Enable job alerts via email!

Market Risk Quantitative Analytics Consultant (Contract)

ZipRecruiter

London

On-site

GBP 60,000 - 100,000

Full time

30+ days ago

Boost your interview chances

Create a job specific, tailored resume for higher success rate.

An established industry player is seeking a skilled quantitative analyst to join their Quantitative Risk team. This role focuses on market risk modeling specifically for equity derivatives products, requiring strong analytical skills and experience in financial markets. You will act as a subject matter expert, collaborating with various teams to ensure the integrity and accuracy of market risk models. Ideal candidates will have a solid background in market risk methodologies, programming capabilities in SQL and Python, and excellent communication skills. This is a fantastic opportunity to contribute to a dynamic team and make a significant impact in the financial sector.

5-8 years of experience in market risk modeling and quantitative analysis.
Strong programming skills in SQL and Python for data handling.

Implement and maintain market risk models for equity derivatives.
Document model implementation and perform validation tests.

Market Risk Models

Time Series Analysis

VaR Methodologies

SQL

Python

Data Analysis

Communication Skills

Presentation Skills

Technical Documentation

Bachelor's Degree in Finance, Mathematics, or related field

Numerix

Bloomberg

Job Description

Risk Analytics – Equity market risk quantitative analyst

Our investment banking client is seeking an experienced quantitative analyst / risk modeler with 5 - 8 years of financial industry experience to join the Quantitative Risk team. Focus of this position is on Market Risk modeling for equity derivatives products.

Core Responsibilities:

Acting as the SME and liaising with front office, technology, and market risk managers to implement and maintain market risk models. Making key analytical decisions regarding market risk modelling for Equity derivatives positions traded in Europe and Asia.
Assessing appropriateness of the market risk model outputs by performing time series review and stationarity test, Basel traffic light backtesting and VaR breaches explanation, P&L attribution test, pricing model benchmark, and quantification of the materiality of any model limitations (e.g. RNIV).
Documenting model implementation details, tests, and findings for model validation to review, in accordance with Firm’s Model Risk Management policies and framework.

Qualifications:

Strong background in market risk models and methodologies (e.g. time series analysis, VaR methodologies and backtesting), with 5 - 8 years of previous experience in a quantitative role at a financial institution.
Good understanding of equity pricing models and products.
Strong programming skills and data handling skills in SQL and Python (ability to wrangle large data sets, implement statistical tests, and perform data analysis on test results).
Excellent communication and presentation skills (ability to engage in concise, effective discussions).
Excellent written skills (ability to produce well-structured technical model documentation).
Ability to work without significant direct supervision.
Previous experience of regulatory capital model & economic capital model is a plus.
Knowledge of Numerix and/or Bloomberg a plus.

Get your free, confidential resume review.

or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.