.. develop/conduct FEA simulations to verify appropriateness of test methods. Prepare technical CAE reports of results. Desired Skills Excellent understanding of solid mechanics and structural finite element analysis (FEA) Hands on Experience with Altair Hyperworks/ Hypermesh, Optinstruct & Radioss / Nastran .. read more
Role – Algorithmic Trading – Risk & Model Validation
Client – Global Investment Bank
Years of Experience – 2- 5 years
Location – Mumbai.
Our client, a global Investment Bank, is looking for exceptional candidates to join as an Senior Analyst / Associate to be part of its Algorithmic Trading Model Validation team in Mumbai. This role is part of its Model Risk Management group, which is part of the core Risk Management Division , which encompasses the firm's comprehensive risk framework responsible for determining and managing the overall risk appetite for the firm. The division is responsible for effectively managing the firm's risk-return profile which ensures the efficient deployment of the firm's capital.
Model Risk Management group’s key responsibilities are:
(1) Executing and maintaining an effective Model Risk management framework.
(2) Producing a consolidated view of Model Risk for comparison with the Model Risk Appetite.
(3) Independently validating the integrity and comprehensiveness of the Models in the Firm.
On account of the extension of the scope of the Model Risk Management process, the Firm is seeking to recruit a member of the newly established Algorithmic Trading Model Validation Group. The successful candidate will have a strong quantitative background and will be responsible for the independent validation of the firm’s Algorithmic Trading Models across a wide variety of asset classes / business lines.
Role & Responsibilities:
Independent Validation of Algorithmic Trading Models, including
Assessment of conceptual soundness of Algorithmic Trading Models, including the integrity and suitability of Model parameters.
Implementation Testing.
Model Risk Analysis – to identify, analyse and quantify Model Risk, which involves independent coding/development of the algorithmic trading strategy.
Development and Execution of Model Performance Monitoring to ensure that Algorithmic Trading Models are performing as intended.
Design and implementation of Model Risk Control processes for Algorithmic Trading Models.
Preparation of model review documentation.
Qualifications & Skills :
Working experience in a quantitative environment either as a Model Developer or Model Validator
Graduate/ postgraduate degree in a quantitative discipline / STEM
Practical knowledge of optimization, statistics, and machine learning (e.g., classification, supervised and unsupervised learning)
Hands-on experience with querying and analyzing big datasets, ideally high frequency tick data.
Strong aptitude for code development and back-testing of trading strategies using python or similar.
Excellent verbal & written communication skills in English and competent in delivering high-quality evidence-based reports.
Self-motivated work attitude and ability to deal with various stakeholders.
Highly Desired Criteria
Experience in scientific programming & data visualization in R or Python and its libraries (e.g. scikit-learn, TensorFlow)
Knowledge of q/ Kdb+
PhD (or equivalent) in a quantitative discipline