Rohail Hanif

Rohail Hanif:

Data Scientist and Reporting Manager with extensive expertise in statistical modeling and risk assessment, specializing in the Insurance industry. I hold an MSc in Financial Engineering from Poznan University of Economics & Business and am a certified Chartered Accountant and Quantitative Analyst. Boasts a proven track record in implementing IFRS 17 compliance, optimizing financial strategies, and driving data-driven decision-making processes.

With over a decade of experience across leading organizations such as Al Rajhi Takaful & Tawuniya (in Saudi Arabia), ERGO Group A.G. & Munich Re (in Germany), I specialize in actuarial analysis, financial forecasting, and advanced data manipulation using Python, SQL, and R.

I gained experience collaborating with big firms from the audit and consulting (e.g., KPMG, Deloitte, PwC, and BCG). I excel in cross-functional collaboration and strategic leadership. My accomplishments include developing corporate training programs, pioneering real-time analytics systems, and optimizing financial reporting frameworks. Passionate about mentoring teams and leveraging cutting-edge technologies to solve business challenges.

1. What was the most breakthrough moment in your career?

The most pivotal moment in my career was leading the end-to-end implementation of IFRS 17 at Al Rajhi Takaful. Transitioning from actuarial consulting to spearheading this complex regulatory overhaul required merging my expertise in data science, actuarial analysis, and financial reporting.

2. What has been your biggest professional success?

At Al Rajhi Takaful, I led the end-to-end IFRS 17 implementation, designing automated reporting systems that reduced errors and processing time. At ERGO Group, I developed a real-time actuarial analytics platform that improved claims forecasting accuracy, optimizing reserves and pricing strategies. These achievements highlight my ability to bridge data science, actuarial expertise, and financial strategy, transforming complex challenges into measurable business value while positioning myself as a trusted leader in insurance analytics and regulatory innovation.

3. If you could go back to the starting point of your career, but with all the knowledge and experience you’ve gained, what would you do differently?

Reflecting on my career journey, I’d prioritize three key changes early on:

• Master Python/R sooner – I’d dedicate more time early in my accounting days to advanced analytics, accelerating my transition into data science.
• Seek cross-functional projects earlier – At ERGO, I saw how actuarial-tech collaboration drives innovation; I’d proactively pursue such opportunities from day one.
• Focus on storytelling with data – My IFRS 17 experience taught me that technical solutions only create impact when paired with clear executive communication.

I’d also worry less about perfection in early roles, knowing now that iterative progress often yields better long-term results than delayed “perfect” solutions.

4. What’s your recipe for success? How to achieve it? What to focus on? What to avoid? What competencies gained from your studies at PUEB turned out to be the most important?

My Recipe for Success: Focus, Adaptability & Strategic Execution:

• Core Principles:
  • Master fundamentals first, then specialize.
  • Solve real business problems—at ERGO, the analytics platform succeeded because it addressed clear pain points.
  • Communicate complex ideas simply—critical when bridging actuarial and executive teams.
• What to Focus On:
  • Technical agility: R programming proficiency from PUEB enabled my data science pivot.
  • Regulatory foresight: PUEB’s financial engineering curriculum helped me anticipate trends.
  • Cross-functional leadership (gained by managing Al Rajhi’s compliance project).
• What to Avoid:
  • Siloed thinking—innovation happens at the intersection of fields.
  • Analysis paralysis—iterative progress beats delayed perfection (see my phased IFRS rollout).
  • Neglecting soft skills—persuading stakeholders is as vital as technical rigor.
• PUEB’s Lasting Value:
  • Courses in derivatives pricing and risk modeling became the bedrock for my actuarial work. Most importantly, the program taught me how to learn—a skill that let me transition from accounting to AI-driven analytics seamlessly.
  • Success = (Technical Depth × Business Acumen) + Relentless Execution.

5. What advice would you give current students who are at the beginning of their careers?

Advice for Career Beginners: Forge Your Unique Path

• Beyond textbooks, explore adjacent fields. My actuarial work improved when I studied behavioral economics—unexpected connections spark innovation.
• Deep expertise gains respect, but broad awareness lets you collaborate meaningfully across teams.
• Document achievements quantitatively (e.g., “optimized X process saving Y hours”). I regretted not tracking early wins—they’re crucial for promotions/raises.
• Build relationships before you need them.
• Early on, I hesitated to voice ideas. Later, I learned that fresh perspectives are valuable—even (especially!) as a newcomer.
• Regularly “test” new skills to identify what energizes you before committing to roles.