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Quantitative (Quant) Analyst

Quality Dedicated Remote Quantitative (Quant) Analyst Staffing


Everything you need to know about hiring and managing offshore Quantitative (Quant) Analyst professionals for your team.

  • Quant analysts achieve 23% better risk-adjusted returns1
  • Philippines talent costs 60% less than Western cities
  • Experts in Python, R, SQL, Bloomberg Terminal, QuantLib
  • Handle Monte Carlo simulations and stochastic calculus modeling
  • Understand Basel III and MiFID II regulatory frameworks
  • Quant demand grows 67% faster than supply2

Looking to hire a Quantitative (Quant) Analyst? Let's talk!

Look, if your business runs on data and complex financial models, you already know the challenge. Finding someone who can actually build those sophisticated pricing models, run Monte Carlo simulations, and turn mountains of market data into actionable insights? That’s not exactly a simple hiring process. The reality is, quantitative analysts who genuinely understand both the math and the business context are rare. And when you do find them locally, they often come with Silicon Valley price tags that make your CFO nervous.

Why Quant Analytics Actually Matters for Modern Business

Here’s what’s interesting about the current market.According to a June 2025 report by WifiTalents, 67% of hedge funds reported increased returns after adopting quantitative analysis strategies in 2022.1. But it’s not just about having someone who knows Python and statistics. You need analysts who understand how to build models that actually work in production, validate their assumptions, and explain complex findings to people who don’t speak math. Our quantitative analyst teams in the Philippines bring exactly this combination. They’re trained in the same methodologies used by major investment banks and hedge funds, fluent in everything from stochastic calculus to machine learning applications in finance. More importantly, they understand Western business practices and regulatory frameworks like Basel III and MiFID II that govern how these models get deployed.

The Philippines has quietly become a hub for quantitative talent, and here’s why that matters for you. These professionals often hold advanced degrees from top Asian universities known for their rigorous mathematics programs. They work in your time zone overlap (perfect for US markets), communicate complex ideas clearly in English, and cost about 60% less than comparable talent in major Western cities. But cost isn’t even the main advantage. What really sets them apart is their experience working with global clients. They know how American hedge funds think about risk, how UK investment firms structure their portfolios, and what Australian superannuation funds need for compliance reporting.

Building Models That Actually Drive Decisions

Let me paint you a picture of what dedicated quant analysts actually do for businesses like yours. They’re not just running regressions in Excel (though they can certainly do that too). These folks are building sophisticated models using real tools that matter:

  • Python and R for statistical modeling, with libraries like NumPy, Pandas, and scikit-learn for machine learning applications
  • SQL and NoSQL databases for handling massive datasets, plus experience with cloud platforms like AWS and Azure
  • Specialized financial software like Bloomberg Terminal, Reuters Eikon, and QuantLib for derivatives pricing
  • Risk management frameworks including VaR models, stress testing scenarios, and backtesting methodologies
  • Data visualization tools like Tableau and Power BI to make complex findings accessible to stakeholders

But tools are just tools. What makes outsourced quant analysts from KamelBPO different is how they apply them. They understand that a beautifully coded model that nobody trusts is worthless. So they document their work meticulously, validate their assumptions rigorously, and most importantly, they can explain why the model recommends what it recommends. Whether you’re pricing exotic derivatives, optimizing portfolio allocations, or building predictive models for customer behavior, these analysts become genuine extensions of your team.

Making the Numbers Work (In Every Sense)

The financial case for outsourcing quantitative analysis is compelling, especially when you consider that demand for quant skills has grown 67% faster than supply over the past five years. Instead of competing for the same pool of expensive local talent, you’re accessing a dedicated professional who costs roughly what you’d pay for a junior analyst domestically but brings senior-level capabilities. No recruitment fees, no lengthy hiring processes, no worrying about retention bonuses. Just consistent, high-quality analytical support from someone who becomes deeply familiar with your data, your models, and your business objectives.

Getting started with outsourced quant analysts through KamelBPO is refreshingly straightforward. We handle all the infrastructure, management, and support systems. Your analyst comes equipped with the necessary software licenses, secure data handling protocols, and most importantly, the expertise to hit the ground running. Whether you need someone to build credit risk models, develop algorithmic trading strategies, or create predictive analytics for business intelligence, you get a dedicated professional who’s there every day, learning your business and improving your analytical capabilities. It’s like having your own quant team, except without the overhead, the management complexity, or the astronomical costs. And honestly? In today’s data-driven market, having that kind of analytical firepower isn’t just smart. It’s essential.


All inclusive monthly cost with no hidden feesMORE DETAILS


FAQs for Quantitative (Quant) Analyst

  • Filipino Quantitative Analysts are proficient in Python, R, MATLAB, and C++ for financial modeling and algorithmic development. They're experienced with libraries like NumPy, Pandas, SciPy for data analysis, and QuantLib for derivatives pricing, ensuring they can handle complex quantitative research and model implementation.

  • Yes, outsourced Quantitative Analysts from the Philippines have extensive experience developing proprietary trading algorithms, risk models, and portfolio optimization strategies. They understand stochastic calculus, time series analysis, and machine learning applications in finance, enabling them to create sophisticated models tailored to specific trading strategies.

  • Philippine-based Quant Analysts are skilled in extracting and analyzing data from Bloomberg Terminal, Refinitiv Eikon, WRDS, CRSP, and Compustat databases. She can also work with alternative data sources like Quandl and handle real-time market data feeds through APIs for backtesting and live trading systems.

  • Absolutely. Remote Quantitative Analysts from the Philippines have strong foundations in Black-Scholes, Monte Carlo simulations, binomial trees, and exotic options pricing. He typically holds advanced degrees in mathematics, physics, or financial engineering and can implement complex derivatives valuation models for various asset classes.

  • Offshore Quantitative Analysts implement comprehensive risk frameworks including VaR, CVaR, stress testing, and scenario analysis. They're familiar with Basel III requirements, FRTB standards, and can develop both market risk and credit risk models using historical simulation and parametric approaches.

  • Yes, Filipino Quantitative Analysts can align their schedules with NYSE trading hours (9:30 PM to 4:00 AM Philippine time). Many have experience supporting hedge funds and prop trading firms in real-time, monitoring models, adjusting parameters, and providing intraday analysis during US market hours.

  • Outsourced Quant Analysts apply sophisticated ML techniques including LSTM networks for price prediction, random forests for feature selection, and reinforcement learning for portfolio optimization. She's experienced with TensorFlow, PyTorch, and scikit-learn, implementing these algorithms for alpha generation and systematic trading strategies.

  • Many Philippines-based Quantitative Analysts hold CFA, FRM, or CQF certifications, demonstrating their commitment to professional excellence. They also often have master's degrees or PhDs in quantitative fields from reputable universities, combining theoretical knowledge with practical financial markets experience.

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