Engineering Financial Analyst
2 weeks ago
Corporate Treasury Organization Description:
Corporate Treasury Strats team is looking for world class quants to work closely with Corporate Treasury business partners and help build, enhance, maintain quantitative models and analytics used by the group to drive our divisional mandates. These include liquidity projections/optimizations, financial resource allocation and management, cash and collateral management and funds transfer pricing and execution strategy. Corporate Treasury lies at the heart of Goldman Sachs, ensuring all the businesses have the appropriate level of funding to conduct their activities, while also optimizing the firm's liquidity and managing its risk and being part of the engineering team will expose you to everything that's important and happening the firm. Our Corporate Treasury Strats team is a world leader in developing quantitative techniques and technological solutions that solve complex and commercial business problems. The platform supports a central execution capability to move assets around the globe to meet business obligations and facilitate significant optimization and automation capabilities.
In this role, you will be provided unique insight into the firm's business activities and asset strategy. You will be responsible for defining and developing models to optimize liquidity, creating optimization algorithms for real-time collateral management, and building metric calculators and other automated tools to help business get insights into data, predict scenarios and perform better decision making to reduce interest expense for the firm. This front to back model gives the quantitative developer a window into all aspects of CT planning and execution while working on cutting edge industrial technologies.
Build quantitative tools to attribute, explain and perform scenario analyses on various liquidity metrics. Write model documents and execute model validation process in accordance with firm policy for quantitative models. Degree in quantitative field such as Engineering, Computer Science, Mathematics, or Physics Strong analytical, mathematical, and programming background Expertise in Python, Java, or other coding language; experience in software development, including a clear understanding of data structures, algorithms, software design and core programming concepts Expertise in an aspect of quantitative analysis, e.g. mathematics, physics, statistics, stochastic calculus, scientific computing, econometrics, machine learning algorithms, financial modelling. 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'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. We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity
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