A contract or permanent role or a business partnership in which my knowledge of finance, blockchain, and my skills in data analytics and quantitatvie modeling will bring value. I work well in a team and independently.



I am an expert in the fields of
✧  Blockchain and cryptocurrencies
✧  Quantitative modelling and data analytics
✧  Finance, investments, and trading.


(click on any role to expand it)

Principal & FinTech Consultant, ALAT Group Pty Ltd, Sydney · 2023 - Present

• Prepared a tender to develop and operate a private markets trading platform in partnership with ProSoftHub and presented it to the top management of AIMS Financial Group. Negotiated contract terms. Developed business strategy.
• Implemented a Non-Fungible Tokens project for a client.
• Data-driven marketing system improvements for a client.

DeFi & Data Science Lead, Lynxx, Sydney · 2022 - 2023

    At this analytics and high tech consultancy, I have

• Prepared reports for clients with my statistical analyses and visualisations.
• Lead the development of a massively scalable digital assets trading platform.
  - Prepared a business plan and presented it to investors winning funding for the project.
  - Recruited and managed a small technical team.
  - Derived mathematics for trading strategies, communicated requirements to DevOps team, and controlled the implementation.
• Optimised transport networks using simulations for clients' economic benefits.
Technologies used: Linux, Python, Pandas, Seaborn, Matplotlib, Scikit-learn, Git, APIs, JSON, Protobuf, Jira, Confluence, Bitbucket, Cloud platforms.

FinTech Consultant, Alanta Pty Ltd, Sydney · 2016 - 2022

• Designed and implemented a blockchain platform on which world’s first settlement of an agricultural commodity on blockchain was executed with real time payment.
• Managed cryptocurrency portfolios, executed thousands of trades.
• Assessed investments in early stage companies for clients.
• Developed financial models for clients' strategic business development.

Digital Manager, McKinsey & Co, Sydney · 2015 - 2016

    Lead high profile quantitative projects for government and corporate clients:

• Fraud detection by statistical analysis of data for the Australian Department of Health.
• Business analysis and data-driven approach to reduction of diabetes hospital stays.
Technologies used: SAS, SQL, Tableau, Excel, Powerpoint.

Principal, ALAT Group Pty Ltd, Sydney, 2009 - 2014

• Created a quantitative data consultancy business from scratch.
• Acquired new clients, negotiated contracts.
• Recruited and managed tech teams. Lead a team to win a hackathon. Created an MVP for a cryptocurrency risk management startup and pitched it to investors.
• Improved quality of large data sets for financial derivatives trading using quantitative modelling methods.
• Collected and analysed internet latency data for a cloud provider's strategic business decisions.

Principal Researcher, APRA, Sydney · 2007 - 2008

    At the Policy, Research & Statistics Division, I have

• Implemented a high profile research project. Government policy relies on my paper “Investment Performance, Asset Allocation, and Expenses of Superannuation Funds”.
• Recruited, coached and managed junior researchers.
• Performed statistical data analysis of financial data in SAS.
• Served as a committee member for the Brian Gray Scholarship: Insurance risk.

Lecturer, University of Technology Sydney · 2005 - 2006

• Lectured Executive MBA Finance, Investments, and Statistics courses earning excellent student ratings.
• Research grant recipient for a project "Liquidity and Firm Size as Equity Risk Factors".

Senior Quantitative Analyst, Bank of America, New York · 2003 - 2004

    Responsible for all aspects of the quantitative investment process:
    Strategic and tactical asset allocation, security selection, market risk and transaction costs models.

• Created, tested and productionalised a quantitative small cap equity selection model.
• Priced structured products using Monte Carlo simulations in Matlab.
• Served as a member of the investment committee. Coached interns.
Technologies used: Matlab, SAS, Excel/VBA, Bloomberg, FactSet, Barra, Ibbotson, Eviews; regression and time series models.

Quantitative Analyst, Putnam Investments, Boston · 2001 - 2002

• Discovered innovative implied volatility signals to improve stock return forecasts.
• Assisted portfolio managers in using derivatives to optimise risk/return of portfolios.
Technologies used: Excel/VBA, C++, Bloomberg, OptionMetrics, SPSS, Eviews, Reuters, options pricing models; panel regressions and decision trees.

✧  Blockchain & Cryptocurrencies: Solana, Ethereum (geth), Bitcoin & clones; Exchange APIs
✧  Data: Business Intelligence, Data cleaning, data mining, big data
✧  Linux, Bash, Git, SAS, SQL, PostgreSQL, TimeScaleDB, Cloud
✧  Python: Pandas, Scikit-Learn, NumPy, SciPy, SimPy, etc.
✧  Quantitative: Regressions, time series, factor analysis, forecasting, etc.
✧  Visualisation: Seaborn, Matplotlib, Tableau, Grafana
✧  ML & AI: Neural networks, classification, decision trees. LLM APIs; prompt engineering.
✧  Web stack: Nginx, flask, html, css, http, TCP/IP
✧  Finance: Security selection, portfolio optimization. Credit & market risk models. Derivatives pricing. Bloomberg, Factset.



PhD, Finance, The Ohio State University, USA
        Thesis: "Credit Risk and Liquidity of Corporate Bonds"

MA, Mathematical Psychology (Decision Science)
        Thesis: "A Random Walk Model for Binary Decisions"

BS, Physics (Bio-Chemistry minor)

Australian Institute of Company Directors Certificate

Project Management Certificate, Australian Institute of Management

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