Liquidity Metrics Strats, Paris, Associate

The Core Engineering 

The Core Engineering builds and operates the platforms, applications, data solutions, models, and analytics that power critical processes for The Core divisions of the firm (e.g., Risk, responsible for the risk profile of firm activities; Controllers, responsible for the financial control and reporting obligations; Compliance, responsible for the firm’s compliance, regulatory, and reputational risks; Corporate Treasury, responsible for the firm’s liquidity, funding, balance sheet, etc.; and Human Capital Management, responsible for attracting, developing, and managing a global workforce). A centralized engineering structure in support of The Core enables a common platform model and operating framework that promotes consistent governance and scalable solutions, leveraging cloud, AI, and machine learning for innovation and efficiency. The Core Engineering’s 2,000+ engineers and strats deliver engineering, data, analytics, and quantitative capabilities within six business units: 

• Metrics & Analytics Platforms: responsible for the measurement and management of the firm’s risk, capital, and liquidity for The Core functions
• The Core Strats: responsible for the development and implementation of models and other quantitative methodologies, including the accuracy and attribution of modeled metrics
• Financials & Reporting: responsible for facilitating the production of the firm’s financials and a wide range of reporting functions
• Non-Financial Risk & Controls: responsible for non-financial risk and control processes
• Enterprise Platforms: responsible for platforms and applications that support critical operational processes across The Core such as payments, people processes, and procurement
• Shared Services: responsible for driving the adoption of consistent engineering strategy, including data platforms, cloud, and AI enablement, as well as the management of technology risk 

LIQUIDITY METRICS STRATS

Liquidity Metrics Strats use their engineering and mathematical background to identify and measure risk and to implement quantitative and technical risk modelling solutions. Successful Strats are highly analytical, driven to own commercial outcomes, and communicate with precision and clarity. As a part of the team, you will work with our key business partners and understand financial markets to quantify the firm’s liquidity risk. You will also focus on developing quantitative models & scalable architecture.

RESPONSIBILITIES

• Develop, implement, and maintain quantitative measures of liquidity risk using advanced mathematical/statistical/engineering approaches
• Perform quantitative analysis and facilitate understanding of a variety of financial instruments, including secured funding transactions, collateral firm and client inventory, and loans and commitments
• Quantify and monitor measures of risk in different areas across the firm, such as prime brokerage, synthetic trading, and repo trading
• Work alongside revenue generating functions and corporate treasury to implement the liquidity regulatory requirements
• Communicate clearly complex mathematical concepts with internal and external stakeholders such as risk managers, senior management and regulators.
• Updating and maintaining risk models along with business growth and risk environment changes
• Developing and maintaining large scale risk infrastructures/systems in a compiled or scripting language

QUALIFICATIONS

• Strong quantitative skills with a PhD degree in a quantitative discipline (Physics, Mathematics, Quantitative Finance, Computer Science, Engineering, or related technical discipline) or a Bachelor’s/Master’s degree in a quantitative discipline with 3-5 years of relevant work experience in a quantitative role.
• Strong analytical and problem solving skills using math, statistics, and programming
• Strong programming experience in at least one compiled or scripting language (e.g. C, C++, Java, Python), including a clear understanding of data structures, algorithms, software design and core programming concepts
• Excellent written and verbal communication skills – ability to explain complex quantitative concepts to a non-technical audience
• Demonstrated ability to learn technologies and apply
• Experience in designing highly scalable, efficient systems
• Familiarity with financial markets, financial assets and liquidity risk management practices is a plus