- Wall Street is investing big in AI talent, from data scientists to machine-learning engineers.
- BI collected salary data from 8 Wall Street banks for AI roles across all levels.
- See who's hiring and paying the most at JPMorgan, Goldman Sachs, Citi, and more.
Wall Street is investing big in artificial intelligence — and that's good news for machine-learning engineers and other tech talent.
Consider JPMorgan Chase, America's largest bank by assets. In a recent letter to investors, CEO and Chairman Jamie Dimon compared the potential disruption of generative AI to that of electricity, the printing press, the steam engine, the computer, and the internet.
Dimon said the firm is getting ready for the AI revolution with its more than 2,000 machine-learning experts. These workers are tackling a range of AI use cases, such as marketing, fraud, and risk — and looking into how the technology can be used for customer service, operations, and software engineering, he said.
"In the future, we envision GenAI helping us reimagine entire business workflows," Dimon said, adding that it could potentially reduce some jobs in the company while also creating new ones. Dimon said he expects the technology to eventually "augment virtually every job" at the financial powerhouse.
JPMorgan is far from the only bank investing heavily in this technological future by hiring reams of artificial-intelligence experts, including machine-learning engineers and data scientists.
Citi's top tech exec recently outlined, in an interview with BI, how the bank's AI roadmap will impact everyone from engineering to operations and wealth. Deutsche Bank, meanwhile, has been on an AI hiring tear as the German bank looks to grow its AI employee base to at least 600, Gil Perez, Deutsche's chief innovation officer, previously told BI. AI is also widely expected to eventually take over many of the tedious tasks now ascribed to junior investment bankers, like editing pitch decks and putting logos on PowerPoints, which stands to make the notoriously competitive field even harder to break into.
The race to harness AI across corporate America has put a premium on talent with relevant AI skills, which means banks will have to shell out more money to compete for the best talent. Some PE firms are offering pay packages up to $2 million for AI execs to implement the tech at portfolio companies, as Business Insider has previously reported. Top AI product managers, for instance, can snag about $100,000 more than standard engineering managers, recruiters told BI.
"We're talking about cream-of-the-crop talent that is seeing a bit of upside to the AI boom," said Giancarlo Hirsch, a managing director at recruitment firm Glocomms, referring to the "inflated range" for compensation. Hirsch said that investment banks are hiring AI engineers to build in-house tools that they can use "across their trading, research, and risk-management functions."
To put Wall Street pay for AI talent in perspective, BI pulled data from the US Office of Foreign Labor Certification's 2023 disclosure data for H1-B and similar visa holders for large investment banks, some of which also have consumer banking divisions, commercial lending divisions, and asset management divisions. The 8 banks reviewed are JPMorgan Chase, Bank of America, UBS, Citibank, Barclays, Deutsche Bank, Goldman Sachs, and Morgan Stanley.
We pulled data for roles containing keywords like "AI," "data science," "machine learning," and "prompt." We also included any roles tagged with the Department of Labor classification (known as a SOC code) for data scientists. While not every data scientist works directly on artificial intelligence, their work of ensuring integrity across the vast amounts of data these firms collect is an integral part of rolling out advanced machine-learning applications.
This data shows the salaries that Wall Street banks expected to pay foreign data scientists and AI workers in 2023, and its disclosure is part of their visa terms. This data does not include signing or performance bonuses or stock-based compensation, but it is the best publicly available data on base pay at these firms, which are known for doling out big bonuses.
All of the banks either declined to comment or did not respond to a request for comment.
Check out data-science and AI salaries for JPMorgan, Goldman Sachs, Citi, Bank of America, and other investment banks:
Bank of America
Bank of America has been building AI-powered virtual assistants for years, both its Erica assistant for retail banking customers and its back-end product known as Banker Assist. Banker Assist connects disparate sources of data into one centralized location, cutting out hours of research work.
The bank is also a leader in AI patents, with Bank of America and Capital One responsible for 2/3rds of all AI patents filed between June 2021 and 2022, according to Evident AI.
It sought to fill 11 data-science roles through the visa programs in 2023, with vice president/data scientist I making up five of the roles or nearly half. BI was unable to find open job postings that match the roles below.
