Tookitaki is transforming financial services by building a robust trust layer that focuses on two crucial pillars: preventing fraud to build consumer trust and combating money laundering to secure institutional trust. Our trust layer leverages collaborative intelligence and a federated AI approach, delivering powerful, AI-driven solutions for real-time fraud detection and AML (Anti-Money Laundering) compliance.
How We Build Trust: Our Unique Value Propositions
AFC Ecosystem – Community-Driven Financial Crime Protection The Anti-Financial Crime (AFC) Ecosystem is a community-driven platform that continuously updates financial crime patterns with real-time intelligence from industry experts. This enables our clients to stay ahead of the latest money laundering and fraud tactics.
FinCense – End-to-End Compliance Platform
Our FinCense platform is a comprehensive compliance solution that covers all aspects of AML and fraud prevention—from name screening and customer due diligence (CDD) to transaction monitoring and fraud detection. This ensures financial institutions not only meet regulatory requirements but also mitigate risks of non-compliance, providing the peace of mind they need as they scale.
Industry Recognition and Global Impact
Tookitaki’s innovative approach has been recognized by some of the leading financial entities in Asia, including Tencent, GXS, Maya, Aeon, UOB, and Fubon. We have also earned accolades from key industry bodies such as FATF and received prestigious awards like the World Economic Forum Technology Pioneer, Forbes Asia 100 to Watch, and Chartis RiskTech100.
Serving some of the world’s most prominent banks and fintech companies, Tookitaki is continuously redefining the standards of financial crime detection and prevention, creating a safer and more trustworthy financial ecosystem for everyone.
Rating Reviews
Rating is calculated based on
3
reviews and is evolving.
Pros: As a Software Engineer in the Singapore office, there's decent hybrid work flexibility, especially after the initial onboarding period. For some technical roles, you can WFH a few days a week, which helps avoid the commute. It's good for personal appointments and managing your own schedule a bit.
Cons: However, this isn't consistent across all teams. If you're on a project with strict client deadlines, common in financial crime AI solutions, you might be expected in the office more often. It can make planning tough sometimes, and the startup environment means policies can shift.
Advice to Management: Try to standardize the hybrid work policy more across all departments, even for teams working on critical financial crime projects. Clearer and more consistent expectations regarding remote options would help everyone plan better.
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Pros: As a Data Scientist here, you get decent health insurance, which is a big plus. The company does offer some stock options too, common for a FinTech startup. It's a solid base salary for junior roles.
Cons: The overall pay, especially for senior machine learning engineers, isn't always competitive with larger companies in Singapore. There aren't many extra perks or robust retirement plans compared to what big tech offers. Don't expect huge bonuses.
Advice to Management: Re-evaluate compensation bands for experienced roles to stay competitive in the financial crime compliance industry. Look into enhancing non-monetary benefits too.
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Pros: I've really enjoyed the challenging work on financial crime detection using our AI solutions. It's a pretty open environment for a Data Scientist to try new things. My team in the Singapore office was awesome, great peer support.
Cons: Leadership often changes direction on projects, which can be tough. There's not a lot of clear feedback on how to grow your career here. Sometimes it feels like they're still figuring things out.
Advice to Management: Focus on clearer, more consistent communication about strategic direction. Develop more defined career development plans for technical roles like Data Scientists, especially for those working on our core AI solutions.
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What is the typical working culture like at Tookitaki, especially for software engineers in Singapore?
Tookitaki fosters a collaborative and fast-paced environment, common in the tech industry. Engineers often find opportunities to work on challenging projects with a strong emphasis on learning and skill development.
What is Tookitaki's policy on remote work for software engineers in Singapore?
Tookitaki offers a hybrid work model, allowing software engineers in Singapore to work from home a few days a week. This provides flexibility while maintaining in-person collaboration essential for our fast-paced tech environment.
What is the typical work-life balance like for software engineers at Tookitaki, especially in their Singapore office?
Tookitaki generally promotes a good work-life balance, with reasonable working hours for software engineering roles in Singapore. While project deadlines can sometimes require extra effort, the company culture encourages employees to manage their time effectively and discourages consistent overwork.
