fredrick otieno

I am an Actuarial Science graduate focused on using quantitative analysis to improve financial security and economic inclusion for underserved populations. I combine strong statistical skills with domain knowledge in pensions and financial services to design practical, compliant solutions.

In internship roles I implemented enterprise systems, supported UAT, and led data validation and reconciliation to improve financial compliance and reporting accuracy. I have conducted investment risk assessments, prepared regulatory submissions, and developed frameworks aligned with Retirement Benefits Authority (RBA) requirements.

I excel at translating complex data into structured recommendations and clear presentations for stakeholders, using tools such as Python, SQL, Power BI, and advanced Excel. My work emphasizes accuracy, transparency, and measurable impact for clients and beneficiaries.

I am a collaborative self-starter comfortable in multicultural teams, adaptable to dynamic environments, and committed to delivering scalable, data-driven solutions that support policy compliance and client decision-making.