ASSOCIATE DIRECTOR-eTrading Quantitative Research & Analytics (FX/Rates eRisk)

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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 Associate Director- eTrading Quantitative Research & Analytics (FX/Rates eRisk)

In this role, you will:

• Conduct thorough Quantitative Research on Pricing & Risk Management for the eRisk Franchise
• Provide high level sophisticated solutions for Quantitative support in the development of Analytics & Business Intelligence for Global FX Spot, STIRs & EM Rates. The role involves using tick by tick data and maintain process related to testing of analytics & accuracy of the data used.
• Ensure expert Quantitative Development support in strategic platform specific improvement and efficient maintenance utilizing advanced Python & KDB technologies.
• Ensure Automating & Maintaining various Business Intelligence Reports & MI for top level management in GFX & EM Rates Business.
• Leading Teams focused on Specific Product or Business area; Own and maintain a long-term BOW for the team; Participate and lead the team meeting / team activities and work towards sustaining team spirit.
• Support achievement of team objectives & participate in in development of cohesive teams; Contribute to the creation of a supportive work environment driven by people centric values.
• Build professional relationships with colleagues in other areas; Bringing in Thought leadership in terms of new & innovative ideas to improve our pricing & risk management algo’s
• Be a mentor to new joiners, run training & learning programs for the team to cohesively develop talent.

To be successful you will -

• 8+ Years of Experience in eTrading Domain focusing on any Asset Class (Equities/FX/Rates), Bachelors, Masters or PHD in Maths/Statistics/Engineering/Data Science from Tier 1 Institutes.
• Strong Understanding of Quantitative Framework for eTrading Franchise; Rates Curve Modelling, Market Microstructure for FX & Rates Products; Derivative products and its Pricing & Valuations; Machine Learning techniques.
• Strong Knowledge of statistical learning and data-mining technics; script programming languages (Python), database query languages (Q/KDB, SQL)
• Exposure to Web Development using Python; JavaScript & CSS; Object Oriented Programming Language (C++/Java).
• As part of the eRisk Team also have an additional responsibility of collaborating with the larger Voice Trading business in order to deliver various Quantitative Analytics, Pricing & Risk Management Research & Business Intelligence reports to trading & top-level management within the Asset Class cutting through all products within FX, Emerging Market Rates & Commodities.
• We, as a team are diversified with variety of skills and knowledge, and are looking forward to an individual passionate about Data Mining, Data Analytics and Business Intelligence using Python, KDB, making user friendly dashboards etc. We as a team that offer immense opportunity for learning in areas specific to Quant Research, Electronic Trading (Pricing, Execution & Risk Management), Python & Q/KDB, application of machine learning etc.

You’ll achieve more at HSBC 

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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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