Assistant Vice President, Data Scientist I: $118,473- $139,464
Officer, Data Scientist I: $120,000
Senior Vice President, Senior Data Scientist: $194,000
Vice President; Data Scientist I: $134,914-$165,000
Vice President; Data Scientist II: $155,000
Barclays
At the start of this year, Barclays and IBM released a report finding that AI will quickly impact worker productivity worldwide compared with technologies like the steam engine, electrification, and personal computers, which took decades to ramp up fully.
Barclays Chief Information Officer, Craig Bright, noted that generative AI will increase the firm's fraud-detection capabilities and act as a personal assistant to customer service workers with difficult or specific questions.
The company sought to hire 28 data-science and AI workers via the visa program in 2023. The highest-paid worker is a New York-based vice president of data science who was offered $198,000. BI was unable to find comparable salaries for open roles online.
Associate Vice President, Systems Analyst, Data Science Projects: $139,000
Associate, Data Science Research: $156,500
AVP Data Analyst: $140,000
AVP Data Product Owner: $140,000
AVP Internal Audit Data Management: $150,000
AVP US Risk: $140,000
Data Analyst: $155,000
Data Engineer: $110,000-$120,000
Data Metrics Analyst Lead: $125,000
Data Scientist: $145,000
Enterprise Data Platform Engineer: $120,000
IAM DataServices Lead: $155,000
Internal Audit Data Analytics AVP: $110,000
SAS Senior Analyst: $125,000
Securitized Products Modeling Analyst, AVP: $150,000
Senior Data Analyst and Programmer: $148,000
Senior SAS Analyst: $115,232-$130,000
Vice President, Data Science: $170,000-$198,000
Vice President, Managing Data Scientist: $109,762-$185,000
Citibank
Citi's co-chief information officer, Shadman Zafar recently told BI that small and "boring" changes brought by AI will create the biggest change. Instead of focusing on one massive project, the firm will use AI in small ways that add up. The firm already has 30,000 software engineers using AI to become more efficient by creating new code and more thoroughly documenting existing code.
It also plans to use AI extensively in operational roles, decreasing the rote tasks that these workers need to do. On the customer-facing side, AI will help bankers and advisors complete mechanical tasks and create reports, giving them more time with clients. Eventually, Zafar said the bank will want to use AI to create financial products more quickly when customers want them.
Citi had the second-largest request for AI visas, with 52 data science and AI engineers. The company sought 11 data-science lead analysts via visas, the most in the database. The most highly paid role was for a business analytics principal at $200,600. A review of current job postings shows the firm offering similar salaries for similar roles, including an open data science lead analyst role for $163,238.
Check out what the bank is paying for different AI roles below.
Data Science Group Manager: $175,000
Data Science Lead Analyst: $116,000-$167,814
Data Science Senior Analyst: $108,645-$141,800
Data Science Senior Manager: $142,000-$154,000
Business Analytics Group Manager: $192,400-$195,244
Business Analytics Principal: $200,600
Business Analytics Senior Analyst: $115,000-$120,000
Business Risk Officer: $140,000
Data Analytics Lead Analyst: $155,000
Data Analytics Senior Analyst: $139,000
Data Governance Senior Lead Analyst: $178,000
Data/Information Management Analyst: $140,000
Digital PM Lead Analyst: $175,000
Legal Support Senior Group Manager: $155,000
Model/Analysis/Validation Officer: $145,000
Model/Analysis/Validation Senior Analyst: $98,000-$132,925
Operational Risk Officer: $120,175
Operational Risk Senior Analyst: $110,000
Risk Policy Officer: $163,238
Specialized Analytics Lead Analyst: $162,000
Specialized Analytics Senior Analyst: $153,525-$163,238
Deutsche Bank
Deutsche Bank has spent the past 18 months aggressively experimenting with AI, the bank's chief innovation officer told BI in September. At the time, the bank had about 300 technologists working on AI projects, a number that Deutsche's chief innovation officer, Gil Perez, predicts will double or triple by the end of this year.
Much of Deutsche Bank's early AI work was aimed at automating manual processes in the corporate bank, which serves its institutional clients, financial services firms, and investors. One example was an AI tool that generated client briefings for bankers ahead of client meetings. What used to take a team of junior bankers a day or two to produce can now be created with the touch of a few keystrokes.
