The Core Engineering, FTP Strats, Associate, Quantitative Engineering

The Goldman Sachs Group; New York (NY); On-site; USD 140,000 - 210,000; Full time

Job summary

The Goldman Sachs Group is seeking a highly skilled quantitative professional for the Funds Transfer Pricing (FTP) Strats team within Treasury. The role focuses on building robust ALM models and transfer pricing frameworks to optimize funding and manage deposits and liquidity.

You will collaborate with Treasury traders, risk, and senior leadership to centralize risk and improve balance sheet management across the firm. Advanced degrees and Python proficiency are strongly preferred.

Qualifications

• Advanced degree (PhD or Masters) in quantitative field, or bachelor’s with relevant work experience
• Strong analytical and problem-solving ability
• Proficiency in Python or similar 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 frameworks to price funding for assets and liabilities
• Develop fixed-income models for internal funding transfer and deposits pricing
• Understand business needs and data requirements for data engineering solutions
• Develop analytics and reporting for FTP and ALM transparency
• Analyze model output for non-technical clients
• Manage end-to-end development cycle: requirements, coding, testing, UAT, post go-live

Skills

Analytical thinking

Python

Communication

Team player

Problem solving

Education

PhD or Masters in quantitative field

Job description

Corporate 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