or tools designed to integrate with existing workflow tools and to interface with the Decision Engine via APIs/webhooks without directly modifying or owning the Decision Engine core logic.
- Collaborate closely with the Partnership Engineering team to:
- Provide risk requirements data outputs and recommendations for policy changes
- Support Engineering in validating and testing new or updated risk logic
- Ensure alignment on architecture boundaries and integration standards
- Support risk policy changes indirectly by:
- Prototyping new risk logic and controls outside the Decision Engine
- Providing data-driven insights simulations and evidence to enable faster implementation by the Engineering team
- Develop monitoring testing and validation frameworks for Risk solutions including expected vs. actual outcome analysis operational alerts and audit support.
What you will need to have
Risk Expertise
- Strong understanding of credit risk and fraud risk in auto-approval no-income-proof real-time decision environments.
- Proven experience translating risk policies into executable decision logic.
- Solid knowledge of risk rating PD bad rate and early delinquency metrics.
- Strong understanding of common fraud patterns including identity theft encashment and merchant/employee fraud.
Technical Skills
- Experience designing and building data pipelines for risk and analytics use cases.
- Strong working knowledge of APIs (REST/JSON) for integrating decision logic with other systems.
- Hands-on experience with containerization (Docker) and deploying standalone services.
- Understanding of CI/CD pipelines and the ability to set up CI/CD for risk modules.
- Experience implementing logic as microservices or service layers that interact with the Decision Engine in real time.
Experience
- Minimum 5 years of experience in risk systems decision engines fraud platforms or credit platforms.
- Preferred background in banking fintech or consumer finance.
- Proven experience working closely with Risk teams and taking accountability for risk outcomes.
What We Offer
Join our vibrant team and enjoy:
- Competitive compensation including 13th-month salary and performance bonuses.
- Comprehensive health carefor you and your dependents.
- Generous leave policiesand flexible work hours.
- Convenient District 1 office location (next to the metro station).
- On-site lunch Grab for work allowance and fully equipped workstations.
- Funteam-building activities sponsored sports clubs and Thursday happy hours.
- Unlimited free coffee tea snacks and fruit.
- A chance to make a profoundsocial impactby democratizing credit access in emerging markets.
At Trusting Social we live byextreme ownership data-driven decisions mindfulness and audacity. Were committed to doing whats right best and truly innovative. If youre smart driven and want to make a difference with advanced technology join us. We offer the runway to truly make an impact.
For more information about us please visit our website:
Required Experience:
Manager
Trusting Social is an AI Fintech pioneer thats revolutionizing credit access in emerging markets. Our mission is Advancing AI to Meet the Financial Needs of Everyday Consumers with Empathy. Weve assessed over 1 billion consumers across four countries and were on a mission to provide 100 million cred...
Trusting Social is an AI Fintech pioneer thats revolutionizing credit access in emerging markets. Our mission is Advancing AI to Meet the Financial Needs of Everyday Consumers with Empathy. Weve assessed over 1 billion consumers across four countries and were on a mission to provide 100 million credit lines using the power of AI and Big Data.
How you will make an impact in this role
The Technical Associate Manager is responsible for designing building and operating technology solutions for Risk with a strong focus on risk data pipelines analytics AI-driven tools and automation. The role supports early risk detection fraud prevention and post-approval risk control by delivering scalable and production-ready Risk capabilities.
This position sits within the Risk function and works closely with Engineering teams to enable and accelerate risk policy implementation through data prototypes services and integrations while ensuring alignment with existing Decision Engine architecture and engineering standards.
What you will do
- Design build and operate new Risk solutions to strengthen fraud prevention early risk detection and post-approval risk control focusing on capabilities that are parallel to the core Decision Engine.
- Develop and maintain risk data pipelines and feature layers (batch & near-realtime) to support fraud analysis credit risk assessment early warning and portfolio monitoring.
- Build automation-driven Risk tools (AI Agents automation services external data checks document verification network analysis etc.) to enhance Risks analytical and operational capabilities.
- Implement Risk capabilities as independent services or tools designed to integrate with existing workflow tools and to interface with the Decision Engine via APIs/webhooks without directly modifying or owning the Decision Engine core logic.
- Collaborate closely with the Partnership Engineering team to:
- Provide risk requirements data outputs and recommendations for policy changes
- Support Engineering in validating and testing new or updated risk logic
- Ensure alignment on architecture boundaries and integration standards
- Support risk policy changes indirectly by:
- Prototyping new risk logic and controls outside the Decision Engine
- Providing data-driven insights simulations and evidence to enable faster implementation by the Engineering team
- Develop monitoring testing and validation frameworks for Risk solutions including expected vs. actual outcome analysis operational alerts and audit support.
What you will need to have
Risk Expertise
- Strong understanding of credit risk and fraud risk in auto-approval no-income-proof real-time decision environments.
- Proven experience translating risk policies into executable decision logic.
- Solid knowledge of risk rating PD bad rate and early delinquency metrics.
- Strong understanding of common fraud patterns including identity theft encashment and merchant/employee fraud.
Technical Skills
- Experience designing and building data pipelines for risk and analytics use cases.
- Strong working knowledge of APIs (REST/JSON) for integrating decision logic with other systems.
- Hands-on experience with containerization (Docker) and deploying standalone services.
- Understanding of CI/CD pipelines and the ability to set up CI/CD for risk modules.
- Experience implementing logic as microservices or service layers that interact with the Decision Engine in real time.
Experience
- Minimum 5 years of experience in risk systems decision engines fraud platforms or credit platforms.
- Preferred background in banking fintech or consumer finance.
- Proven experience working closely with Risk teams and taking accountability for risk outcomes.
What We Offer
Join our vibrant team and enjoy:
- Competitive compensation including 13th-month salary and performance bonuses.
- Comprehensive health carefor you and your dependents.
- Generous leave policiesand flexible work hours.
- Convenient District 1 office location (next to the metro station).
- On-site lunch Grab for work allowance and fully equipped workstations.
- Funteam-building activities sponsored sports clubs and Thursday happy hours.
- Unlimited free coffee tea snacks and fruit.
- A chance to make a profoundsocial impactby democratizing credit access in emerging markets.
At Trusting Social we live byextreme ownership data-driven decisions mindfulness and audacity. Were committed to doing whats right best and truly innovative. If youre smart driven and want to make a difference with advanced technology join us. We offer the runway to truly make an impact.
For more information about us please visit our website:
Required Experience:
Manager
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