Financial systems
Double-entry ledgers, member and loan workflows, payment connectivity, reconciliation, and operational controls.
ABOUT
Building trust into financial technology.
Smart Algos brings financial systems thinking and quantitative research together — with clarity, careful engineering, and evidence-led decisions.
ORIGIN · JANUARY 2025
Two complex disciplines. One shared need for trust.
Institutions need systems they can understand and control. Research needs methods whose assumptions can be examined. We build for both — financial software and systematic research.
SA01 / 25
Quantitative research
Documented assumptions, attention to costs and risk, and a clear line between illustrative results and independently verified evidence.
Focus areas — not a claim of production banking deployments or verified investment performance.
EXECUTIVE SUMMARY
Quantitative research. Systematic trading. Financial systems.
John Wanyaga is a quantitative researcher, systematic trader, and financial systems architect. He serves as a Quantitative Research Consultant at WorldQuant and founded Smart Algo STS.
Work spans FX, futures, ETFs, CFDs, and crypto research, alongside risk and operational technology for banks, SACCOs, and microfinance institutions.
Focus
Alpha research, backtesting and validation, portfolio risk, automated execution; credit contagion modeling, IFRS 9 ECL, payment-switch reconciliation, and ALM.
Technology
Python, C++, SQL, Docker, Kubernetes, Redis, Kafka, PostgreSQL, REST/gRPC.
Principle — make assumptions, methods, and evidence clear enough to examine.
A NOTE ON COMMITMENT
PRINCIPLESTo partners and future collaborators,
Financial systems shape how people save, borrow, and transact. Quantitative models influence how capital is understood. Both deserve clear reasoning and honest limits.
We commit to state assumptions, explain limitations, and separate a design preview from a tested, deployed service — earning confidence through the quality of the work.
John WanyagaFounder, Smart AlgosPride · Consistency · Trust
CAREER INTEREST
People who care about getting the details right.
No open roles today. Express interest via the desk for future opportunities.
QUANTITATIVE RESEARCH
Researchers & model developers
Python research, statistics, backtest methodology, multi-asset markets, and clear risk documentation.
Quant labFINANCIAL SYSTEMS
Analysts & systems consultants
Financial modelling, ledger reconciliation, liquidity analysis, payments architecture, and controls.
Financial systemsSTART A CONVERSATION
Bring a problem worth solving.
Systems architecture or quantitative research — pick a track.