Liquidity Metrics Strats, Paris, Associate (Quantitative Engineering)

Location: Paris, Ile-de-France, France; office-based role

Company

hirify.global builds financial, engineering, data, analytics, and quantitative solutions supporting risk, liquidity, reporting, compliance, and other core corporate functions.

What you will do

• Develop, implement, and maintain quantitative measures of liquidity risk using mathematical, statistical, and engineering methods.
• Analyze financial instruments including secured funding transactions, collateral inventories, loans, and commitments.
• Quantify and monitor risk across prime brokerage, synthetic trading, repo trading, and other firm activities.
• Work with revenue-generating functions and Corporate Treasury to implement liquidity regulatory requirements.
• Update risk models as the business and risk environment evolve.
• Develop and maintain large-scale risk infrastructure and systems in compiled or scripting languages.

Requirements

• PhD in Physics, Mathematics, Quantitative Finance, Computer Science, Engineering, or a related quantitative discipline; alternatively, a Bachelor's or Master's degree with 3–5 years of relevant quantitative experience.
• Strong analytical and problem-solving skills using mathematics, statistics, and programming.
• Strong programming experience in at least one compiled or scripting language, such as C, C++, Java, or Python.
• Understanding of data structures, algorithms, software design, and core programming concepts.
• Experience designing highly scalable and efficient systems, with the ability to explain complex quantitative concepts to non-technical audiences.

Nice to have

• Familiarity with financial markets, financial assets, and liquidity risk management practices.

Culture & Benefits

• Work within The Core Engineering, a centralized engineering organization with more than 2,000 engineers and strats.
• Collaborate with risk managers, senior management, regulators, Corporate Treasury, and revenue-generating functions.
• Contribute to scalable platforms, data solutions, models, and analytics supporting critical firm processes.