Live opening · Posted 13 hours ago

The Core Engineering, Liquidity Metrics Strats, Dallas, Vice President

Goldman Sachs · Dallas, TX, United States
Oracle
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At a glance

The key details from the original listing.

Posted 13 hours ago
CompanyGoldman Sachs
LocationDallas, TX, United States
SkillsPython, Java, C++
SourceOracle
Listed13 hours ago

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About the role

Description supplied by the original job listing.

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
At least 5 years of prior experience in the financial industry, preferably in a quantitative role in Capital Markets or Treasury functions
Strong quantitative skills with an advanced degree in Mathematics, Physics, Engineering or other highly quantitative discipline
Strong programming experience in at least one compiled or scripting language (e.g. C, C++, Java, Python)
Strong written and verbal communication skills – ability to explain complex quantitative concepts to a non-technical audience
Strong analytical and problem solving skills using math, statistics, and programming
Demonstrated ability to learn technologies and apply
Familiarity with financial markets, financial assets and liquidity risk management practices is a plus
ABOUT GOLDMAN SACHS
At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.
We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.

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