FUN TECH
We combine financial insight, engineering, data, and AI to turn complex challenges into practical tools and dependable systems people can use. 我们融合金融洞察、工程、数据与 AI，把复杂挑战转化为真正可用的工具与可靠系统。
AI matters when it helps people understand complexity, make better decisions, and spend more time on meaningful work. AI 的价值，在于帮助人理解复杂问题、做出更好的决策，把时间投入更有意义的工作。
Fun Tech brings domain knowledge and engineering discipline together—from idea to working system. We move fast, keep people in control, and make the process worth enjoying. Fun Tech 将行业知识与工程实践结合，让想法真正成为可运行的系统。我们快速行动、让人掌握决策，也让创造过程值得享受。
“Solve what matters. Work smarter. Build with joy.” “解决真问题，智能提效，快乐编程。”
We are drawn to the moments where uncertainty becomes a decision—when signals are incomplete, context is scattered, and the consequence is human. 我们关注不确定性真正变成决策的时刻——信号尚不完整、情境仍然分散，而结果最终由人承担。
Connect behaviour, context, and weak signals to recognise change before it becomes loss.连接行为、情境与微弱信号，在变化演变成损失之前识别它。
Turn fragmented information into guidance that is timely, relevant, and clear enough to act on.把碎片化信息转化为及时、相关且足够清晰的行动建议。
Build explanation, authority, and escalation into every critical decision path.把解释、权限与升级机制写进每一条关键决策路径。
We begin with the financial problem, then design the smallest useful system that can create measurable change.我们从真实金融问题出发，再设计能带来可衡量改变的最小可用系统。
How we build我们的能力We connect models with context, workflow, human judgement, and feedback—so AI becomes useful work, not isolated output.我们把模型与情境、流程、人的判断和反馈连接起来，让 AI 成为真正有用的工作，而非孤立输出。
AI agents, predictive signals, explainability, and human judgement designed as one operating loop.把 AI 智能体、预测信号、可解释性与人的判断设计为同一个运行闭环。
Security, governance, resilience, observability, and auditability built in from the first decision.从第一个决策开始，就内建安全、治理、韧性、可观测与可审计能力。
We connect data, models, policy, workflows, and experience across the full value chain.我们贯通数据、模型、制度、流程与体验，覆盖完整价值链。
From problem framing and rapid validation to production architecture and measurable learning.从问题定义、快速验证，到生产架构与可度量学习，形成完整交付链路。
We bring together finance, risk, platforms, pricing, and AI to make financial technology more useful, reliable, and human.我们汇聚金融、风险、平台、定价与 AI 经验，让金融科技更实用、更可靠，也更有人情味。
Java Engineer · Financial Risk SystemsJava 工程师 · 金融风险系统
Six years of financial-technology experience at Citi, contributing to multiple risk-related systems and connecting hands-on engineering with banking and financial-risk knowledge.拥有六年花旗金融科技经验，参与多个风险相关系统建设，将扎实工程能力与银行、金融风险知识相结合。
FinTech & Systems Engineer金融科技与系统工程师
Thirteen years across banking and futures, focused on reliable financial systems that solve complex business challenges through deep industry understanding and practical engineering.拥有 13 年银行与期货行业经验，专注可靠金融系统建设，以深厚行业理解和工程实践解决复杂业务问题。
Engineering Leader · Pricing Technology工程负责人 · 定价技术
Engineering leader at Traveloka, leading accommodation pricing technology across dynamic pricing, AI/ML decision systems, distributed platforms, and scalable solutions.Traveloka 工程负责人，负责住宿定价技术，专注动态定价、AI/ML 决策系统、分布式平台与规模化解决方案。
Team Member团队成员
Team member profile coming soon.团队成员介绍即将更新。
HOW WE BUILD我们的构建方式
Define who acts, on what evidence, under which constraints—before choosing a model.
先定义谁基于什么证据、在什么约束下行动，再选择模型。
Explanation, governance, security, and escalation are product capabilities, not compliance footnotes.
解释、治理、安全和升级机制是产品能力，而不是合规脚注。
AI augments judgement. Clear authority and meaningful human control remain visible at every critical point.
AI 增强判断；在每个关键节点，权限归属与人的有效控制始终清晰可见。
Stay curious, share openly, and make serious engineering an energising team sport.
保持好奇、开放分享，让严肃的工程创造也成为充满能量的团队运动。
AI FOR FINANCE · BUILT WITH JOYAI 驱动金融 · 快乐创造