Job description

Some careers have more impact than others.

If you’re looking for a career where you can make a real impression, join HSBC and discover how valued you’ll be.

HSBC is one of the largest banking and financial services organisations in the world, with operations in 62 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions.

We are currently seeking an experienced professional to join our team in the role of Senior Analyst - Decision Sciences

Principal responsibilities

  • Undertake model validation activities as dictated by the Global Model Risk Policy including the assessment of; model inputs, calculations, reporting outputs, conceptual soundness of the underlying theory and the suitability of the use for its intended purpose, relevance and completeness of data, qualitative information and judgements, documentation, and implementation of the model.
  • Provide written reports detailing the results of validations highlighting issues identified during the validation.
  • Validate remediation activities completed by the ILOD to ensure appropriate resolution of identified issues.
  • Communicate technical model related information and results to Model Owners and Model Users through the course of a validation.
  • Contribute to management, regulatory, and external confidence in all models used across the group.
  • Deliver, high quality, timely validation reports that add value to the business.

Requirements
  • Candidate should have worked in development or model validation pertaining to Asset Liability Management models (Liquidity and IRRBB) including but not limited to Net Interest Income (NII) modelling, Economic Value of Equity (EVE) modelling, Prepayment modelling, NMD modelling, Cash flow forecasting of various asset classes, LCR/NSFR computation etc.
  • Understanding of IRRBB - Gap/Optionality/Credit spread/Basis risk.
  • Reviewed Pricing Models- Derivatives/ Product Control and hedging models, Variation/Initial Margin modelling, Structural liability forecasting, multi-curve construction, SOFR/OIS discounting and Value-at-Risk measurements.
  • Should have the foundational understanding of pipeline, early redemption risk, prepayment, and extension risk.
  • Hands-on experience with vendor systems such as QRM, PolyPaths, Murex, Bloomberg etc.
  • Understanding of various stress testing models such as CCAR/PRA and various other mandatory regulatory expectations such as SR 11-7, SS 1/23.
  • Must have background in financial mathematics knowledge such as stochastic calculus, numerical methods, probability theory, regression, econometrics. Foundational understanding of Machine learning techniques is desirable
  • Minimum 1-5 years of experience of model validation/development experience in Risk Management in Treasury- Liquidity space.
  • Experience with some statistical modelling software / programming languages e.g. Python, R, Matlab, C++, VBA. Experience of conducting independent model reviews.
  • Ability to present complex statistical concepts and results to non-technical audiences in a persuasive and compelling manner.
  • Team-oriented mentality combined with ability to complete tasks independently to a high-quality standard.
  • Master’s or PhD degree in a quantitative discipline like Financial Mathematics, Statistics, Econometrics, Quantitative Finance, Economics or Engineering. 
  • Professional certifications such as CQF, CFA, FRM will be considered a plus.

You’ll achieve more at HSBC

HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc., We consider all applications based on merit and suitability to the role.”

Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website.

***Issued By HSBC Electronic Data Processing (India) Private LTD***

Back to search results