The Core Engineering- Liquidity Quantitative Engineer / Strat - Vice President - London

Goldman Sachs; Greater London; On-site; GBP 120,000 - 180,000; Full time

Job summary

The Core Engineering teams at Goldman Sachs build and operate platforms, data solutions, models and analytics that power critical processes across Risk, Controls, Compliance, and more. With 2,000+ engineers and strats, the group delivers engineering, data, analytics, and quantitative capabilities across six business units.

The role requires strong programming experience, a postgraduate or bachelor's degree in a technical discipline, and a track record in scalable system design.

Qualifications

• Post graduate or Bachelor's degree in a technical discipline.
• 6+ years in software development with data structures and algorithms.
• Strong analytical and problem-solving skills using math, statistics, and programming.
• Excellent communication skills for global audiences.
• Experience designing scalable, efficient systems.
• Familiarity with financial markets and risk management is a plus.

Responsibilities

• Develop risk models and risk sensitivity analyses using advanced mathematical/statistical/engineering approaches such as optimization, machine learning, regressions, visualization
• Performing detailed analysis on risk trends and drivers
• Updating and maintaining risk models along with business growth and risk environment changes
• Developing and maintaining large scale risk infrastructures/systems using strong programming experience in at least one language (e.g. C, C++, Java, Python, Scala)
• Experience in designing highly scalable, efficient systems
• Effectively communicating results and outputs from the model and insights from analysis

Skills

Programming experience in compiled or

Analytical thinking

Communication skills

Learning agility

Education

Bachelor's or higher in Mathematics/Physics/Electrical Engineering or related discipline

Tools

C/C++/Java/Python

Job description

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

FUNCTIONALITY DESCRIPTION

• Developing risk models and risk sensitivity analysis that use advanced mathematical/statistical/engineering approaches such as optimization, machine learning, regressions, visualization
• Performing detailed analysis on risk trends and drivers
• Updating and maintaining risk models along with business growth and risk environment changes
• Developing and maintaining large scale risk infrastructures/systems using strong programming experience in at least one compiled or scripting language (e.g. C, C++, Java, Python, Scala)
• Experience in designing highly scalable, efficient systems
• Effectively communicating results and outputs from the model and insights from analysis

QUALIFICATIONS

• Post graduate degree /Bachelor’s degree in Mathematics, Physics, Electrical Engineering or related technical discipline
• 6+ years experience in software development, including a clear understanding of data structures, algorithms, software design and core programming concepts
• Strong analytical and problem solving skills using math, statistics, and programming
• Demonstrated ability to learn technologies and apply
• Excellent communication skills including experience speaking to technical and business audiences and working globally
• Strong programming experience in at least one compiled or scripting language (e.g. C, C++, Java, Python)
• Experience in designing highly scalable, efficient systems
• Familiarity with financial markets, financial assets and 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.

We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html

© The Goldman Sachs Group, Inc., 2023. All rights reserved.

Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.