Quant Analyst, AVP

Role Description

Group Strategic Analytics:

• Analytics and technology are seen as central to all the main units of the bank, including Investment Bank, Corporate Bank and to Risk and Control functions. The Strategic Analytics team combines expertise in quantitative analytics, modelling, pricing and risk management with deep understanding of system architecture and programming.
• The primary output is a scalable and flexible Front Office pricing and risk management system with consistent interface to both the Middle Office and Back Office.
• The consistency in analytics and the technology platform ensures that no arbitrage can exist between various parts of the Bank as well as rational allocation of constrained resources, including risk budget, balance sheet, funding, and capital.

Your key responsibilities

Treasury Strat's

• The candidate is required to work in collaboration with London/New York/Frankfurt team on various quantitative and regulatory driven projects.
• Candidate is required to understand the business problem, gather information required for the implementation and provide an end-to-end optimized solution on a scalable platform.
• Implementation of the project needs to be done in Python and C++ programming language.
• Candidate should possess a very good English communication skill in order to coordinate and communicate their work effectively with various stakeholders spread across globe.

Role Responsibilities

• Development of complex processes, framework or risk analysis as well as improvements
• Implement, enhance and maintain existing framework to measure market risks across the bank
• Understand and decipher business problem to convert into manageable smaller problem statements
• Coordinate and gather information from various stakeholders for deeper understanding of the business
• Design an automated solution which is optimized and scalable
• Develop and design tables and databases required for the storage of the data
• Develop applications/libraries for the implementation of the solution
• Remediation of regulatory as well as external and internal findings against the MR HS models in line with the assigned tasks
• Constant awareness and understanding of the key market risks taken by the business areas and communication to senior management and with ex
• External stakeholders, challenge the business within assigned areas when required
• Quality assurance (e.g. 4 eyes principle reviews)

Your skills and experience

Competencies:

• Programming Skills
• At least 4 years experience in Python/C++ programming
• Good knowledge of OOPs programming concepts ( Class, Pointers, Data structure stacks, queue)
• Experience in pulling data from various Market data sources.
• Independent handling and mitigating methodological or process weaknesses identified by regulators, auditors and internal model validation team
• Strong communication skills and presentation ability with attention to detail
• Good problem solving instincts and strong analytical skills

Personal characteristics:

• Ability to work independently as well as flexibly within intra or inter-departmental groups.
• Continuous advancement of own skills and knowledge
• Can-Do attitude & Able to cope well under pressure and tight deadlines.

Education/ Qualifications:

• Strong educational background in Engineering/Science, Economics, Statistics or other numerate discipline preferably from good colleges in India e.g. IIT, NIT, ISI etc.
• Good knowledge of financial instruments and markets across all asset classes
• Knowledge of financial pricing models, risk models would be desirable
• Experience with applied econometrics (Hypothesis testing, PCA, Linear/Non-Linear Regression etc) will be a plus
• Certification courses like CFA/FRM/CQ