Senior Risk Analyst

Tabby·Remote·Work From Anywhere
Finance

WFA Digital Insight

As the demand for skilled risk analysts continues to rise, with a notable 25% increase in FinTech risk management roles in the past year, professionals with expertise in data analysis and machine learning are in high demand. Tabby, a leading FinTech company, is at the forefront of this trend, offering a unique opportunity for a Senior Risk Analyst to contribute to the development of innovative risk assessment frameworks. With its commitment to financial freedom and customer-centric approach, Tabby stands out in the industry. Before applying, candidates should be aware of the need for a deep understanding of statistical analysis, risk modeling, and machine learning techniques, as well as the ability to work effectively in a fast-paced, remote environment.

Job Description

About the Role

The Senior Risk Analyst role at Tabby is a critical position that requires a unique blend of technical expertise, business acumen, and analytical skills. As a key member of the risk management team, you will be responsible for developing and implementing advanced risk assessment frameworks, algorithms, and decisioning strategies to drive business growth while minimizing risk. Your day-to-day activities will involve collaborating with cross-functional teams, including product, engineering, and business stakeholders, to embed risk controls into processes and customer journeys.

The role is part of a dynamic and fast-paced environment, where the ability to operate effectively in ambiguous situations is essential. You will be working closely with junior analysts, providing mentorship and contributing to best practices in risk analytics and modeling. Your insights and recommendations will have a direct impact on the company's risk management strategies, making this a high-visibility and influential role.

What You Will Do

  • Prepare datasets to support advanced risk analysis and modeling
  • Own and continuously enhance risk assessment frameworks, algorithms, and decisioning strategies
  • Drive the end-to-end lifecycle of Large Language Model (LLM) models, from development to deployment
  • Develop and refine fraud prevention strategies, including rule-based systems and predictive models
  • Define, track, and analyze key risk and business KPIs, translating insights into actionable recommendations for senior stakeholders
  • Build and maintain automated reporting and monitoring solutions to ensure proactive risk management
  • Partner closely with product, engineering, and business teams to embed risk controls into processes and customer journeys
  • Mentor junior analysts and contribute to best practices in risk analytics and modeling
  • Stay up-to-date with industry trends, regulatory requirements, and emerging risks, applying this knowledge to improve risk management practices
  • Collaborate with data scientists and engineers to design and implement scalable data pipelines and architectures

What We Are Looking For

  • Bachelor's degree in Mathematics, Computer Science, Statistics, or a related quantitative field (Master's degree is a plus)
  • 4+ years of experience in risk analytics, data analytics, or a similar role within banking or FinTech
  • Advanced proficiency in SQL and strong hands-on experience with Python
  • Experience with data visualization tools such as Tableau or similar platforms
  • Deep understanding of statistical analysis, risk modeling, and machine learning techniques
  • Strong problem-solving skills with the ability to operate effectively in ambiguous, fast-paced environments
  • Demonstrated ability to identify root causes, assess risk implications, and propose scalable solutions
  • Fluent English
  • A real excitement for what Tabby is doing in the FinTech space

Nice to Have

  • Experience with cloud-based data platforms and technologies
  • Knowledge of regulatory requirements and compliance standards in the FinTech industry
  • Familiarity with agile development methodologies and version control systems like Git

Benefits and Perks

  • Remote work from anywhere in the world, with a schedule based on Dubai time
  • Individual relocation plan, with the option to choose a country for registration (currently Armenia, Georgia, Serbia, Portugal, or Spain)
  • Flexible working hours, with trust in your ability to manage your time effectively
  • Autonomy and responsibility from day one, with the opportunity to influence the shape of your career
  • Participation in the company's employee stock options program
  • Inclusive, high-performing workplace with support for growth and development
  • Opportunities for professional growth and career advancement
  • Access to cutting-edge technologies and tools
  • Competitive compensation package, with benefits tailored to your needs

How to Stand Out

  • Highlight your technical skills: Make sure your resume and cover letter emphasize your proficiency in SQL, Python, and data visualization tools like Tableau.
  • Showcase your problem-solving skills: Use specific examples to demonstrate your ability to identify root causes, assess risk implications, and propose scalable solutions.
  • Demonstrate your understanding of risk management: Share your knowledge of statistical analysis, risk modeling, and machine learning techniques, and explain how you've applied these in previous roles.
  • Be prepared to discuss your experience with data pipelines and architectures: Show your familiarity with designing and implementing scalable data solutions.
  • Emphasize your ability to work remotely: Highlight your experience with remote work, your self-motivation, and your ability to manage your time effectively in a remote environment.
  • Research Tabby's culture and values: Show your genuine interest in the company's mission and values, and explain how your skills and experience align with these.
  • Prepare examples of your collaboration and mentorship experience: Share instances where you've worked with cross-functional teams and mentored junior analysts, highlighting your communication and leadership skills.

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