As a Bancassurance Sales Specialist you'd be able to work on and solve many interesting challenges which we are facing, learn new ways of working, and help build delightful high quality products for our customers.

Job Description

As a Bancassurance Specialist, you will play a key role in driving the growth and success of our bancassurance channel by managing relationships with bank clients and promoting our comprehensive suite of insurance products. You will work closely with the bank partner to create tailored solutions that meet the financial and insurance needs of their customers, leveraging your strong expertise in insurance and sales to drive results. This is an exciting opportunity for individuals who are passionate about financial services and thrive in a dynamic, fast-paced environment.

The Role Responsibility:

• Sales & Relationship Management: Develop and maintain strong relationships with bank clients, driving sales of insurance products through proactive outreach and regular follow-up to ensure customer satisfaction and retention. Conduct customer needs analysis to identify gaps and ensure that customer needs are met with insurance solutions that align with their financial goals.
• Product Knowledge & Consultation: Act as a subject matter expert on a wide range of insurance products, providing valuable and accurate financial advice and guidance to existing bank partner’s customers. Stay up to date with the latest product offerings and market trends to effectively promote solutions that deliver optimal value.
• Business Development: Identify new business opportunities and expand the bancassurance channel through effective networking, prospecting, and leveraging existing relationships with bank partners. Build a pipeline of leads and convert them into long-term clients.
• Target Achievement: Meet and exceed sales targets and KPIs, contributing to the overall growth and profitability of the bancassurance division. Use data and analytics to monitor performance and continuously improve sales strategies.
• Compliance & Risk Management: Ensure proper advisory procedures and documentation while adhering to all regulatory requirements, business processes and company policies, maintaining a high standard of professionalism and ethical conduct in all interactions.

Our Ideal Candidate:

• We’re looking for individuals with a background in financial services, sales, or client advisory roles. What matters most is your ability to build strong client relationships and deliver results — qualities that drive success and make a real impact within our team.
• A diploma (local polytechnic or equivalent) or degree in Finance, Business, or a related field is
• Relevant certifications (i.e., CMFAS modules such as M5, M9, M9A, HI, BCP, PGI) will be advantageous
• Strong track record of success in sales, with a focus on achieving business growth through the bancassurance channel.
• In-depth knowledge of insurance products, including life, health, and general
• Excellent communication and interpersonal skills, with the ability to build rapport and trust with clients.
• Strong business acumen and the ability to identify opportunities for growth within the bancassurance channel.
• Ability to work independently as well as in a team-oriented

As a Credit Risk Specialist you'd be able to work on and solve many interesting challenges which we are facing, learn new ways of working, and help build delightful high-quality products for our customers.   

Job Description  

To design and build Credit risk management solutions and strategies for entire customer lifecycle, i.e., Originations, Portfolio Management and Collections, for Retail Assets, leveraging data and analytics outcomes. 

The Role Responsibility:  

• Analyse diverse data required to develop risk strategies for the Bank 

• Undertake credit and fraud risk strategy design and development on lending propositions, with focus on high quality, delivery within agreed timelines and alignment with approved credit policy 

• Design, develop and implement data-driven risk strategies (cut-off setting, indebtedness checks, loan amount assignment, risk-based-pricing) for lending products using traditional, and non-traditional data  

• Decipher and incorporate local regulatory requirement related to unsecured lending in the credit risk strategy 

• Ensure new origination, portfolio and collections performance meets defined key performance indicators and within the defined risk appetite and ensure consistent application and enforcement of risk policies 

• Ensure that risk strategies are accurately tested and continually benchmarked with the help of advanced data analytics 

• Work independently with various stakeholders such as Product, Technology, Data Engineering, Analytics, etc. to align with business goals 

• Lead the effort on documentation and adhering to risk approval process related to risk strategy design and development 

Role Specific Technical Competencies: 
 

Our Ideal Candidate:  

• At least 7 years of relevant experience  

• Good judgement and clear thinking in solving business problems 

• In depth understanding of local regulation related to unsecured lending. 

