DESIGN CONCEPTSystem Architecture
How I Would Design a Financial Dashboard for a SACCO
A theoretical walkthrough of extracting fragmented reporting and consolidating loan portfolios into a low-latency management dashboard.
READ ARTICLE →FINANCIAL DATA & SYSTEMS DEVELOPERFinance · Data · Software · Risk
Dirk Williems Araka
I design and build intelligent systems that turn complex financial, analytical and business problems into usable software.
Actuarial science taught me to model uncertainty. Software engineering lets me build systems around it.
I work at the intersection of quantitative analysis, financial technology, and software development — translating complex financial and risk logic into automated, production-grade systems.
CAPABILITIES
I translate financial logic, risk parameters, and operational needs into automated systems.
Financial Intelligence
Financial analytics, modelling and decision-support systems.
Python · PostgreSQL · ReactBusiness Intelligence
Dashboards, KPIs, reporting and management intelligence.
Next.js · Data Visualization · APIsAutomation
Automated workflows, reporting pipelines and data processes.
Python · ETL · Node.jsRisk & Analytics
Statistical modelling, risk analysis and quantitative research.
Python · R · Statistical ModelsFinancial Systems
Custom software for financial and operational workflows.
React · Node.js · PostgreSQLQuantitative Systems
Algorithmic execution, market intelligence, and quantitative research platforms.
Python · MQL5 · Node.jsENGINEERING
How I Build Systems
01 — UNDERSTAND
Understand the business problem, operational context, and data sources before writing a single line of code.
02 — MODEL
Translate the business problem into rigorous financial, statistical, and logical data models.
03 — ARCHITECT
Design the full system architecture, establishing secure data pipelines, analytics layers, and technical structure.
04 — BUILD
Implement the software, ensuring low-latency data processing and clean, accessible client interfaces.
05 — VALIDATE
Stress-test assumptions, outputs, edge cases, and failure modes to ensure data integrity and system reliability.
06 — IMPROVE
Iterate the system based on real-world evidence, user feedback, and changing business requirements.
IDEAS IN PRACTICE
Systems and concepts built around financial intelligence, risk research, and quantitative problem solving.
01BUILT
Quantitative SystemsStochastic Vanguard
Standard broker interfaces restrict the ability to execute advanced statistical methodologies and monitor adaptive market regimes without severe latency or execution constraints.
Python · Node.js · MQL5 · React
View Case Study →02COMPLETED
Business SystemsKenya Orient Life Assurance
Complex actuarial models and mathematically heavy credibility theory are inherently difficult to communicate to non-technical stakeholders, creating a disconnect between product design and market reception.
Risk Assessment · Product Strategy · Actuarial Science · Financial Operations
View Case Study →03CONCEPT
Financial SystemsSACCO Financial Intelligence Platform
Many SACCOs rely on fragmented spreadsheet-based reporting, making it difficult for management to gain a real-time, unified view of loan portfolios, member intelligence, and risk indicators.
Next.js · PostgreSQL · Financial APIs · Data Visualization
View Case Study →04CONCEPT
Data & AnalyticsSME Financial Intelligence
SME management often answers important questions too late because financial data (sales, expenses, receivables) is scattered across records and only consolidated during formal reporting cycles.
Data Pipelines · Financial Analytics · ETL Architecture · System Design
View Case Study →TECHNOLOGY
Engineering Stack
Languages
Python, TypeScript, SQL
Data & Analytics
Pandas, NumPy, Data Visualization
Engineering
APIs, Node.js, PostgreSQL, React
Financial / Quantitative
Financial modeling, Risk analysis, Stochastic methods, MQL5
INSIGHTS
Research, system design, and technical thinking.
BUSINESS INTELLIGENCEAnalytics
Financial KPIs Every Growing Business Should Track
Moving beyond basic profit and loss to monitor operational health, cash flow velocity, and capital risk.
READ ARTICLE →AUTOMATIONData Pipelines
From Excel Reporting to Automated Financial Intelligence
The technical and operational shift required to move a finance team from manual spreadsheets to secure, scheduled ETL pipelines.
READ ARTICLE →FOUNDATION
Education & Professional Background
Education
BSc Actuarial Science
Chuka University · 2022 – 2026
Probability theory, statistical inference, financial mathematics, risk theory, life contingencies, and stochastic processes.
Industry Experience
Underwriter — Kenya Orient Insurance
Industrial Attachment · 2025
Risk assessment, underwriting operations, actuarial model translation, and product strategy communication.
Certifications
Corporate Finance Institute
Corporate Finance Foundations, Financial Modeling & Forecasting, Excel for Finance Professionals.
Software Engineering
Full-Stack Financial Systems
Python, TypeScript, React/Next.js, Node.js, PostgreSQL, MQL5 — applied to financial data systems, analytics platforms, and quantitative tools.
GET IN TOUCH
Start a Project
Have a complex system, data or automation problem? Let's turn the problem into a working system.