Algorithm Engineer

Design Algorithms That Power Smarter, Faster, Fairer Financial Systems

At BJAK, we’re on a mission to simplify financial services through intelligent, scalable systems that reach millions across Southeast Asia. As an Algorithm Engineer, you’ll design the core logic behind everything from personalization and optimization to fraud detection and pricing models. You’ll be part of a lean, high-impact team where your decisions directly shape real-world outcomes.

This is a remote role based in Singapore, where you will collaborate closely with our headquarters in Malaysia and regional product, data, and engineering teams.

• You’ll design core algorithms that directly influence product intelligence and performance

• Your work will shape critical features that impact millions of users across the region

• You’ll solve complex, high-stakes problems across search, recommendation, pricing, and fraud

• You’ll contribute to scalable systems that run in production—not just on paper

• Design and implement algorithms to solve business-critical problems across personalization, optimization, pricing, and search

• Convert ambiguous product challenges into clear, structured algorithmic solutions

• Analyze trade-offs between accuracy, speed, scalability, and implementation complexity

• Write clean, efficient, production-grade code for algorithm logic

• Collaborate with data scientists and engineers to integrate and validate algorithms

• Continuously refine and improve logic based on testing, feedback, and new data

• Stay on top of relevant research, trends, and techniques in algorithms, statistics, and modeling

• Own outcomes, not just code – you measure success by real-world impact

• Navigate ambiguity like a pro – no detailed spec? You create one

• Love startup speed – quick iterations, shifting priorities, and building fast don’t scare you

• Solve messy problems from first principles – you bring structure where there was none

• Move fast but think deeply – your solutions are pragmatic, not just theoretical

• Embrace feedback, experimentation, and learning as core to how you grow

• Believe that working with great teammates makes you better – and you do the same for them

• Are endlessly curious and never stop leveling up your technical depth

• Bachelor’s or Master’s degree in Computer Science, Mathematics, Engineering, or a related technical field

• 2–4 years of experience in algorithm design, backend engineering, or systems development

• Proficient in Python or JavaScript (Python preferred)

• Strong foundation in algorithms, data structures, complexity analysis, and optimization techniques

• Experience solving real-world problems in recommendation, ranking, search, pricing, or similar domains

• Familiarity with mathematical modeling, statistical analysis, or numerical methods

• Comfortable working with large datasets, edge cases, and production-level constraints

• Must be based in Singapore and open to remote collaboration with regional teams

• Familiarity with optimization solvers, graph algorithms, or constraint programming

• Experience with cloud infrastructure, containerization, or distributed systems

• Startup or high-growth environment experience

• Competitive salary and performance-based bonuses

• Fully remote, flexible work arrangement across Singapore

• High visibility and ownership across projects

• Flat structure where your input is heard and your work makes a difference

• Fast learning curve and exposure to complex algorithmic challenges

• Regional collaboration across Southeast Asia

BJAK is Southeast Asia’s largest digital insurance platform. Headquartered in Malaysia, with operations in Thailand, Taiwan, and Japan, we help millions of users access affordable, transparent financial protection. Our products use AI, automation, and intelligent systems—from recommendation engines and risk scoring to pricing logic—to create fairer, faster, and more accessible financial services.

If you're excited about building real-world algorithms that make finance smarter and more inclusive, we’d love to hear from you.