• Strong analytical ability, with technical competency to deliver industry standard outputs 

• Sound knowledge of Credit Risk, with ability to perform related data analysis for strategy development, customer segmentation, and/or credit policy formulation 

• Solid experience in credit risk modelling, including PD, LGD, and EAD frameworks.  Proven track record in applying credit risk model, and/or model implementation and validation 

• Good understanding in latest developments in Artificial Intelligence and Machine Learning models preferably in the context of retail credit risk 

• Strong interpersonal skills with the ability to engage and influence multiple stakeholder and drive decisions 

• Strong Communication (written and oral) and presentation skills. 

• Self-starter, motivated, curious, and energetic to grow with the Bank.  

We’re a fast-growing cloud-native digital bank looking for a Lead SRE / Platform Engineer to drive initiatives to improve the reliability, resilience, and efficiency of the platform that powers our products. This is a hands-on role with leadership responsibilities: you’ll help set the technical direction for how we operate, scale, and secure our infrastructure, and you’ll build the systems that let us move quickly without breaking things.
You’ll be part of a core team that is trusted to keep it running smoothly, make it faster, and turn toil into code.

What you’ll do

• Own the observability platform. Logs, metrics, traces, events — the full picture. Make signals actionable, reduce alert fatigue, and give every team the tools to understand their systems in production.
• Build agentic SRE systems. Design and ship AI agents that investigate incidents, execute runbooks, automate remediation, and close the loop on production issues. Bring context and harness engineering discipline to agent design: grounded context, well-scoped tools, evals, and guardrails.
• Automate the platform. Turn manual processes into self-service. Every recurring operational task is a candidate for elimination.
• Drive resiliency automation. Lead initiatives such as chaos engineering, cost and performance optimization, and capacity forecasting.
• Lead through influence. Set technical direction, mentor engineers, help unblock them when they hit issues, and write the design docs that get referenced for years. Raise the bar on what “operational excellence” means here.
• Be the calm in the storm. Jump in to diagnose and remediate critical infrastructure issues. Support the team during critical deployments — you're expected to be hands-on when it matters most.

What we’re looking for

• 8+ years in SRE, platform, or infrastructure engineering, with deep production ownership of a non-trivial cloud platform.
• Strong system design chops. You can reason end-to-end about distributed systems and event-driven architectures, including failure modes and the tradeoffs between consistency, availability, latency, and cost.
• AWS and Kubernetes experience. Comfortable with EKS internals, networking, IAM/IRSA, service mesh (Istio), and the control-plane/data-plane split.
• Hands-on with the rest of our stack — Kafka, Aurora PostgreSQL / RDS PostgreSQL, S3, ELB — or equivalent managed data and networking primitives.
• Proven track record owning resiliency in a high-velocity environment: incident command, postmortems that actually change things, SLO-driven engineering, progressive delivery.
• Experience with context engineering and harness engineering — building LLM and agent systems where the prompt, retrieved context, tool surface, and eval harness are first-class engineering artifacts.
• A clear vision for what zero-downtime, zero-touch, zero-trust looks like in practice, and a track record of moving real systems toward it.
• Fluent in IaC (Terraform, Helm, or similar) and CI/CD. You believe platforms are products and treat them as such.
• FinOps mindset. Comfortable analyzing cloud cost reports, identifying inefficiencies, and driving optimization initiatives that balance cost with performance and reliability.

Our ideal candidate has

• Financial services or other regulated-environment experience.
• Experience integrating AI/LLM systems into production operational workflows — not just experiments.
• Expertise in OpenTelemetry and the broader observability ecosystem.
• Experience with Sumologic and PagerDuty (or equivalent observability and incident management tooling).
• A continuous learning mindset — you stay current and bring new ideas to the table.
• Strong stakeholder communication and management skills — you can translate technical concepts for non-technical audiences and build alignment across teams.

