Dedicated quantitative analysts for your offshore team.
Offshore quantitative analysts in Chiang Mai and Bangkok, working full time on your product and managed by us. A quantitative analyst builds mathematical models for pricing, risk and forecasting, where the numbers carry real financial exposure.
One agreement and one fixed monthly fee, with the people managed and coached by Azendo in Thailand.
This role is part of a dedicated data science team. It's staff augmentation, fully managed: take one role on its own, or the whole area as one delivery team.
One Quantitative Analyst, assigned to your product and fully managed.
We assign a Quantitative Analyst to your team full time and run everything around them: a service delivery manager who oversees delivery, training and coaching, the office and equipment, and HR and payroll. The price below is for a junior Quantitative Analyst; other levels are priced in your proposal, and how the monthly fee is built explains the arithmetic.
From price
One junior Quantitative Analyst, full time, everything below included. All 27 things included ››
- Quantitative analyst From USD 3,000 per month
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Service
We manage and develop the team
- A service delivery manager who oversees operations and delivery
- A 1:1 with our Head of Delivery every two weeks
- Weekly delivery scoring and monthly capacity reports
- A Talent Success Manager for every team member
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HR
We are the employer
- Recruitment and technical assessment
- Employment contracts
- Salary and payroll
- Tax and social security
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Facilitation
We provide the workplace
- A desk in our office in Chiang Mai or Bangkok
- A Workplace Experience Manager on site
- Team events through the year
- IT support
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Equipment
We supply the tools
- Laptop and hardware
- Software licences
- LinkedIn Learning access
- Device security and management
What a Quantitative Analyst does on a dedicated data science team.
They work with your risk, pricing or finance teams and your model validation function, and document every assumption as they go.
Quantitative Analyst skills and technologies
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Building pricing, risk and forecasting models with documented assumptions.
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Backtesting and sensitivity analysis, so a model's limits are known before it is trusted.
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Producing the documentation that model validation and audit will ask for.
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Stress testing models against historical scenarios and documenting where they break down.
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Maintaining model documentation to the standard your validation function expects.
Quantitative Analyst seniority levels.
Junior to lead. Model risk in this field is commercial risk, so senior analysts usually own the models and mid-level analysts support them. That split between levels is part of how the monthly fee is built.
When your team needs a Quantitative Analyst.
A specialist role, most common in financial services, insurance and logistics. Works alongside a data scientist or analyst within a data science team at Azendo. It fits companies that hire a dedicated development team for pricing, risk or forecasting models with real money at stake.
What we look for in a dedicated Quantitative Analyst.
We look for quants who document assumptions as carefully as they write code. They should backtest thoroughly, stress test against history and be clear about the conditions a model cannot handle.
A remote Quantitative Analyst's first three months on your team.
- Weeks 1 to 2Reviewing your existing models, data and validation requirements.
- Weeks 3 to 6Backtesting and documenting the models in use, and closing the gaps.
- Months 2 to 3Building new models and stress tests within your governance process.
Questions about adding a Quantitative Analyst to your team.
Will your models pass model validation?
They are built with documentation, stated assumptions and backtesting evidence for exactly that. We ask about your validation standard at the start. The model, its tests and its documentation are then shaped for review from the first version. Validation confirms the work, and no rewrite is needed.
Which sectors do you work in?
Wherever pricing, risk or forecasting models carry real financial exposure, such as banking, payments, insurance and retail. The analyst works with your domain experts on the assumptions behind each model, because the mathematics only holds when the business inputs are right. Those assumptions are documented for everyone who relies on the numbers.
Add remote quantitative analysts to your team.
Tell us which models you run or need, the data behind them and the validation standard they must meet. We'll suggest the level of analyst and send the fixed monthly fee. A service delivery manager can go through it with you first.
Tell us what your quantitative analyst would work on.
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