Analyst Decision Sciences

Job description

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 Analyst Decision Sciences

Principal responsibilities

·  Decision Sciences job family is structured to address business problems with quantitative solutions like building of predictive algorithms / forecasting / scenario simulations etc. Members of this Job Family are differentiated by their capability of converting a business problem into a quantitative construct, solve it with available statistical / mathematical methods (following the right rigour), engage with IT to implement and finally interpret the model outcomes in business language. The range of business problems may cover areas of business growth, improving customer experience, limiting risk exposure, capital quantification, enhancing internal business processes etc. They are required to, as necessary, embed agile & exploratory practices into their approach, justify the choice of appropriate methods to various internal and external reviewers. This talent group is expected to keep themselves apprised of latest developments and industry practices around emerging methodologies, techniques etc. and bring those in-house by applying them for better outcomes. A decision sciences job family member should be able to: -
·  Apply relevant analytical methods / algorithms to get actionable insights from HSBC's internal (both structured and unstructured) and external data sources
·  Partner with IT / Data Engineering teams to create deployment road-map
·  Provide actionable solutions with clear articulation of recommendations for the business stakeholders across geographies
·  Independently manage delivery of analytics projects by working with business partners across regions / geographies
·  Actively contribute in innovative analytical solutioning for improved business performance
·  The position is of Analyst/ Senior Analyst/ Manager, CrossRisk Traded Risk Analytics – Traded Risk Models and will functionally report into TRA Leads for Americas.
·  This role is responsible to manage the full model implementation cycle (from design, implementation, monitoring to demise) of FRTB IMA models for HSBC Group. The jobholder will be located in Traded, Treasury & Operational Risk Analytics, GAC GRA in Bangalore, India

Requirements

·  Strong quantitative background, with a degree (Masters/PhD preferred) in Statistics/ Econometrics/ Economics/Mathematical Science/Engineering/Finance
·  Minimum of 2 years of relevant experience in model development, model validation and model management.
·  Good understanding of pricing, valuation, VaR, derivative products; time series market data.
·  Strong programming skills (Python, Matlab etc.) in order to develop the models or making proof of concepts.
·  Knowledge of numerical methods applied on these models is a definite advantage.
·  Working experience of Traded Risk models as part of model development or model validation team.
·  Manage and train Junior staff.
·  Ability to collaborate and communicate effectively, including within onshore / offshore team set-ups.
·  Ability to drive results in a limited time duration and handle constant work related pressure.
·  Knowledge and exposure to cloud analytics platform such as GCP, AWS Redshift, Azure etc. would be a plus but not mandatory
·  Enthusiasm for proactively seeking, exploring and developing use cases for new data and/or tools/wider industry trends
·  Knowledge of mathematical concepts and stochastic calculus.

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.”

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