lead software engineer| risk data platform & strategy

application development technology sr. lead analyst, senior vice president

genai solutions architect lead engineer vice president

2026 global financial crimes and compliance internship (commercial & investment bank) – emerging talent summer experience program

data engineer, vice president Jobs in Jersey City

data engineer, vice president

director, quant data engineering Jobs in Jersey City

director, quant data engineering

lead software engineer| risk data platform & strategy Jobs in Jersey City

sr. data engineer

test engineer

data engineer

First Soft Solutions LLC

<div>
 
 Data Engineer (Financial Services &ndash; Enterprise Data Platform)
 
 
 
 Location: [Onsite / Hybrid / Remote]
 
 
 Employment Type:
 
 Full-Time (W2 Only)
 
 
 
 
 No Corp-to-Corp (C2C)
 
 
 
 
 About The Role
 
 
 
 We are seeking a
 
 Data Engineer
 
 with strong experience in
 
 Oracle and Hadoop ecosystems
 
 to support large-scale
 
 data platforms within a financial services environment
 
 . This role focuses on building and optimizing
 
 high-performance data pipelines
 
 , enabling
 
 data integration, analytics, and regulatory reporting
 
 across enterprise systems.
 
 
 You will work in a
 
 highly regulated environment
 
 , ensuring data solutions meet
 
 security, governance, and compliance standards
 
 .
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, and maintain data pipelines using Oracle and Hadoop technologies
 </li>
 <li>
 Build and optimize ETL/ELT processes for large-scale structured and unstructured data
 </li>
 <li>
 Work with Hadoop ecosystem tools (Hive, Spark, HDFS, Sqoop, etc.)
 </li>
 <li>
 Develop and optimize SQL/PLSQL queries, stored procedures, and performance tuning
 </li>
 <li>
 Integrate data from multiple sources including transactional systems, data warehouses, and external feeds
 </li>
 <li>
 Ensure data quality, consistency, and governance across platforms
 </li>
 <li>
 Support data migration, transformation, and data modeling activities
 </li>
 <li>
 Collaborate with business and analytics teams to deliver data-driven solutions
 </li>
 <li>
 Ensure compliance with financial regulations, audit requirements, and data security standards
 
 
 </li>
 </ul>
 
 Required Skills
 
 
 
 <ul>
 <li>
 5+ years of experience in data engineering / big data development
 </li>
 <li>
 Strong expertise in Oracle (SQL, PL/SQL, performance tuning)
 </li>
 <li>
 Hands-on experience with Hadoop ecosystem (Hive, Spark, HDFS, MapReduce)
 </li>
 <li>
 Experience building ETL/ELT pipelines and data integration workflows
 </li>
 <li>
 Strong knowledge of data modeling and data warehousing concepts
 </li>
 <li>
 Experience working in enterprise environments (financial services preferred)
 </li>
 <li>
 Understanding of data governance, security, and compliance requirements
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with cloud platforms (AWS, Azure, GCP)
 </li>
 <li>
 Experience with data streaming tools (Kafka, Flink)
 </li>
 <li>
 Familiarity with data lake / lakehouse architectures
 </li>
 <li>
 Experience with Informatica, Talend, or similar ETL tools
 </li>
 <li>
 Exposure to regulatory reporting and financial datasets
 
 
 </li>
 </ul>
 
 Interested Candidates
 
 
 
 
 Please Share Your Updated Resume Along With
 
 
 
 <ul>
 <li>
 Full Name
 </li>
 <li>
 Contact Number
 </li>
 <li>
 Email ID
 </li>
 <li>
 Current Location
 </li>
 <li>
 Work Authorization
 </li>
 <li>
 Total Years of Experience
 </li>
 <li>
 Availability to Start
 </li>
 <li>
 Expected Salary
 </li>
 </ul>
</div>