BI only found three roles with generic investment-banking titles, though they were tagged as data scientists. The firm sought to hire two of each of the roles below for a total of 6 AI hires. It's worth noting that the pay for two vice presidents is higher than the salaries listed on the firm's website for similar roles, which list a pay range of $125,000 to $203,000.
Analyst: $95,000-$100,000
Associate: $105,000-$120,000
Vice President: $250,000
Goldman Sachs
Goldman Sachs' tech chief previously told BI he believes we're at an inflection point with AI, and that the technology's impact is already rippling through the bank. Some of the bank's early use cases include getting non-tech workers to do more with code and automating the annoying task of documenting what code does for engineers.
AI is not just changing how Goldman tech employees work, it's also redefining what it takes to be a software engineer. Marco Argenti, Goldman's chief information officer, said it's more important than ever to understand the problem that needs solving and why before coding begins. Taking courses in philosophy and English will help future generations of engineers stand out in the age of AI.
Goldman sought to hire 19 data-science workers through the visa program in 2023. The highest paid offer was for a New York-based vice president with a $220,000 salary, while the lowest was for a Utah-based analyst at $57,700. The firm is currently hiring for a New York-based internal audit-embedded data analytics associate-level data role with a salary range of $85,000 to $140,000, roughly comparable to the salary ranges offered for associate-level roles last year.
Check out salaries for different roles below. While they carry investment-banking titles like analyst and vice president, their visa paperwork comes with data-science codes.
Analyst: $57,700-$100,000
Associate: $88,000-$126,000
Vice President: $156,000-$220,000
JPMorgan Chase
JPMorgan Chase, the biggest bank in the country, is making a play to be the industry's AI leader. The bank had, by far, the most visa worker hires in our study, 237, with Citibank at a distant second with 52 hires. A report by Evident AI ranked the bank at the top of its AI Innovation list for banks, noting that it produced 45% of all AI research produced by banks in 2023. AI research at JPMorgan is led by Manuela Veloso, who leads a team of academics who look at the potential of AI across seven main areas, from data management to employee empowerment.
The practical application of AI at JPM is spearheaded by the bank's recently formed Data and Analytics organization. JPMorgan's firmwide chief data and analytics officer, Teresa Heitsenrether, leads that team, which consists of AI, machine learning, and data executives from across the bank. The firm's prodigious hiring of data science and AI roles last year included applications of 37 data science associates and 37 applied AI & machine learning associates. In total, the firm sought to hire 95 employees on a visa with AI in their title with a top salary of $275,000 for a data scientist/executive director position. The lowest salary was $90,000, which is more than $30,000 above the average US salary.
Recent job listings show the firm is currently hiring for similar roles at similar salaries. An applied AI/ML lead position comes with a salary range of $147,250 to $260,000, compared to the $163,800 to $235,000 offered to the sixteen vice presidents of applied AI ML leads they sought in 2023.
Check out what the bank is paying for different roles below.