As a Product Management Intern, you'd be able to work on and solve many interesting challenges which we are facing, learn new ways of working, and help build delightful high-quality products for our customers. 

Job Summary:

Trust is laser-focused on building products that will delight our users- a user-first approach that has helped us become the fastest growing bank in Singapore’s history. This is a great opportunity for a passionate and driven Product Management Intern to learn and experience first-hand, how to build products that gain product-market fit quickly and effectively.

Our Product team places a strong emphasis on mentorship and coaching- you will get to learn directly from an experienced Product team with people from tech companies and financial institutions.

The Product Management Intern will work directly with and in a specific Product team. Candidates can indicate a preferred team during application. The 2 product teams available are:

1) Digital Wealth

2) Credit Cards & Lending

Key Responsibilities

• Conduct user research and product discovery to understand pain points and deliver product memos that define the ‘why’ of each product, and its strategy
• Design screen mockups, deliver PRDs that illustrate what problems we are solving and how, and present to developers and designers
• Write clear and comprehensive user stories to ensure product quality
• Conduct user acceptance tests during development
• Monitor and analyse product performance via user feedback and recorded data
• Identify new opportunities through segmentations using analytics
• Managing of the product lifecycle to drive income growth
• Collaborate with cross-functional teams, including engineering, design, marketing, and customer service, to ensure successful product development

Our Ideal Candidate: 

• Able to commit for 3 months (full-time)
• Pursing a Bachelors degree in related business or technical field, or equivalent (preferably Engineering or Data Analysis)
• Familiar with PRD elements (e.g. wireframes, figma, TDD)
• Strong documentation, presentation, analytical and communication skill
• Demonstrated background of extra-curricular achievement or relevant internships
• SQL, python, Tableau and Google Analytics/ Data Studio knowledge is a plus

Role Specific Technical Competencies 

• Ability to build relationships with, and influence, cross-functional teams (e.g. Engineering, Customer Service, Marketing)
• Self-starter- with a bias for action
• Strong interest in Product Management as a career

As a Backend Engineering Lead you'd be able to work on and solve many interesting challenges which we are facing, learn new ways of working, and help build delightful high quality products for our customers.  

Key Responsibilities

Technical Vision and Strategy

• Defines and communicates the technical vision and strategy for the engineering team, aligning it with overall business objectives.
• Evaluates emerging technologies and industry trends — including AI/ML capabilities, LLM-based tooling, and agentic frameworks — to inform technical roadmaps and architectural decisions.

Team Leadership and Mentorship

• Leads and mentors a team of engineers, fostering a culture of collaboration, innovation, and continuous learning.
• Provides guidance and support to team members, empowering them to grow both technically and professionally.
• Builds AI literacy across the team — ensuring engineers can effectively leverage AI-assisted development tools (code generation, automated review, test generation) while maintaining critical thinking about AI outputs.
• Coaches engineers on prompt engineering, AI pair-programming workflows, and when to trust vs. verify AI-generated code.

Project Management and Execution

• Manages technical projects from inception to delivery, overseeing planning, execution, and quality assurance processes.
• Coordinates with cross-functional teams, including product management, design, and QA, to ensure successful project outcomes.
• Incorporates AI-augmented estimation and planning tools where appropriate, while maintaining accountability for delivery commitments.

Architecture and Design

• Designs and implements scalable, maintainable, and extensible software architectures, considering factors such as performance, security, and scalability.
• Leads architectural discussions and collaborates with senior engineers to drive consensus on design decisions.
• Architects systems with AI integration patterns in mind — designing clean boundaries for AI/ML components, defining contracts between deterministic and probabilistic systems, and planning for model versioning, fallback strategies, and graceful degradation.

