Quantitative Analyst, Risk

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The Investment Risk team at Numeric acts as the ‘second line of defense’ for the investment process at Numeric, which systematically manages assets for both equity and fixed income strategies. With exploding volumes of data, increased customization of client portfolios, and ever-increasing nuance and complexity in how Numeric is seeking to maximize expected return and minimize expected risk, the need to scale our approach to better identify and prioritize risks that warrant close human attention has never been more apparent.

In order to provide the highest value to Numeric, the Investment Risk team engages in the following activities:

• Independent management and monitoring of a (growing) suite of proprietary analytics, designed for the purpose of statistically analyzing various inputs to the Numeric process and the resulting outputs, on a daily basis.
• Internal sharing of tooling, ideas and best practices with other Investment Risk engines in the broader Man Group, including AHL, GLG, and MSL.
• Creatively designing methods to assess, and hypotheses surrounding, the potential impact of macroeconomic shocks to client portfolios, and working closely with researchers and portfolios managers to both interpret the resulting diagnostics, and to come up with ideas to make them stronger.
• Frequent meetings with the Investment Committee, regular meetings with the various investment teams, and discourse with Portfolio Managers and Researchers.

We are looking for a person with a strong computational/statistical modeling mindset, a knack for pattern recognition, and a formidable analytical toolkit to join the Numeric Investment Risk team in Boston.

The role will report to the Numeric Head of Investment Risk.

In this role, you will:

• Design reports, dashboards, databases and programmatic workflows that will augment our ability to identify anomalous market behavior, unexpected patterns in portfolio positioning, and also opportunities for better risk-taking.
• Curate relevant, timely, novel content on a periodic basis to share with the Numeric Investment Teams, for the purpose of illuminating aspects of market dynamics, portfolio positioning, or approaches to risk modelling
• Produce bespoke and adhoc reports and analysis upon request – and then subsequently automate and schedule these to the extent possible.
• Interface with a central technology team to both represent the needs of Numeric, and also to collaborate on larger systems efforts.
• Interact with a wide variety of internal stakeholders.

We will be excited to hear from people with experience with the capability to do the following, day in and day out:

• Apply computer science principles and linear algebra to solve vexing mathematical / financial puzzles.
• Write algorithms and design databases, in order to automate complex workflows that will ultimately augment human decision-making.
• Master the mechanics of various financial instruments and push the envelope on how to apply mathematical techniques to build portfolios that are robust to various events - both expected and unexpected.
• Bring a statistical mindset to ‘think differently’ about the types of risk metrics we monitor, how to compute them, how to store them, and how to harvest the most insight from them.

The following attributes area must:

Interest in the ‘why’ behind the investment strategies.

• Strong communication skills – with both humans and machines.
• Ability to decompose large problems into multiple smaller ones.
• Excellent grasp of econometrics.
• Growth mindset.

Seniority level

• Seniority levelAssociate

Employment type

• Employment typeFull-time

Job function

• Job functionOther

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