Quantitative Strategist, Controllers, Finance Engineering New York· · Associate
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Quantitative Strategist, Controllers, Finance Engineering location_on New York, New York, United StatesOpportunity Overview sitemap_outline CORPORATE TITLE Associate language OFFICE LOCATION(S) New York assignment JOB FUNCTION Quantitative Engineering account_balance DIVISION Controllers monetization_on SALARY RANGE USD 115,000 - 180,000What We DoAt Goldman Sachs, our Engineers don't just make things - we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action.The Controllers division is responsible for financial control and regulatory obligations of the firm. We safeguard the assets of the firm through an independent scrutiny of financial information and ensure accurate reporting to internal and external consumers. We provide critical metrics and analysis to the firm's leadership to navigate the evolving business strategy, including incumbent and strategic initiatives.Within Controllers, Finance Engineering is responsible for designing and implementing solutions to manage the firm's P&L, independently verify valuations, measure and optimize the firm's capital, balance sheet and liquidity metrics, and regulatory obligations. Our global agile teams (based across Americas, Europe, and Asia) develop and manage the platforms, calculation engines, and analytical tools that deal-making and risk management teams use to project, monitor, and report externally to regulatory for both regular business activity and under stress scenarios.Our team is a multidisciplinary group of quantitative experts within the Controllers division, focusing on independent price verification, regulatory capital measurement, revenue analysis, and modelling. The group is primarily responsible for building advanced quantitative models and analytical tools for valuation risk and regulatory capital pertaining to the three areas mentioned.We conduct our business in increasingly complex markets. Our people must continually find new ways to provide access to capital, manage risk, and provide investment opportunities for our clients to enable them to realize their goals.How You Will Fulfill Your Potential Independent price verification models that govern key business strategies and decisions related to valuation of products including complex derivatives and private investments.Revenue analysis and modelling that governs new activity review, valuation adjustments, and signoff of daily P&L for all of market making desks.Regulatory capital models for key externally reported capital metrics that play a key role in determining forward-looking business strategies and decisions in an evolving regulatory landscape.Broad exposure to pricing and calibration models for a variety of financial products, including derivatives, illiquid cash products, private equity, etc.Exposure to challenging quantitative problems such as modeling risks for derivatives, large scale Monte-Carlo simulations of complete portfolios across the firm, fast and accurate approximate valuation risk measurements.Exposure to machine learning and data science skills, and applications in finance.Gain understanding of evolving regulatory framework and leverage quantitative skills to help the firm manage capital resources.Collaborate with senior stakeholders, business partners, and quantitative peers.Autonomously design and write solutions to help our stakeholders deliver for the firm's clients.You'll be encouraged to suggest improvements to products and to propose ways in which we can add value for our stakeholders.Your manager will support your professional development, allowing you time for training at work, helping you learn and grow within the organization, and providing opportunities for increasing responsibility. Who We Look For PhD or Master's candidate in a quantitative field such as mathematics, physics, statistics or engineering.2+ years experience in financial modeling.Excellent command of mathematics, modeling, and numerical algorithms. Exposure to machine learning and data science skills, and applications in finance is a plus.Strong programming skills and experience with an object oriented programming language (such as C++, Python, or Java).Excellent communication skills including experience speaking to technical and business audiences and working globally.Comfortable with multi-tasking, managing multiple stakeholders and working as part of a team. Salary RangeThe expected base salary for this New York, New York, United States-based position is $115000-$180000. In addition, you may be eligible for a discretionary bonus if you are an active employee as of fiscal year-end.BenefitsGoldman Sachs is committed to providing our people with valuable and competitive benefits and wellness offerings, as it is a core part of providing a strong overall employee experience.#J-18808-Ljbffr