Confidential · 1 week ago
Quantitative Analyst
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Business DevelopmentConsulting
Insider Connection @Confidential
Responsibilities
Build analytical tools and applications for the business and traders’ use to assess market risk and capital metrics, and to develop efficient portfolio level hedge strategies.
Perform in-depth diagnosis of the current market risk and capital models and processes, partner with the business and other quant teams to propose and drive enhancement.
Partner with traders, provide cost-benefit analysis to help on business prioritization, guidance and direction.
Liaise with asset class quant teams to improve existing pricing models, to align with regulatory requirement and strengthen the process used for calculating risk metrics and valuation.
Develop and maintain large-scale in-house python and C++ analytics libraries.
Appropriately assess risk/reward of transactions when making business decisions; and ensure that all team members understand the need to do the same, demonstrating proper consideration for the firm’s reputation.
Be familiar with and adhere to Code of Conduct and the Plan of Supervision for Global Markets and Securities Services; and ensure that all team members understand the need to do the same.
Adhere to all policies and procedures as defined by your role which will be communicated to you.
Obtain and maintain all registrations/licenses which are required for your role, within the appropriate timeframe.
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.
Qualification
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Required
4+ years of experience in quantitative modeling in the financial industry
Must possess product knowledge of at least one asset class. Experience in Rates or Equities is a plus.
Must have strong technical/programming skills such as in python or C++.
Familiar with SQL, and experience working with large dataset.
Familiar with software development principles. Able to design, structure, and modularize complicated program.
Experience with statistical analysis and calculations using market data.
Exposure to pricing models to evaluate risks of complex financial instruments is a plus.
Understanding of commonly used market risk metrics and method such as VaR, stress testing.
Clear and concise written and verbal communication skills.
A PhD or Master’s in a technical discipline such as statistics, computer science, mathematics, physics, quantitative finance, operations research or similar.
Preferred
Experience in Equities
Experience with C++
Experience with VaR and stress testing
Experience in Rates
Experience with pricing models for complex financial instruments