Quantitative Analyst

HKEX; Greater London; On-site; GBP 70,000 - 120,000; Full time

Job summary

HKEX, London-based, seeks a Quantitative Analyst to validate risk and pricing models within the Financial Risk team. You will contribute to model risk governance and develop benchmark models, with emphasis on independent validation of market, credit, and liquidity models, and on enhancing the model risk framework.

You'll need a quantitative degree, strong Python/SQL skills, and experience with Power BI, plus familiarity with regulatory aspects of model risk management.

Qualifications

• Degree in a quantitative discipline; Masters/PhD would be a plus.
• FRM or similar risk qualification is beneficial (or studying towards it).
• Strong programming with Python and SQL; Power BI experience.

Responsibilities

• Independent validation of risk and pricing models.
• Development of benchmark / challenger models and maintenance of second line risk model library.
• Development and monitoring of model performance tests.
• Manage model risk governance process and associated reporting.
• Author technical validation reports, committee briefing papers and periodic senior management reports.

Skills

Python

SQL

Analytical skills

Communication skills

Regulatory knowledge

Education

Masters or PhD in quantitative discipline

FRM (beneficial / studying towards)

Tools

Power BI

Job description

Quantitative Analyst

Shift Pattern

Standard 40 Hour Week (United Kingdom)

Scheduled Weekly Hours

40

Corporate Grade

D - Assistant Vice President

Reporting Line

(UK Division) Risk - 2nd Line

Location

UK-London

Worker Type

Permanent

Overall Purpose of Role

The Financial Risk team provides second line oversight and challenge on LME Clears financial risks (market, credit, liquidity and model risk) to ensure that these risks are managed in line with risk appetite, policy and regulation.

The purpose of the role is to validate the models and methodologies used to manage financial risk and assist with enhancing and embedding the model risk management framework throughout the organisation.

LME Group is the world center for industrial metals trading and clearing. Most of the world’s non-ferrous metals business is conducted on the LME totaling $15.7 trillion, 185 million lots and 4.1 billion tonnes in 2018. The metals community uses the LME, a member of HKEX Group, as a venue to transfer or take on price risk, as a physical market of last resort and as the provider of transparent global reference prices.

Responsibilities

• Independent validation of a wide range of risk and pricing models.

• Development of benchmark / challenger models and maintenance of second line risk model library.

• Development and monitoring of model performance tests.

• Manage model risk governance process and associated reporting.

• Author technical validation reports, committee briefing papers and periodic senior management reports.

Academic and Professional Qualifications Required

• Degree in a quantitative discipline - Masters or PhD would be a plus.

• Professional risk qualification (or studying towards) would be beneficial (e.g. FRM).

Skills set and Core Competencies Required for Role

• Professional programming experience with Python and SQL, other languages a plus.

• Experience with business intelligence tools (Power BI).

• Strong qualitative and quantitative analytical skills.

• Strong verbal and written communication skills.

• Familiarity and knowledge of the regulatory environment surrounding Model Risk Management and/or Clearing.

The LME is committed to creating a diverse environment and is proud to be an equal opportunity employer. In recruiting for our teams, we welcome the unique contributions that you can bring in terms of education, ethnicity, race, sex, gender identity, expression & reassignment, nation of origin, age, languages spoken, colour, religion, disability, sexual orientation and beliefs. In doing so, we want every LME employee to feel our commitment to showing respect for all and encouraging open collaboration and communication.