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SG
SMBC Group.
Principal Engineer AI - Capital Markets
Career Insights for Data Scientist
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What they do
A Data Scientist utilizes skills and experience to systematically answer questions using data to provide actionable recommendations. Commonly utilizes advanced statistical analysis and machine learning techniques. Common responsibilities also include data cleaning and data management.
$108,445 / year median in North Carolina
+21% projected growth
Job Description
Principal Engineer AI -
Capital Markets Job Level:
Executive Director Job Function:
Change Management Location:
Charlotte, NC, US, 28202Employment Type:
Full Time Requisition ID:
8156 SMBC Group is a top-tier global financial group. Headquartered in Tokyo and with a 400-year history, SMBC Group offers a diverse range of financial services, including banking, leasing, securities, credit cards, and consumer finance. The Group has more than 130 offices and 80,000 employees worldwide in nearly 40 countries. Sumitomo Mitsui Financial Group, Inc. (SMFG) is the holding company of SMBC Group, which is one of the three largest banking groups in Japan. SMFG's shares trade on the Tokyo, Nagoya, and New York (NYSE:
SMFG) stock exchanges. In the Americas, SMBC Group has a presence in the US, Canada, Mexico, Brazil, Chile, Colombia, and Peru. Backed by the capital strength of SMBC Group and the value of its relationships in Asia, the Group offers a range of commercial and investment banking services to its corporate, institutional, and municipal clients. It connects a diverse client base to local markets and the organization's extensive global network. The Group's operating companies in the Americas include Sumitomo Mitsui Banking Corp. (SMBC), SMBC Nikko Securities America, Inc., SMBC Capital Markets, Inc., SMBCMANUBANK, JRI
America, Inc., SMBC Leasing and Finance, Inc., Banco Sumitomo Mitsui Brasileiro S.A., and Sumitomo Mitsui Finance and Leasing Co., Ltd. Role Description Own the end-to-end design and delivery of AI/ML and LLM-based solutions to enhance trading, risk, and client workflows across Fixed Income. Translate complex trade lifecycle processes (capture, P&L, risk, settlements, regulatory reporting) into intelligent, scalable solutions that drive automation, decision support, and business outcomes for front office stakeholders. Role Objectives Lead AI-Driven Transformation of FICC Front Office Platforms Own the design and delivery of AI/ML and LLM-based solutions that enhance trading, pricing, and risk workflows across the FICC business. Translate complex Fixed Income trade lifecycle processes into intelligent automation and decision-support capabilities that improve trader productivity, risk transparency, and client responsiveness within front office systems. Architect AI Capabilities within FICC Technology Ecosystem Define and implement scalable, cloud-native architectures that embed AI into core FICC platforms, including trading, market data, and risk systems. Ensure seamless integration with legacy infrastructure, enabling real-time data processing, cross-asset interoperability, and consistent data models across FICC businesses while maintaining performance, resilience, and regulatory alignment. Drive Engineering Leadership Across FICC Technology Teams Provide technical leadership across engineering teams within the FICC technology organization, partnering closely with trading desks, risk, and product leaders. Establish AI engineering standards, promote reuse of platforms and services, and ensure alignment of AI initiatives to FICC business priorities, revenue drivers, and regulatory commitments. Qualifications and Skills- 12+ years of hands-on experience in software engineering, with strong expertise in Fixed Income and Capital Markets front office systems.
- Proven experience designing and implementing AI/ML or LLM-based solutions, including agentic architectures, RAG pipelines, and natural language interfaces.
- Deep understanding of trade lifecycle processes including trade capture, risk/P&L, settlements, and regulatory reporting (e.g., Dodd-Frank, SDR).
- Strong proficiency in Python and modern AI frameworks such as LangChain, Vertex AI, or similar platforms for enterprise AI solution delivery.
- Expertise in enterprise architecture patterns, including microservices, messaging systems (e.g., Solace, MQ), and cloud-native development.
- Demonstrated ability to design scalable data pipelines involving ingestion, transformation, and harmonization across multiple front office systems.
- Experience integrating AI solutions into legacy financial ecosystems, with a focus on automation of workflows, exception handling, and operational efficiency.
- Strong leadership skills, with experience guiding engineering teams and collaborating with trading desks, risk teams, and business stakeholders.
- Excellent problem-solving and communication skills, with the ability to translate complex financial and technical concepts into actionable solutions.