Technical Excellence

• Sets high standards for code quality, performance, and maintainability, and ensures adherence to best practices and coding standards.
• Conducts code reviews and provides constructive feedback to ensure the delivery of high-quality software solutions.
• Establishes guardrails and review standards for AI-generated code — ensuring it meets the same quality bar as human-written code, with particular attention to security, edge cases, and maintainability.
• Champions responsible AI practices: output validation, bias awareness, hallucination mitigation, and appropriate human-in-the-loop controls for critical paths.
  
  

Operational Ownership

• Takes end-to-end ownership of the systems the team builds — from deployment through production reliability, performance, and incident response.
• Drives operational maturity: SLOs/SLIs, alerting hygiene, runbook coverage, on-call readiness, and post-incident reviews that produce lasting improvements, not just action items.
• Ensures the team builds with production in mind from day one — observability, graceful degradation, and failure modes are first-class design concerns, not afterthoughts.
• Instils a "you build it, you run it" culture where engineers feel genuine accountability for what they ship and how it behaves under real-world conditions.

Problem-Solving and Decision-Making

• Demonstrates advanced problem-solving skills, leveraging deep technical expertise and critical thinking to address complex technical challenges.
• Makes informed decisions under uncertainty, weighing technical trade-offs and considering long-term implications.
• Knows when AI is the right tool for a problem and when it isn't — resists the pressure to "add AI" where simpler, more deterministic solutions are more reliable and cost-effective.
• Leverages AI-assisted analysis (log analysis, incident correlation, root cause detection) to accelerate debugging and reduce mean time to resolution.

Stakeholder Management and Communication

• Builds strong relationships with stakeholders, including product managers, business leaders, and other engineering teams, to understand requirements and priorities.
• Communicates technical concepts and project status effectively to both technical and non-technical stakeholders, adapting communication style as needed.
• Translates AI capabilities and limitations into business terms — sets realistic expectations around what AI can deliver, timelines for AI-powered features, and the ongoing cost of maintaining AI systems (compute, data quality, model drift).
• Educates stakeholders on the difference between demo-grade AI and production-grade AI, managing enthusiasm without stifling innovation.

Risk Management and Mitigation

• Identifies and mitigates technical risks proactively, anticipating potential issues and implementing contingency plans to minimize impact on project timelines and deliverables.
• Maintains a focus on security, privacy, and compliance requirements, ensuring that systems and processes adhere to relevant standards and regulations.

Continuous Improvement and Innovation

• Drives a culture of continuous improvement and innovation within the engineering team, encouraging experimentation, knowledge sharing, and adoption of new technologies.
• Promotes automation, tooling, and process enhancements to improve efficiency, reliability, and scalability of development workflows.
• Runs structured experiments with AI tools and workflows — measuring real impact on velocity, quality, and developer experience rather than relying on anecdotal evidence.
• Builds internal knowledge sharing around AI use cases, effective patterns, and lessons learned — creating a feedback loop that accelerates the team's AI maturity.
• Actively contributes to agentic AI workflows for automating repetitive engineering tasks (test generation, migration scripts, documentation, incident triage) while maintaining human oversight on critical decisions.
  
  

Leadership and Influence

• Leads by example, demonstrating integrity, accountability, and a commitment to excellence in all aspects of work.
• Inspires and motivates team members to achieve their full potential, fostering a positive and inclusive team culture.
• Positions the team as AI-forward without being AI-reckless — models the discipline of evaluating AI tools critically, adopting what works, and discarding what doesn't.
• Shapes the engineering organization's AI adoption narrative, contributing to company-wide standards, governance frameworks, and best practices for AI in production systems.

Role Specific Technical Competencies:

• Strong technical background in (AWS, Spring Boot, Kotlin, K8s, Microservices, Kafka, Istio, event-driven architecture).
• Exposure to Cloud Technologies, SRE (Site Reliability Engineering), and DevOps concepts with a focus on automation.

