---
title: "Hire Risk Metrics Specialists from Chiang Mai, Thailand"
description: "Risk metrics specialists compare VaR with expected shortfall and backtest the results. Add a dedicated quant for your risk team, managed from Thailand."
url: "https://azendo.co/skills/risk-metrics/"
---

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3. Risk metrics

# Risk metrics specialists for your dedicated team.

Risk metrics quantify exposure to loss: value at risk, expected shortfall, volatility, drawdown and sensitivities. Each answers a specific question and each has known blind spots that matter when they are used as a single summary.

## Where risk metrics fits in a long-term product team.

Value at risk answers a narrow question, a loss threshold at a confidence level, and says nothing about what happens beyond it. Two portfolios with identical VaR can have entirely different behaviour in the tail, which is why expected shortfall, averaging losses beyond the threshold, has become the preferred measure where the tail is what matters.

Every metric rests on a distributional assumption. Normal-distribution VaR understates tail risk substantially because real returns have fatter tails, and historical simulation only contains the crises present in its window. A number quoted without its method is not comparable to anything.

## What your dedicated team does with risk metrics.

Backtesting is what separates a risk system from a risk report. Counting how often actual losses exceeded the stated threshold, and comparing that to what the confidence level predicted, is the only evidence the model works.

Running that continuously is ongoing work, held within an agreed committed monthly capacity.

## Common risk metrics use cases.

* Tail behaviour measured Expected shortfall alongside VaR, because the threshold alone hides the tail.
* Method quoted with the number Assumptions stated, so figures are comparable across time and desks.
* Backtesting as routine Exceedance counts tracked continuously, which is the only evidence the model holds.

## Adding risk metrics skills to your team.

Risk analytics sits with a [dedicated data science team](https://azendo.co/services/dedicated-data-science-team/), with backtesting run continuously.

You can add risk metrics capacity as one dedicated specialist or as part of a wider remote team, with the people managed by us from our offices in Thailand. Companies [hire dedicated developers](https://azendo.co/hire-a-dedicated-development-team-in-thailand/) this way under one agreement and one monthly fee.

## Roles that use risk metrics

* [Quantitative Analyst Data science](https://azendo.co/services/dedicated-data-science-team/quantitative-analyst/)

## Service areas that use risk metrics

* [Data science](https://azendo.co/services/dedicated-data-science-team/)

Capacity is agreed across your whole team, with one monthly fee, not per skill.

## Related in analytics and bi

* [Tableau, a skill in our teams](https://azendo.co/skills/tableau/)
* [semantic layers, a skill in our teams](https://azendo.co/skills/semantic-layers/)
* [A/B testing, a skill in our teams](https://azendo.co/skills/a-b-testing/)
* [experimentation design, a skill in our teams](https://azendo.co/skills/experimentation-design/)
* [causal inference, a skill in our teams](https://azendo.co/skills/causal-inference/)
* [cohort analysis, a skill in our teams](https://azendo.co/skills/cohort-analysis/)
* [segmentation, a skill in our teams](https://azendo.co/skills/segmentation/)
* [metric definition, a skill in our teams](https://azendo.co/skills/metric-definition/)

## Tell us what you need risk metrics for.

A service delivery manager will reply with the specialists we'd suggest, the monthly capacity and what the first month looks like.

[Browse all skills](https://azendo.co/skills/)