Associate, AI & Data Science: $125,000-$150,000
Associate, AI Research: $140,000-$215,000
Associate, Analytics Solutions: $115,000-$150,000
Associate, Applied AI & Machine Learning: $124,000-$215,000
Associate, Asset Associate II: $109,250
Associate, Business Analyst: $90,000-$98,500
Associate, CCB Risk Program AI/ML: $140,000
Associate, Channel Marketing: $115,000
Associate, Data Analyst: $130,000
Associate, Data Analytics Analyst: $100,000
Associate, Data Domain Architect: $117,500-$120,000
Associate, Data Management: $102,000
Associate, Data Scientist: $100,000-$180,000
Associate, Data Visualization: $125,000
Associate, Model Program Risk: $150,000
Associate, Modeling Analytics: $120,000
Associate, Quant Analytics: $100,000-$135,000
Associate, Quant Modeling: $120,000
Associate, Quantitative Research: $125,000-$131,000
Associate, Software Engineer: $127,700-$145,000
Associate, Strategic Analytics: $90,900-$120,000
Business Analysis Associate II: $110,000
Data Analytics Analyst: $100,000
Data Scientist Analyst: $90,000-$102,274
Data Scientist: $100,000
Executive Director, Applied AI ML Director: $260,000
Executive Director, Data Scientist: $260,000-$275,000
Executive Director, Product Director: $260,000
Executive Director, Quant Analytics: $235,000
Quant Analytics Associate: $90,000
Senior Associate, AI Research: $175,000-$185,000
Senior Associate, Applied AI & Machine Learning: $134,000-$173,720
Senior Associate, Data Owner Associate: $145,000
Senior Associate, Data Scientist: $110,000-$160,000
Senior Data Scientist: $166,000
Senior Engineer, Applied AI ML: $170,100
Senior Quant Analytics Associate: $107,000
Vice President, AI Research Lead: $177,000-$193,800
Vice President, Analytics Solutions and Delivery: $142,623
Vice President, Applied AI ML Lead Predictive Science: $203,500
Vice President, Applied AI ML Lead: $163,800-$235,000
Vice President, Applied AI ML: $175,000-$260,000
Vice President, Capital Risk Lead: $175,000
Vice President, Data Domain Architect: $170,000
Vice President, Data Domain Architect: $170,000-$190,000
Vice President, Data Management Lead: $175,000
Vice President, Data Scientist Lead: $120,000-$190,000
Vice President, Data Scientist: $146,000-$190,000
Vice President, Database Management Lead: $135,000
Vice President, Fraud Risk: $145,000
Vice President, Lead Software Engineer: $170,000
Vice President, Modeling Analytics: $139,000
Vice President, Predictive Science: $137,600
Vice President, Product Development (AI/ML): $118,400
Vice President, Product Specialist: $135,000
Vice President, Project Execution: $155,000
Vice President, Quant Analytics Manager: $116,000
Vice President, Software Engineer: $214,000
Vice President, Strategic Analytics: $135,000
Morgan Stanley
At Morgan Stanley, Jeff McMillan is infusing AI into the daily routine of its 16,000 financial advisors. McMillan is Morgan Stanley's AI leader who assumed the helm in April— a promotion from his post as head of wealth-management tech.
Advisors at Morgan Stanley now have access to "AI@MS Assistant," a generative AI chatbot that knows the bank inside and out and can answer questions related to wealth management. The firm is also piloting another generative AI tool, AI@MS Debrief, which can summarize Zoom conversations with clients, generate emails with next steps for clients, and help advisors create newsletters. Looking ahead, McMillan said he plans to build similar AI tools for other bank divisions using the same underlying technology behind AI@MS Assistant.
The company sought to hire 15 data science workers through the visa program in 2023, with the highest-paid role for a New York-based vice president at $210,000. BI was unable to find any directly comparable roles on Morgan Stanley's job boards.
Check out the salaries below, which carry investment-banking titles but have been tagged as data science jobs.
Assistant Vice President: $130,000-$150,000
Associate: $112,000-$162,000
Manager: $160,000
Vice President: $164,000-$210,000
UBS
According to a note written by the bank earlier this year, UBS believes that the AI boom is just getting started and will buoy technology stocks for the rest of the decade."AI could arguably be the tech theme of the decade, as we don't see similar growth profiles elsewhere," Solita Marcelli, chief investment officer of UBS Global Wealth Management, wrote in the note.
Less has been reported on the bank's internal AI operations. During the company's annual general meeting in April, the first since UBS closed on its deal to acquire Credit Suisse, the only mention of AI came from the chairman of the Credit Suisse Staff Association, who noted that AI could be a challenge to creating sustainable jobs, and urged caution with current restructuring plans.
UBS sought to hire 11 data-science workers via the visa program in 2023. The highest-paid role was for a data-science director at $190,000, though another request was issued for the same role at $170,000. BI was unable to find open job listings matching the titles below.
Associate Director, Engineer, STAAT Data Science: $170,000
Associate Director, Engineer, STAAT Insights: $150,000
Associate Director, Senior Data Scientist: $145,000
Director, Data Scientist: $142,500-$190,000
Employee, Investment Data Scientist: $110,000
Executive Director, Fixed Income Algorithmic Trading-Credit: $275,000
GWM Quantitative Analytics & Data Science Specialist: $132,000
Quantitative Analytics and Data Science Specialist: $105,000