Our Ideal Candidate: 

• 10+ years of overall experience with the majority of this experience as an Engineering Lead or Manager.
• Experience working in Fintech / Financial organisations is an added advantage.
• At least 5 years of demonstrable leadership experience, at an individual team level and working across demographically distributed teams and organizational boundaries.
• Good experience in creating actionable strategies, with clear outcomes, and continuous measurement of progress.
• Ability to produce and communicate effective and insightful thought leadership on technical topics.
• Strong technical background in (AWS, Spring Boot, Kotlin, K8s, Microservices, Kafka, Istio, event-driven architecture).
• Exposure to Cloud Technologies, SRE (Site Reliability Engineering), and DevOps concepts with a focus on automation.
• Ability to take ownership and deliver results in a challenging client-facing environment.
• A degree in a relevant area of study would be helpful but not mandatory

As a Technology Intern, you will be part of Trust’s Engineering function and contribute to the design, development, and delivery of technology solutions across the bank. Depending on business needs and your interests, you may be placed in different teams such as Backend Engineering, Platform Delivery, or AI/Data Platforms. Team allocation will be decided closer to the internship start date.

You will work alongside experienced engineers in agile teams, gain exposure to modern tools and technologies, and make a tangible impact while learning how a digital bank operates at scale.

What You Will Do

• Contribute to real product or platform initiatives used by Trust customers and internal teams
• Work in agile, cross‑functional teams to design, build, test, and improve technology solutions
• Learn and apply modern software engineering, platform, and data concepts
• Collaborate with engineers, product owners, designers, and other stakeholders
• Ask questions, experiment, and continuously learn in a supportive environment

Who We’re Looking For

We are looking for interns who are curious, motivated, and excited about building technology.

You should have:

• Pursuing a degree in Computer Science, Information Systems, Engineering, Mathematics, Data, or related fields
• A genuine interest in technology and building software or platforms
• Keen interest in learning AI-native ways of working
• A proactive, curious mindset with a strong desire to learn and grow
• Persistence and a positive attitude when faced with challenges
• Willingness to ask questions and seek feedback
• Ability to work collaboratively with diverse teams
• Interest in FinTech or technology‑driven products
• Fundamental understanding of programming concepts
• Experience with any programming language (e.g. Java, Python, Kotlin, JavaScript, etc.)
• Familiarity with software development, data, or platform concepts is a plus, but not required 

If this sounds interesting to you, don’t wait – apply now and get in touch with our recruiters to find out more.

We hope to be part of your exciting career journey!

As Invest Operations Lead you'd be able to work on and solve many interesting challenges which we are facing, learn new ways of working, and help build delightful high quality products for our customers.  

Job Description 

This role is accountable for designing, building and maintaining the operational infrastructure, controls and processes, enabling the business to effectively offer wealth management solutions in line with the business’ objectives and strategy.

The Role Responsibility: 

• Responsible for defining the operational strategy in line with the business’ objectives. Operational strategy decisions include, but are not limited to:
  • Execution & clearing arrangements infrastructure design
  • Books and records management, reconciliation and accounting
  • Operational fund flows for settlements, withdrawals
  • Vendor analysis, selection and management
• Collaborating with other functions including Legal, Compliance, Finance and Risk to design, build and maintain operational infrastructure, controls and processes to support its operational strategy
• Collaborating with other functions to calibrate necessary frameworks, processes and guardrails to support the business
• Overseeing the day-to-day execution of all areas within the operations function including building and managing an operational team to support the ongoing operations of the business
• Build and maintain effective operational relationships with key vendors
• Responsible for ensuring adherence to all risk, compliance, and regulatory requirements
• Uphold high standards of conduct, governance and operational excellence
• Stay abreast of evolving regulatory requirements and adjust systems and processes accordingly

Role Specific Technical Competencies:

Our Ideal Candidate: 

• Bachelor’s Degree
• 10+ years’ experience, preferably in retail securities brokerage within Singapore
• 5+ years of executive level operational experience
• Sound knowledge of investing propositions, products and operational design decisions
• Hands-on and strategic thinker with excellent interpersonal and leadership skills with proven track record of leading and developing teams in a growing business
• Ability to thrive and lead in a fast-paced, changing environment whilst retaining long-term focus
• Strong prioritisation capability and decision-making skills

As a Business Audit Lead you'd be able to work on and solve many interesting challenges which we are facing, learn new ways of working, and help build delightful high quality products for our customers.  

