StashAway Reviews

3.6

68% would recommend to a friend

(115 total reviews)

Michele Ferrario

84% approve of CEO

51% positive business outlook

StashAway has an employee rating of 3.6 out of 5 stars, based on 115 company reviews on Glassdoor which indicates that most employees have a good working experience there. The StashAway employee rating is in line with the average (within 1 standard deviation) for employers within the Finance industry (3.7 stars).

Reviews by job title

115 reviews
4.0
19 Apr 2026

Meritocracy-driven company with a startup mindset

Anonymous employee
Recommend
CEO approval
Business outlook

Pros

The company has a startup-like environment where initiative is highly valued. Employees are encouraged to share ideas, and contributions are recognized and appreciated when executed well. But this varies between departments.

Cons

Lower-level employees may sometimes feel overlooked, and there can be a tendency for management discussions to become insular, creating an echo chamber effect.

1.0
22 Mar 2026
Recommend
CEO approval
Business outlook

Pros

-Flexibility. -Opportunities to explore new tools & skillset.

Cons

​Accountability vs. Blame: The management culture currently favors "finger-pointing" over problem-solving, creating a reactive rather than proactive environment. ​Negative Feedback Loops: Team members/cross functional members frequently face internal blame instead of receiving the guidance and resources necessary to succeed. ​Tools & Process Inconsistency: The absence of standardized tools and documentation across departments has created a chaotic "every man for himself" ecosystem, leading to massive confusion. ​Communication Silos: Ineffective communication between teams is a major bottleneck that prevents cohesive project execution.

2.0
7 Mar 2026

Hustle culture

Anonymous employee
Recommend
CEO approval
Business outlook

Pros

Decent pay, 1 day WFO (KL office, might have changed since?), *unlimited PTO (T&Cs applies)

Cons

Onboarding and Psychological Safety Joining the team felt like being thrown into the deep end without a life vest. Because tenured team members were often stretched thin or taking leave in succession, new hires were expected to jump straight into high-stakes tasks with almost no shadowing or training time. The environment lacked psychological safety. Instead of a supportive ramp-up period, there was an immediate, heavy pressure on performance that felt based more on managerial perception than actual data-backed output. The Documentation Struggle Most institutional knowledge was tribal, meaning it lived in people's heads rather than in a shared database. Documentation was either missing entirely or out of date. If the person who last worked on a project was still around, you could prompt them for answers, but otherwise, you were left to infer context from whatever fragmented data you could find. This made it incredibly difficult to work efficiently or scale projects. Visibility Over Results The performance review process was heavily dependent on constant self-promotion. If you didn’t frequently log your wins into the internal tracking system, or if stakeholders didn't proactively celebrate your effort, it was as if the work never happened. This created a culture where being loud about your achievements was often more important than the actual quality of the work. Furthermore, the ability for management to manually adjust AI-generated summaries made the process feel highly subjective. Strategic and Technical Blind Spots There was a noticeable gap in fundamental market knowledge during planning. Results were often compared across different global regions without accounting for basic economic realities like currency strength or local cost-of-living. The company also tended to overstate its market position. While bolstering confidence is important, there was a lack of realism regarding the shifting competitive landscape and the time that had passed since the last major funding milestone. The AI Integration The company was eager to adopt AI but often did so without enough human oversight. Simple AI-generated summaries were sometimes trusted over deep technical research, leading to avoidable errors in judgment. There was also a lack of cultural sensitivity in AI-generated marketing materials (see SG60 video, 1993), which risked negative reception in diverse markets. Finally, the approach to tools was inconsistent, with an odd expectation for employees to navigate their own subscriptions rather than the company providing professional-grade access for work tasks.

Viewing 1 - 3 of 115 Reviews

Glassdoor has 160 StashAway reviews submitted anonymously by StashAway employees. Read employee reviews and ratings on Glassdoor to decide if StashAway is right for you.