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Head of Applied AI Engineering – Investment Banking - Director

Citigroup

Head of Applied AI Engineering – Investment Banking - Director

Citigroup

London, United Kingdom

·

On-site

·

Full-time

·

4w ago

필수 스킬

Machine Learning

Engineer the future of global finance. At Citi, our Tech team doesn’t just support finance – we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech.

Role Summary We are seeking a visionary and hands-on Head of Applied AI Engineering to lead the design, development, and deployment of AI-driven solutions for our Banking division, covering Investment (ECM, DCM, M&A), Corporate and Commercial Banking. This role will bridge the front office and advanced technology, bringing intelligent automation and data-driven decision-making into the heart of dealmaking.

The ideal candidate will combine deep AI engineering expertise with a strong understanding of the investment banking ecosystem, business workflows, and secure enterprise-scale deployment.

Key Responsibilities:

  • Strategic AI Leadership - Partner with senior bankers and business leads to identify high-impact AI opportunities across deal origination, client intelligence, market analysis, and pitch automation. Develop and execute the AI engineering roadmap aligned to Banking tech strategy and enterprise architecture.
  • **AI Engineering & Architecture -**Lead the design and development of scalable AI systems using LLMs, NLP, knowledge graphs, and machine learning pipelines. Architect secure, compliant AI solutions that integrate with market data, CRM, internal knowledge bases, and document repositories.
  • Data Strategy - Drive integration of structured (e.g., financial data, CRM) and unstructured (e.g., filings, call transcripts, news) data to enable advanced insights. Oversee data engineering and ML feature pipelines in collaboration with data teams.
  • Productization & Delivery - Convert proofs-of-concept into scalable, enterprise-grade tools. Embed AI solutions into banker workflows via co-pilots, dashboards, and smart document assistants.
  • Governance & Compliance - Ensure all AI systems meet internal standards for explain ability, fairness, and compliance with regulatory obligations. Collaborate with risk, legal, and compliance teams on AI model governance.
  • **Team Building & Leadership -**Build and lead a high-performing team of AI engineers, ML specialists, and applied data scientists. Foster a culture of innovation, delivery excellence, and business alignment.

Qualifications:

Must-Have Skills & Experience:

  • Significant proven data science / AI engineering experience, with multiple years leading teams in financial services or enterprise environments.
  • Demonstrated success building AI applications in investment banking, asset management, or capital markets domains.
  • Deep expertise in ML, NLP, LLMs, retrieval-augmented generation (RAG), embeddings, and modern MLOps practices.
  • Strong experience working with both structured financial datasets and unstructured data sources (e.g., filings, call transcripts, research).
  • Familiarity with front-office workflows in ECM, DCM, M&A, and investment research.
  • Experience deploying AI solutions in secure, high-compliance environments (on-premise, hybrid cloud, or private cloud).
  • Strong communication and stakeholder management skills, especially with senior bankers and C-level executives.

Preferred

  • Experience with knowledge graphs and graph-based search.
  • Familiarity with tools like Bloomberg, Refinitiv, Capital IQ, Fact Set, Pitch Book.
  • Prior work on AI co-pilots, document summarization tools, or automated pitch generation.
  • Exposure to enterprise CRM systems and client intelligence platforms.
  • Advanced degree in Computer Science, AI, Applied Mathematics, or related quantitative field.

What Success Looks Like

  • AI tools embedded into daily workflows of bankers and analysts.
  • Reduction in manual effort across client targeting, pitch preparation, and market monitoring.
  • Data assets and ML models fully aligned with enterprise governance and architecture.
  • Scalable AI platform that evolves with the pace of the business and innovation.

Why Join Us?Shape the future of investment banking with cutting-edge AI.
Work at the intersection of technology, capital markets, and innovation.
High visibility and impact across the front office and C-suite.
Access to world-class data, partners, and AI infrastructure.

What we’ll provide you

By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as:

  • 27 days annual leave (plus bank holidays)
  • A discretional annual performance related bonus
  • Private Medical Care & Life Insurance
  • Employee Assistance Program
  • Pension Plan
  • Paid Parental Leave
  • Special discounts for employees, family, and friends
  • Access to an array of learning and development resources

Visit our Global Benefits page to learn more.

Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive.

Job Family Group:

Technology

Job Family:

Business Analysis / Client Services

Time Type:

Full time

Most Relevant Skills

Please see the requirements listed above.

Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.

View Citi’s EEO Policy Statement and the Know Your Rights poster.

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Citigroup 소개

Citigroup

Citigroup

Public

Citigroup Inc. or Citi is an American multinational investment bank and financial services company based in New York City. The company was formed in 1998 by the merger of Citicorp, the bank holding company for Citibank, and Travelers; Travelers was spun off from the company in 2002.

10,001+

직원 수

New York City

본사 위치

$86B

기업 가치

리뷰

3.7

10개 리뷰

워라밸

4.0

보상

2.8

문화

4.2

커리어

3.5

경영진

3.3

68%

친구에게 추천

장점

Good work-life balance

Supportive management and colleagues

Good benefits

단점

Low/uncompetitive salary and pay

Poor management and lack of direction

Heavy workload and long hours

연봉 정보

38개 데이터

Mid/L4

Senior/L5

Mid/L4 · BUSINESS ANALYTICS SENIOR ANALYST

3개 리포트

$117,000

총 연봉

기본급

$120,800

주식

-

보너스

-

$117,000

$117,000

면접 경험

3개 면접

난이도

3.3

/ 5

소요 기간

14-28주

경험

긍정 0%

보통 33%

부정 67%

면접 과정

1

Application Review

2

HR Screen

3

Technical Assessment

4

Hiring Manager Interview

5

Final Round Interview

6

Offer Decision

자주 나오는 질문

Technical Knowledge

Behavioral/STAR

Past Experience

Problem Solving

Culture Fit