Product Operations Analyst - Singapore-based at Flagright (W22)
$55K - $70K  •  0.10% - 0.20%
AI-native AML compliance platform for fintechs & banks
SG / MY / Remote (SG; MY)
Full-time
3+ years
About Flagright

Flagright helps businesses stop financial crime with an all-in-one platform for AML compliance & fraud use cases. Our developer-friendly API enables customers to set up their infrastructure in just 4 days. We are a Y Combinator company based in Berlin, Germany, serving customers from 6 continents.

Financial institutions face significant financial crime risks, including money laundering and fraud. These risks can not only result in financial losses and reputational damage for the businesses, but also harm consumers and society as a whole. Consumers may lose their savings if their accounts are used for money laundering purposes, and society may suffer from the negative impacts of terrorist financing and other illegal activities. We believe in enabling businesses with a fast, easy, and affordable security infrastructure.

About the role

Flagright offers exciting career growth opportunities for motivated individuals looking to take the next step in their careers. If you are highly driven, enthusiastic, and seeking an exciting opportunity to join an early-stage startup, we want to hear from you.

🛠 You will

  • Analyze data and gather insights to identify trends, patterns, and opportunities for enhancing functionality and user experience.
  • Participate in customer meetings to identify customer requirements and pain points to scope new features and improvements.
  • Participate in customer channels to announce new features, identify issues, keep customers updated regarding their queries and ensure a positive customer experience
  • Work closely with stakeholders to gather requirements, prioritize feature enhancements, and translate customer needs into actionable product requirements.
  • Assist in creating comprehensive documentation, training materials, and product guides to facilitate seamless onboarding and usage of the product.
  • Conduct periodic check-in meetings with customers and guide them through the product to ensure better understanding and ease of use.
  • Identify process gaps and propose innovative solutions to optimize operational efficiency and effectiveness.
  • Contribute to the overall operational excellence of the product by streamlining workflows and implementing best practices.
  • Collaborate with engineering teams to drive product enhancements, bug fixes, and ensure timely delivery of product updates.
  • Monitor key performance indicators (KPIs) to assess the success and impact of product operations, making data-driven recommendations for improvement.
  • Continuously evaluate user feedback, conduct user research, and incorporate insights to enhance the product's usability and customer satisfaction.

🙌 Your profile

  • High IQ and EQ.
  • Have love for tech and capitalism.
  • Strong taste for aesthetics and attention to detail.
  • High agency and low ego.
  • Based in or willing to relocate to Singapore. Visa sponsorship is supported.
  • 2-5 years of experience as a Product Operations Analyst or a similar role in operations or risk.
  • Excellent written and verbal communication skills in English are essential for effective customer interactions. Your accent is understandable by people of different backgrounds as well as native speakers.
  • Proficiency in using data analysis tools and techniques to identify trends, patterns, and opportunities for optimizing product operations.
  • Familiarity with product lifecycle management principles and methodologies.
  • Experience working with cross-functional teams, such as product management, engineering, marketing, and customer support.
  • Knowledge of product management frameworks and methodologies is desirable.
  • Familiarity with project management tools and software for planning, tracking, and collaborating on projects.
  • Demonstrated ability to work independently, take ownership of tasks, and meet deadlines consistently.
  • Continuous learning mindset, keeping up with industry trends and best practices in product operations and management.
  • Travel flexibility for customer meetings or team gatherings, as needed.

💯 Preferred Qualifications

  • Understanding of anti-fraud, anti-money laundering, or compliance domains.
  • Previous experience in a product-focused role within the fintech industry.
  • Ability to communicate effectively with internal stakeholders and customers to understand their needs and translate them into product requirements.
  • Understanding of financial data security and privacy regulations, such as GDPR or PCI-DSS.
  • Familiarity with risk management principles and methodologies, specifically related to product operations.
  • Understanding of sanctions screening processes and familiarity with industry-standard sanction lists.
  • Knowledge of data privacy regulations and practices related to handling sensitive financial information.
  • Familiarity with customer support systems and workflows to ensure smooth integration of product operations with customer service processes.
  • Experience with implementing and optimizing key performance indicators (KPIs) to measure the success and impact of product operations.
  • Ability to stay updated with industry trends and advancements in fintech, product management, and operational excellence.

🤗 Benefits

  • Get equity from day 1 at a Y Combinator startup.
  • Do something meaningful; help stop human trafficking, money laundering, and terrorism financing.
  • Work alongside a highly competent, top-tier team, including professionals from Y Combinator, ex AWS, Twilio, and Palantir.
  • Great career development opportunities in a fast-growing early-stage startup.
  • Enjoy a low-bureaucracy environment, minimal meetings, and an asynchronous communications culture.
  • Experience an international work culture in a flat organizational structure.

⚠️ Before you apply

We do not recommend you apply if you aren't interested in pushing yourself and growing rapidly. At Flagright, we maintain an extremely high bar for all team members. We conduct performance evaluations focusing on honesty and fairness, not kindness.

Technology

Go, NoSQL Columnar DBs (Cassandra/DynamoDB), Node.js, React, Typescript, Spark, Kafka

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