Job Description 

The successful candidate will assist the Head of Audit in the development and execution of an Audit plan in accordance with the Bank’s Audit Charter to provide assurance that key risks (including emerging risks) pertaining to the audit universe are managed. The role will require diverse and strong skillsets to provide assurance on wide range of areas including governance and risk management, retail products, compliance and operations. It involves undertaking risk assessments, lead and perform internal audit engagements of diverse business units or functions to deliver the audit plan established. The candidate should have a passion for risk management and able to work collaboratively with our audit stakeholders and provide timely and trusted advice in matters relating to risk and controls. As a digital bank and growing venture, the role offers rare opportunity to partner across all business units to define innovative and automated audit approaches.

This is a high-profile role and a unique, challenging opportunity to be part of an end-to-end process to build a strong audit function within the new virtual bank.

The Role Responsibility: 

• Promote collaboration and strong culture across business units to address risk and control issues.
• Act as liaison with Management to ensure full understanding of business strategy, plans, products, performance and risk-related issues at business unit level and communicating these to the relevant Audit Team members via bottom-up continuing risk assessments and dialogue.
• Perform, support or lead where directed, the planning, fieldwork, and reporting of internal audit engagements to deliver agreed assurance objectives to established standards and timelines.
• Actively track and escalate, where appropriate, significant issues and audit findings that remain unresolved.
• To help develop and maintain a robust risk assessment process for documenting and communicating the results of assessment, the consolidated audit plan and strategy for the assigned portfolios and / or business functions.
• Maintain effective relationships with internal stakeholders to provide input / assistance on developing their audit approach as required.
• Provide non-assurance services to business units where required, through active participation on advisory engagements / special projects within the Bank.
• Where undertaking the role of Team Lead, provide performance feedback to team leaders and team members.
• Share knowledge, skills and experience with team members to guide and assist in their development.
• To identify, clearly document and escalate significant risk and control issues.
• To assist the Head of Audit to ensure accurate and timely management reporting to the Audit Committee and Senior Management.

Role Specific Technical Competencies:

Our Ideal Candidate: 

• 8+ years of working experience as professional auditors or business practitioners with core audit skills, particularly Retail Banking / Governance and Risk Management / Compliance (including regulatory and financial crime compliance) / Operational Risk / Finance and Liquidity.
• Proven hands-on usage of data analytics in audit work would be advantageous with specific skills in Basic SQL and / or Python
• Knowledge of key Singapore regulatory requirements and international standards and their impact on the bank and financing business.
• Enjoys working in a dynamic environment, are passionate about risk management and can focus on key issues and the details that come with it.
• Strong understanding of risk and control, including experience in formulating risk and control statements, designing and conducting control testing, documenting audit outcomes and participating in report writing.
• Strong interest and desire to learn about virtual banking and modern technology. Ability to think strategically and participate in building a future dynamic audit model and overall perform role of ‘Change Leader’.
• Demonstrates ability to work independently, seek guidance when needed, ability to multi-task without loss of quality.
• Flexibility to work across different functions and situations, and change priorities at short notice.
• Demonstrate ability to think critically, objectively and “think outside the box” when analyzing issues and recommending / developing solutions.
• Effective written, verbal and presentation communication skills.
• Engagement in professional certification activities, including completion of mandatory Bank-sponsored industry certification where appropriate.
• Professional audit certification preferred (CPA or CIA equivalent), additional specialist qualification would be an advantage (e.g. CAMS, CISA, etc.)