At a Glance
- Tasks: Develop quantitative models for financial products and regulatory capital.
- Company: Goldman Sachs is a leading global investment banking and securities firm.
- Benefits: Enjoy professional development, training opportunities, and a diverse work environment.
- Why this job: Make an impact by solving complex financial challenges and engaging with senior management.
- Qualifications: PhD or Master's in a quantitative field with 4+ years of financial modeling experience.
- Other info: Work in agile teams and gain exposure to machine learning applications in finance.
The predicted salary is between 72000 - 108000 £ per year.
What We Do
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. They safeguard the assets of the firm through an independent scrutiny of the financial information and ensure accurate reporting to internal and external consumers. They provide critical metrics and related analysis to the firm’s and divisions’ 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 the regulatory expectations as well as controlled in terms of their incorporation into the firm
Finance engineers help ensure the firm meets all of its financial control and reporting obligations. Working in small and nimble teams, we build critical and complex software to calculate profit and loss (P&L), independently verify valuations, measure and optimize the firm’s capital, balance sheet and liquidity metrics, and regulatory filings across the globe.
OUR Impact:
Controllers Strats 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, EMEA and Asia) develop and manage the platforms, calculation engines, and analytical tools that controllers, risk management, and deal-making teams use to project, monitor and report externally to regulatory for both regular business activity and under stress scenarios.
YOUR Impact:
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.
Controllers Strats 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. In this role, you will leverage your technical skills and functional expertise in P&L, balance sheet or regulatory capital (Basel 3) to build new calculations for the firm’s books and records and for new regulatory capital rules released as part of Basel 3 Endgame. The position would provide a unique opportunity to drive one of the most impactful initiatives at the firm and to directly engage with colleagues and senior management across revenue areas, Risk, and Engineering.
Why join the team?
- 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.
- Interpersonal Communication: You’ll engage with business users and engineers across all areas of the business to understand their requirements and to propose solutions tailored to their needs.
- Autonomy: You’ll have significant autonomy in designing and writing solutions to help our stakeholders deliver for the firm’s clients.
- Creativity: You’ll be encouraged to suggest improvements to products and to propose ways in which we can add value for our stakeholders.
- Training: 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.
RESPONSIBILITIES AND QUALIFICATIONS
- Develop quantitative models in 3 areas
- Independent price verification models that govern key business strategies and decisions related to valuation of products including complex derivatives and hard to value private investments
- Revenue analysis and modelling that governs new activity review, valuation adjustments and sign-off of daily P&L for all 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
- Provide ongoing testing and support for existing models
- Documentation and quality control of models
- Work in a dynamic, fast-paced environment that provides exposure to all areas of Finance
- Build strong relationships with business partners
- Identify opportunities for cross-divisional collaboration and reuse of common solutions
- Provide technical and functional guidance and leadership to junior members on a need basis
SKLLS AND EXPERIENCE WE ARE LOOKING FOR
- PhD or Master’s candidate in a quantitative field such as mathematics, physics, statistics or engineering
- 4+ 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
- Experience building pricing and risk models or familiarity with capital, stress testing and resolution planning
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 .
We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: The Goldman Sachs Group, Inc., 2023. All rights reserved.
Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity
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Controllers-London-Vice President-Quantitative Engineering employer: Illinois CPA Society
Contact Detail:
Illinois CPA Society Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Controllers-London-Vice President-Quantitative Engineering
✨Tip Number 1
Familiarize yourself with the latest developments in Basel 3 regulations. Understanding these regulations will not only help you in interviews but also demonstrate your commitment to staying updated in a rapidly changing financial landscape.
✨Tip Number 2
Showcase your quantitative skills by discussing specific projects or models you've worked on that relate to independent price verification or regulatory capital. Be prepared to explain your thought process and the impact of your work.
✨Tip Number 3
Network with professionals in the finance and engineering sectors, especially those who have experience in quantitative roles. Engaging with them can provide insights into the company culture and expectations, which can be invaluable during the interview process.
✨Tip Number 4
Prepare to discuss how you would approach complex quantitative problems, such as modeling risks for derivatives. Being able to articulate your problem-solving strategies will set you apart from other candidates.
We think you need these skills to ace Controllers-London-Vice President-Quantitative Engineering
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and qualifications required for the Controllers-London-Vice President-Quantitative Engineering position. Tailor your application to highlight how your skills and experiences align with these requirements.
Highlight Relevant Experience: In your CV and cover letter, emphasize your experience in financial modeling, quantitative analysis, and programming. Be specific about projects or roles where you've developed models or worked with complex financial products.
Showcase Technical Skills: Make sure to detail your technical skills, especially in programming languages like C++, Python, or Java. Mention any experience with machine learning and data science, as these are valuable in this role.
Communicate Effectively: Since the role requires excellent communication skills, ensure that your application reflects your ability to convey complex ideas clearly. Use examples from your past experiences where you successfully communicated with both technical and non-technical stakeholders.
How to prepare for a job interview at Illinois CPA Society
✨Showcase Your Quantitative Skills
Be prepared to discuss your experience with quantitative modeling and financial analysis. Highlight specific projects where you've developed models for pricing, risk assessment, or regulatory capital, and be ready to explain the methodologies you used.
✨Demonstrate Technical Proficiency
Since strong programming skills are essential, make sure to discuss your experience with languages like Python, C++, or Java. You might be asked to solve a technical problem during the interview, so practice coding challenges related to financial modeling.
✨Understand Regulatory Frameworks
Familiarize yourself with Basel 3 regulations and how they impact financial institutions. Be ready to discuss how your work can help the firm navigate these regulations and ensure compliance while optimizing capital resources.
✨Communicate Effectively
Prepare to articulate complex quantitative concepts in a way that is understandable to both technical and non-technical stakeholders. Practice explaining your past projects and their impact on business decisions to demonstrate your communication skills.