A Aness Hussein Ali

Finance · Research · Education

Understand the
world.
Think in markets.

I’m Aness Hussein Ali—a financial engineer, mathematician, market researcher and founder of Stocks To Buy Now AI.

I’ve managed over $4 billion and worked at Goldman Sachs in New York and Bank of America in London.

I’m passionate about statistical arbitrage and making expert financial knowledge accessible, helping people build their understanding of markets and grow wealth thoughtfully.

My faith in God shapes how I approach life and work. I believe small acts of kindness can create a butterfly effect, and that the good we put into the world finds its way back to us.

Portrait of Aness Hussein Ali
Aness Hussein AliFounder · Stocks To Buy Now AI
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Berkeley HaasMaster of Financial Engineering · 2014
Institutional experienceGoldman Sachs & Bank of America¹
Independent researchMacroeconomics, fundamentals & data science

Background, with the sources

Institutional perspective.
Accessible education.

My work connects quantitative finance with a practical question: what is changing in a business, an industry or the wider economy—and how can we study it?

My professional background includes experience at Goldman Sachs and Bank of America across trading, asset management and risk. Today, I bring that perspective to market research tools and investor education.

View professional history on LinkedIn ↗

University of California, Berkeley

Master of Financial Engineering
Walter A. Haas School of Business · May 2014

Explore the official Berkeley MFE program ↗

Education you can explore.

Finance, quantitative methods and technology form the foundation of my research approach.

View my Berkeley diploma

Berkeley diploma awarding Aness Hussein Ali a Master of Financial Engineering on May 16, 2014Diploma supplied by the Berkeley MFE program ↗

Historical securities examinations

FINRA Series 7 · May 2016
FINRA Series 63 · June 2016
FINRA Series 3 · June 2016
FINRA Series 57 · July 2016

Finance meets engineering

The technical work
behind the perspective.

My experience spans portfolio research, derivatives trading, statistical modelling and software engineering—from studying investment risk to building systems that work with large datasets.

Economics

Financial expertise.

I combine experience in trading, asset management and risk analysis with macroeconomic research and quantitative methods. This helps me connect changes in the economy to investment decisions, test trading strategies and assess both potential returns and risk.

Data science

From data to insight.

I turn structured and unstructured data into insights that support business decisions. My work draws on statistics, analytics and machine learning, with practical experience across financial markets and advertising technology—from testing a hypothesis to measuring its impact.

Software development

Research into working tools.

I build the systems that bring research to users: cloud databases on Google Cloud Platform, backends with Django, and web and mobile interfaces with React and Flutter. Scheduled computations and cached model outputs help make complex analytics fast and accessible.

01 / Portfolios

Asset management

  • Risk attribution and liquidity reporting
  • Fundamental and macroeconomic factor models
  • Manager selection and alternative investments
  • Portfolio analysis across market conditions
02 / Markets

Trading & quantitative finance

  • Equity derivatives and foreign exchange trading
  • Electronic market making
  • Signal research and alpha generation
  • Exotic derivative pricing with numerical methods and Monte Carlo simulation
  • Index rebalancing arbitrage and carry strategies
03 / Data at scale

Advertising technology

  • Real-time bidding and auction strategies
  • Systematic machine learning strategies
  • Large-scale data storage and processing
  • Distributed computing with Hadoop and Spark
04 / Research methods

Machine learning & statistics

  • Feature engineering and selection: chi-square, Gini, entropy and Fisher information
  • Statistical significance testing and bootstrapping
  • A/B testing and population sampling
  • Predictive AI and machine learning models
05 / Building systems

Software & infrastructure

  • Python, SQL, C++, JavaScript, HTML and CSS
  • Django, Flutter and React
  • Hadoop, Spark and TensorFlow
  • Google Cloud Platform, Heroku and GitHub
  • Full-stack development, DevOps, Jupyter and PyCharm
  • macOS and Linux
06 / Communication

Languages & interests

  • Public speaking and investor education
  • Native French and Arabic; fluent English; intermediate Spanish
  • Regular reading of the Financial Times
  • Music production with Logic Pro and MIDI

Explore my professional background on LinkedIn ↗. Historical securities examinations are listed in the background section above.

How I think about markets

Start with the world.
Test the investment case.

01 / The macro picture

Understand what is changing.

Study interest rates, inflation, policy and industry trends to place a company’s prospects in context.

02 / The business

Look beneath the headline.

Review earnings, margins, cash flow, valuation and management guidance. Compare the evidence with industry peers.

03 / The decision

Make uncertainty visible.

Test assumptions, consider alternative outcomes and think about sizing and risk. Data supports judgment; it does not remove uncertainty.

See the teaching for yourself

Learn the thinking.
Then form your own view.

Full course library ↗

The platform I founded

Stocks To Buy Now AI

Research, market data and investor education in one place. Explore the tools, the methodology and the people behind the work.