Goldman Sachs-posted 9 months ago
Full-time • Senior
Dallas, TX
Securities, Commodity Contracts, and Other Financial Investments and Related Activities

At 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. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets. 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. Controllers play an important role in the changing landscape of the firm, including its new business ventures and acquisitions, and ensure that these new initiatives are in line with regulatory expectations as well as controlled in terms of their incorporation into the firm. 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. We judge ourselves on our ability to help clients anticipate and respond to changing market conditions and to create opportunities that merit the trust they place in us.

  • Gain experience developing quantitative models, including independent price verification models that govern key business strategies and decisions related to valuation of products including complex derivatives and private investments.
  • Conduct revenue analysis and modelling that governs new activity review, valuation adjustments, and signoff of daily P&L for all of market making desks.
  • Develop 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.
  • Work on pricing and calibration models for a variety of financial products, including derivatives, illiquid cash products, private equity, etc.
  • Address challenging quantitative problems such as modeling risks for derivatives, large scale Monte-Carlo simulations of complete portfolios across the firm, and fast and accurate approximate valuation risk measurements.
  • Build strong relationships with business partners and identify opportunities for cross-divisional collaboration and reuse of common solutions.
  • Provide guidance and leadership to junior team members.
  • Collaborate with senior stakeholders, business partners, and quantitative peers.
  • Design and write solutions to help stakeholders deliver for the firm's clients.
  • Suggest improvements to products and propose ways to add value for stakeholders.
  • PhD or Master's candidate in a quantitative field such as mathematics, physics, statistics or engineering.
  • 5+ years experience in financial modeling.
  • Excellent command of mathematics, modeling, and numerical algorithms.
  • 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.
  • Experience building pricing and risk models or familiarity with capital, stress testing and resolution planning.
  • Exposure to machine learning and data science skills, and applications in finance.
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