Overall employee rating

3.1
Based on 14 reviews
Rating distribution: 0 reviews rated 5 out of 5 stars. 1 reviews rated 4 out of 5 stars. 10 reviews rated 3 out of 5 stars. 3 reviews rated 2 out of 5 stars. 0 reviews rated 1 out of 5 stars.
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Detail Ratings
Work life balance
3.0
Career Growth
3.0
Work flexibility
3.0
Job Security
4.0
Pay and benefits
3.0
Leadership
3.0
Company Culture
3.0
Disclaimer: Reviews on Jobstore are independently submitted by users; we do not guarantee the accuracy or truth of any individual submission. Read more
Software Engineer
4.1
30 April 2026
Supportive Culture, Strong Learning in Data Tech
Pros: I've really enjoyed my time as a Software Engineer in the financial services tech industry here. The company culture is genuinely collaborative, and my colleagues are super supportive. There are plenty of learning opportunities, especially with cutting-edge data analytics projects. It's a stable environment, which is great for career development and long-term planning.
Cons: While there are good career development opportunities, the promotion process can sometimes feel a bit slow or bureaucratic in this large organization. Also, project deadlines in the data analytics space can lead to occasional busy periods, which impacts work-life balance for a short while, but it's usually manageable.
Advice to Management: Continue to streamline the internal promotion processes to recognize high-performing engineers more quickly and explore ways to better manage peak project loads.
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Client Services Manager
2.9
20 April 2026
Solid place for client-facing roles
Pros: Job security is a real plus here, especially as a Client Services Manager. It feels like a stable corporate environment in the credit reporting industry. The company invests in its regional operations, so you don't worry about sudden layoffs too much.
Cons: The work-life balance can be tough sometimes, with clients across different time zones. There's not always clear career growth paths within the client services team, and internal promotions can be slow. It's an onsite role mostly, not much hybrid flexibility.
Advice to Management: Management should really look into better defining career paths for Client Services roles. More flexibility for a hybrid model would also help retain talent, especially in a regional setting.
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Data Analyst
3.1
11 April 2026
Decent Hybrid Model, Needs More Flex
Pros: The hybrid model is solid, letting us work from home 2-3 days a week. This really helps with the Singapore office commute and personal appointments. It's a big plus for data analyst roles, offering some relief from daily office grind.
Cons: True flexible hours are still pretty rare. You're expected to be online during strict core hours daily. This isn't ideal for a global financial services data company, making it hard to adjust your day significantly.
Advice to Management: Offer more genuine flexible hours, not just a hybrid WFH setup. Empowering teams to manage their schedules would boost morale and productivity across different time zones.
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Data Analyst
3.0
4 April 2026
Leadership is Decent, Needs More Consistency
Pros: As a Data Analyst, I've had some good managers here in the Singapore office. They often support learning new data analytics tools. It's a stable corporate environment.
Cons: Not all leadership is consistent, though. Some senior management can be pretty hands-off or micro-managey, which makes it tough for project teams. Decision-making for new financial services products can be slow.
Advice to Management: Try to standardize leadership training across teams. Give managers more autonomy and clearer guidelines on supporting their teams, especially for data analytics projects.
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Data Analyst
3.0
3 April 2026
Job Security Is Solid, But Growth Varies
Pros: Job security is a big pro here, especially for core data roles within the credit reporting industry. You feel pretty safe with a global company like Experian. They don't do massive layoffs often, which is reassuring.
Cons: Career growth can feel slow if you're not actively seeking it out, especially as a Data Analyst. There's not always a clear path for advancement within the Singapore office. Sometimes it feels like you're stuck.
Advice to Management: Management should create more defined career paths for individual contributors and be clearer about internal mobility opportunities. It would really help with retention in data science roles.
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Credit Risk Analyst
3.0
30 March 2026
Growth is slow for career development
Pros: The initial training for new grads is solid, especially in data analytics and credit reporting. You definitely get a good foundation in the financial services industry. Plus, the hybrid work arrangement offers some decent flexibility.
Cons: Career growth feels pretty limited after the first couple of years as a Credit Risk Analyst. There aren't many clear promotion paths internally, and it's tough to get opportunities to move into new roles. It's a big corporate company, so you can get lost in the shuffle.
Advice to Management: Management should really work on creating clearer career progression frameworks for individual contributors, especially for roles like Credit Risk Analyst. More internal mobility options would help keep people engaged and motivated.
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Data Analyst
2.7
26 March 2026
Hybrid Perks, But Workload Can Be Heavy
Pros: I liked the hybrid work setup; it's a real plus. Usually, I was in the Singapore office a couple of times a week. The WFH policy gave me decent flexibility for personal stuff, which is key for a global company like this.
Cons: But honestly, work-life balance for a Data Analyst here can be a struggle. Deadlines in the financial services industry are no joke. I often worked more than standard 40-hour weeks, with lots of late nights, especially when dealing with credit reporting projects.
Advice to Management: Leaders need to actively protect their teams' time. The pressure on data analytics teams is constant, and it impacts work-life balance significantly.
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Data Analyst
3.1
26 February 2026
Career growth is tough here for data professionals
Pros: The pay is actually pretty solid, especially for a Data Analyst in the Singapore office. You get decent benefits too, which is a plus at a big corporate like Experian. It's a stable job in the financial services industry, so there's good job security here.
Cons: Career progression is a real struggle for analytics roles; I felt stuck for ages. There aren't many clear paths to move up unless you jump to management, which isn't always available. Mentorship opportunities are pretty rare, and it's hard to get training for new skills.
Advice to Management: Invest more in developing individual contributor career paths for data professionals, not just management tracks. Offer more structured training and mentorship programs for analytics roles.
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Data Analyst
3.1
17 February 2026
Okay balance, but project deadlines can be tough
Pros: You can find decent work-life balance if you manage your projects well, especially during non-peak times. The hybrid model for data analytics roles in the Singapore office is a real plus. It's nice to have some WFH flexibility built in.
Cons: When project deadlines hit, expect longer hours; sometimes it's 50+ hour weeks. It can be tough to say no to new tasks, especially in a big corporate environment like this. Senior management sometimes pushes aggressive timelines.
Advice to Management: Try to better scope projects and provide more realistic timelines from the start. Support teams when they need to push back on new work to maintain a healthier pace.
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Data Analyst
3.1
15 February 2026
Pay is Okay, Benefits are Standard
Pros: The annual bonus is a nice perk, even if it's not huge. Health insurance and standard benefits are pretty decent here in the Singapore office. As a Data Analyst, the package felt okay for my experience level.
Cons: Base salaries aren't very competitive, especially when you look at other companies in the data analytics industry. Don't expect massive raises each year. It's fine, but not for chasing top dollar in this big corporate environment.
Advice to Management: Think about boosting base salaries for critical roles like Data Analyst positions. It's hard to attract top talent in the data analytics industry when compensation lags behind competitors. More transparency on pay bands would also help.
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