The Core Engineering, FTP Strats, Associate, Quantitative Engineering

Goldman Sachs; New York (NY); On-site; USD 150,000 - 210,000; Full time

Job summary

Goldman Sachs Corporation in New York seeks a quantitative strategist for Corporate Treasury's FTP team. You will design and implement mathematical models to price funding for the firm’s assets and liabilities, enabling accurate ALM and risk management in a fast-paced, global environment.

You will collaborate with Treasury traders, Risk, and senior leadership to optimize liquidity, monitor deposits pricing, and deliver analytics and reports.

Qualifications

• Advanced degree in a quantitative field (PhD or Masters) or equivalent experience.
• Strong analytical and problem-solving ability.
• Python or similar programming language.
• Excellent communication across technical and business audiences.
• Familiarity with financial markets and optimization is a plus.
• Self-motivated team player.

Responsibilities

• Design and implement quantitative models to price funding for assets and liabilities.
• Develop fixed-income tradable models for internal funding transfer and risk centralization.
• Understand business needs, data requirements and specifications; facilitate data engineering solutions.
• Develop analytics and reporting to provide transparency on FTP and ALM.
• Analyze model output and explain results to non-technical clients.
• Manage end-to-end systems development from requirements to post go-live maintenance.

Skills

Analytical skills

Python

Communication

Team player

Financial markets knowledge

Education

PhD or Masters in Mathematics/Physics/Engineering/CS

Bachelor's with relevant work experience

Job description

Job DescriptionCorporate 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.

Job DescriptionCorporate 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. The Funds Transfer Pricing (FTP) Strats team within Treasury is dedicated to developing robust quantitative Asset Liability Management (ALM) models and frameworks. This enables the accurate pricing, incentivization, and execution of funding transfers, utilizing liabilities such as deposits and notes, to support the Firm's asset-generating revenue activities. The team collaborates closely with Treasury traders, deposit and revenue businesses, Risk, and senior leadership across the Firm to strategically manage the overall balance sheet and enhance risk management.

FTP’s Primary Objectives Are

• Incentivize the desks’ decision making to align with Firm’s overarching financial objectives while operating within established risk and regulatory frameworks
• Efficiently execute funds transfer through the utilization of internal funding instruments developed and managed by the FTP strats team
• Manage deposits pricing models to accurately quantify and assess interest rate risks across all deposits in the Firm
• Develop and manage effective quantitative models that facilitate the transfer of market risks in Treasury, enabling centralized managed by the Treasury trading desk

Responsibilities

• Design and implement quantitative frameworks and mathematical models to accurately price funding for Firm’s assets and liabilities
• Develop fixed-income tradable models for internal funding transfer and risk centralization as well as pricing models for deposits based to quantify deposits risk to markets sensitivities
• Understand business needs, data requirements and specifications; facilitate and develop process workflow required to support implementation of data engineering solutions
• Develop analytics and reporting to provide transparency on FTP and ALM
• Analyze model output and facilitate understanding of model results by non-technical clients
• Manage/Execute end-to-end systems development cycle from requirements analysis, coding, testing, UAT and post go live maintenance

Basic Qualifications

• Advanced degrees (PhD or Masters) in a quantitative field such as Mathematics, Physics, Engineering, or Computer Science -- or bachelor’s with relevant work experience
• Strong analytical and problem-solving ability
• Python or similar programming language
• Excellent communication skills, including experience speaking to both technical and business audiences and working globally across multiple regions
• Familiarity with financial markets, financial products, and optimization is a plus
• Self‑motivated team player