Algorithm Engineer (Remote)

Working arrangement: Germany (Remote - work from anywhere in the Germany)Design Algorithms That Power Smarter, Faster, Fairer Financial SystemsAt 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 Germany, collaborating closely with our HQ in Malaysia and regional product, data, and engineering teams.Why This Role MattersYou’ll design core algorithms that directly influence product intelligence and performanceYour work will shape critical features that impact millions of users across the regionYou’ll solve complex, high-stakes problems across search, recommendation, pricing, and fraudYou’ll contribute to scalable systems that run in production - not just on paperWhat You’ll DoDesign and implement algorithms to solve business-critical problems across personalization, optimization, pricing, and searchConvert ambiguous product challenges into clear, structured algorithmic solutionsAnalyze trade-offs between accuracy, speed, scalability, and implementation complexityWrite clean, efficient, production-grade code for algorithm logicCollaborate with data scientists and engineers to integrate and validate algorithmsContinuously refine and improve logic based on testing, feedback, and new dataStay on top of relevant research, trends, and techniques in algorithms, statistics, and modelingYou’ll Thrive Here If You...Own outcomes, not just code - you measure success by real-world impactNavigate ambiguity like a pro - no detailed spec? You create oneLove startup speed - quick iterations, shifting priorities, and building fast don't scare youSolve messy problems from first principles - you bring structure where there was noneMove fast but think deeply - your solutions are pragmatic, not just theoreticalEmbrace feedback, experimentation, and learning as core to how you growBelieve that working with great teammates makes you better - and you do the same for themAre endlessly curious and never stop leveling up your technical depthRequirementsBachelor’s or Master’s degree in Computer Science, Mathematics, Engineering, or a related technical field2 - 4 years of experience in algorithm design, backend engineering, or systems developmentProficient in Python, or Javascipt (Python preferred)Strong foundation in algorithms, data structures, complexity analysis, and optimization techniquesExperience solving real-world problems in recommendation, ranking, search, pricing, or similar domainsFamiliarity with mathematical modeling, statistical analysis, or numerical methodsComfortable working with large datasets, edge cases, and production-level constraintsMust be based in the Germany and open to remote collaboration with regional teamsNice to HaveBackground in ML, data mining, or statistical modelingFamiliarity with optimization solvers, graph algorithms, or constraint programmingExperience with cloud infrastructure, containerization, or distributed systemsStartup or high-growth environment experienceWhat You’ll GetCompetitive salary and performance-based bonusesFully remote, flexible work arrangement across GermanyHigh visibility and ownership across projectsFlat structure where your input is heard and your work makes a differenceFast learning curve and exposure to complex algorithmic challengesRegional collaboration across Southeast AsiaAbout BJAKBJAK 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.

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