Hire the Best Quantitative Analysts
in Australia

Founder of Arkfield Analytics. I deliver financial modelling, data analytics, and risk consulting to businesses that need serious quantitative work without the cost of a large firm. My background is in actuarial analysis which means I approach every engagement with rigour around probability, uncertainty, and data integrity that goes beyond what a typical analyst or accountant provides. What I work on: - Financial models, cash flow forecasts, scenario and sensitivity analysis - Data analytics, KPI dashboards, and automated monthly reporting - Insurance pricing, risk modelling, and actuarial support - Statistical analysis and business intelligence I work across Excel, Python, and R and deliver clean, well-documented outputs you can actually use and maintain after handover. I take on both fixed-price projects and ongoing retainer engagements.

I have been working in investment banking and private banking for many years. I have strong programming skills in Excel VBA, Matlab, C#, Python and R, and knowledge in Financial Markets and mathematics applied to finance.

I am an advanced quantitative data analyst with 14 years of experience in statistical modeling, marketing analytics, and data visualization. I hold a PhD in Marketing and a Postdoctoral Fellowship in Marketing & AI from the University of Western Australia, specializing in data-driven consumer behavior analysis and predictive modeling. My expertise lies in transforming complex data into actionable insights, optimizing business strategies, and enhancing decision-making through advanced analytics. Key Expertise & Skills: ✔ Marketing Mix Modeling (MMM): Measuring media effectiveness, optimizing ad spend, and ROI analysis ✔ Advanced Statistical Modeling: SPSS, AMOS, Smart-PLS, Structural Equation Modeling (SEM), ANN, Scale Development ✔ Data Analysis & Machine Learning: Python (Pandas, NumPy, SciPy, Statsmodels), R, MATLAB ✔ Data Visualization & Reporting: Tableau, Power BI, Seaborn, Matplotlib ✔ Predictive Analytics & Business Intelligence: Trend Analysis, Forecasting, Customer Segmentation ✔ Digital Marketing Strategy: Campaign Design, Consumer Targeting, Strategic Implementation While I am new to Meta Ads and campaign management, my strong foundation in Marketing Mix Modeling (MMM) and marketing analytics allows me to translate data-driven insights into effective digital strategies. I am passionate about leveraging AI-driven marketing insights and advanced statistical techniques to help businesses optimize their marketing spend and campaign performance. I look forward to collaborating on projects that require high-level statistical expertise, advanced data analysis, and impactful visualization solutions. Let’s connect!

I’m a postgraduate-qualified Data Scientist specializing in predictive analytics for the sports and racing industries. I build high-accuracy machine learning and AI models that drive strategic, data-backed decisions and deliver measurable results. What I Do: Predict sports outcomes and performance metrics using advanced ML techniques Build end-to-end data pipelines with R, Python, and SQL Translate complex data into actionable business insights Develop interactive dashboards using R Shiny, Power BI, and Tableau I've helped clients improve prediction accuracy, optimize resources, and uncover hidden opportunities. With deep domain knowledge and a solutions-first mindset, I tailor every project to your specific goals—not a one-size-fits-all approach. Let’s connect if you need a data scientist who blends technical precision with real-world impact.

I specialize in taking AI projects from concept to production. Whether it's designing RAG pipelines, building ML workflows, or setting up data infrastructure, I focus on solutions that actually solve the problem, not just impress in demos. What I work on: - LLM systems & autonomous agents (LangChain, LangGraph, RAG architectures) - Document intelligence & OCR pipelines - ML model development & fine-tuning (PyTorch, XGBoost) - Data pipelines & backend services (FastAPI, PostgreSQL, MongoDB, Docker) I've worked across financial document processing, quantitative trading research, and geospatial data analysis - processing millions of records and deploying scalable microservices along the way. I'm comfortable working independently or embedded in a team. Strong Python, solid understanding of both the data science side and the engineering side, and I know how to ask the right questions before writing code. Available for freelance work. Drop me a message if you have something in mind.

20 years experience in developing and deploying trading strategies on the Amibroker platform, as well as Python integration to provide automated trading. Advanced knowledge of Amibroker AFL including Custom Backtester, IB TWS Trade Automation, Matrix, Low-Level Graphics, Static Variable Ranking and much more. If you are need assistance in taking your Amibroker or Python project forward, then I can help. I'm happy to consider development projects of any size and complexity. My aim is to help you reach a fruitful conclusion for your project with satisfaction guaranteed. I have a professional background in software development in the financial industry, and I'm a Certified Financial Technician (CFTe) and full time independent trader.