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I would like to talk about situation. When I was an engineering  manager at digital commerce platform org at Amazon, I was handling close to 11 services, and 

as part of the Rolling Stone initiative where Amazon was trying to move all its services away from Oracle, I had four services that I was trying to migrate from Oracle to the databases hosted on Azure. All my fellow colleagues who were owning services of DCP were doing similar exercise. One of the colleague who was owning digital redemption service had to go on maternity leave, and then couple of engineers earmarked to do this migration for digital redemption service wwere transition out of the organization. That is when I offered to help with the migration of the service. 

So I now had 5 services with competing  priorities where I 

had to manage very tight schedule of service migrations. Planning a very ruthless prioritization, figuring out an optimal execution path of a completely unknown service, interacting with the service upstream clients whom i had not worked with prior, working with an amalgam of My team members and the service owner team members were few of the ambiguous paths I navigated to help do on time migration completion of the   service owned by my collegues.

Team is focused in new rolling out RCSA to new Srvice now platform and implementing Shift left statrtegy to eliminate reduntant hops in the implementaions and stabilize the Risk platform

There have been some recent changes in the company’s direction/structure, and I’m looking for an environment that aligns more closely with my professional values and long-term goals.

S（Situation）：在2024年9月底，我所在团队灰度上线了一个重要新功能。上线不久后，我们注意到产品的 NPS 分数出现了明显下滑。我的老板非常担心这个变化是由我们新功能引起的，因此建议我们暂停功能的进一步上线。

T（Task）：考虑到我们灰度期间已经收到不少正向的用户反馈和行为数据，我担心贸然暂停功能会影响节奏，并可能误判问题根源。我希望找出 NPS 下滑的真正原因，并用更稳妥的方式推进问题解决。

A（Action）：我首先分析了 NPS 下滑的时间节点，发现其发生在我们功能上线之前。结合用户评价存在滞后性的特点，我判断两者未必直接相关。随后我深入分析了近期的低分评价和客服 ticket，发现主要问题集中在打印出错、页面崩溃等历史遗留的功能性 bug。
我将这些发现整理成文档分享给老板，建议我们先优先修复这些问题，并继续观察 NPS 变化。同时，我也请他指出是否存在新功能相关的反馈痛点，以便一并跟进优化。我们快速完成了 hotfix，并验证后上线。

R（Result）：两周内，NPS 分数从 xx 回升到 xx（如能填具体更好），我们功能也顺利推进至全量发布，后续使用量增长了 xx%。老板也认可了我们以数据驱动决策的方式，对我在这件事中的判断力和推进力给予了肯定。

Situation: During the first calibration of Non-Maturity Deposit (NMD) models, I was working with a senior colleague and a consultancy firm to implement these models. At that time, market rates were rising, and the consultancy firm suggested calibrating a key parameter, the "beta," to be highly sensitive to market rates. My manager agreed, but I disagreed, as I believed this high sensitivity could lead to inaccurate estimations in future calibrations.

Action: I engaged in discussions with my manager and the consultancy firm to fully understand their reasoning. They argued that a more sensitive beta could improve management of metrics like Delta EVE and Delta NII, which was valid. However, I pointed out that we lacked sufficient evidence to support such a high beta and that it might cause issues in future estimations. To address the disagreement, I conducted a sensitivity analysis, testing the model under various market rate scenarios.

Result: The sensitivity analysis helped us reach a compromise. We agreed to lower the beta, ensuring more stability in the model's performance. This adjustment allowed for a smoother transition of the parameter, ultimately improving the model's reliability while maintaining good risk management practices.