Sr. Data Engineer

Information Technology Senior Management Forum

<div><div>Posted Date
4/15/2026
</div><div>Description
<div>Senior data engineering role delivering large-scale data integration solutions across CRM ecosystems using ETL tooling, Python automation, and advanced SQL/NoSQL capabilities.<h4 class="jobSectionHeader">
Position Summary:</h4>
The Vice President, Technology (Data Engineer) will lead the design and delivery of enterprise-grade data integration solutions supporting CRM and Analytics platforms. This role requires deep hands-on expertise in ETL/ELT engineering, Python scripting for automation and data loads, and exceptional proficiency across both relational (SQL) and non-relational (NoSQL) data technologies. The successful candidate will partner with architecture, application, and business teams to build reliable, secure, and scalable pipelines that enable analytics, operational reporting, and downstream system integration.<h4 class="jobSectionHeader">
Key Responsibilities:</h4><ul><li>
Data integration delivery: Design, build, and operate robust batch and near-real-time integration pipelines for CRM data domains (e.g., customers, products, orders, invoices, service interactions).</li><li>
ETL/ELT engineering: Develop and optimize workflows using enterprise ETL tools; establish reusable patterns for ingestion, transformation, and publish layers.</li><li>
Python engineering: Build Python-based utilities and frameworks for data loads, automation, validation, reconciliation, and operational tooling.</li><li>
SQL excellence: Write and tune complex SQL (query optimization, indexing strategy awareness, incremental loads, CDC patterns, and performance troubleshooting).</li><li>
NoSQL competence: Apply non-relational data modeling and query patterns where appropriate (document/columnar/key-value/graph), including performance and consistency considerations.</li><li>
Data quality and controls: Implement validation rules, error handling, auditability, and reconciliation controls; create monitoring/alerting to meet SLAs/SLOs.</li><li>
Architecture and design: Contribute to system architecture and integration design decisions (data contracts, schemas, idempotency, versioning, resiliency).</li><li>
Security and compliance: Ensure data pipelines follow security best practices (encryption, access control, secrets management) and align with retention and privacy requirements.</li><li>
Collaboration: Work closely with CRM application teams, enterprise architects, and analytics consumers to align on data definitions and delivery priorities.</li><li>
Operational ownership: Participate in release planning, production support, incident triage, and continuous improvement to enhance reliability and reduce run-time cost.</li></ul><h4 class="jobSectionHeader">
Required Qualifications:</h4><ul><li>
6-10 years of experience in data engineering, data integration, or platform engineering with a focus on large enterprise programs.</li><li>
Proven track record delivering data integration for ERP and/or CRM platforms in complex environments.</li><li>
Strong hands-on experience with one or more enterprise ETL/ELT tools (e.g., Informatica, DataStage, SSIS, Talend, Azure Data Factory, Matillion, dbt or similar).</li><li>
Advanced Python skills for data processing, automation, and scripting (packaging, logging, error handling, and testing discipline).</li><li>
Expert-level SQL skills, including performance tuning and data warehousing concepts (dimensional modeling awareness a plus).</li><li>
Working knowledge of NoSQL concepts and at least one NoSQL technology (implementation experience preferred).</li><li>
Strong understanding of data pipeline fundamentals: incremental loading, late-arriving data, schema evolution, and end-to-end observability.</li><li>
Ability to communicate clearly with both technical and non-technical stakeholders; strong documentation and design skills.</li></ul><h4 class="jobSectionHeader">
Preferred Qualifications:</h4><ul><li>
Experience with streaming/event-driven data integration (e.g., Kafka or similar) and CDC-based ingestion patterns.</li><li>
Experience with cloud data platforms and modern lakehouse/warehouse ecosystems.</li><li>
Knowledge of data governance practices (metadata, lineage, data quality frameworks).</li><li>
Experience implementing DevOps practices for data engineering (CI/CD for pipelines, infrastructure-as-code, automated testing).</li></ul><h4 class="jobSectionHeader">
Core Competencies:</h4><ul><li>
Engineering rigor: Writes maintainable, testable code and designs resilient systems.</li><li>
Problem solving: Diagnoses data issues quickly and drives root-cause resolution.</li><li>
Ownership mindset: Takes accountability for production outcomes and operational reliability.</li><li>
Partnership: Collaborates effectively across application, architecture, and business teams.</li></ul>
-
Job Family Group:
Technology
-
Job Family:
Applications Development
-
Time Type:
Full time
-
Primary Location:
Jersey City New Jersey United States
-
Primary Location Full Time Salary Range:
$142,320.00 - $213,480.00 
In addition to salary, Citi&rsquo;s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental &amp; vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
-
Most Relevant Skills
Please see the requirements listed above.
-
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
-
Anticipated Posting Close Date:
Jun 15, 2026
-
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&rsquo;s EEO Policy Statement and the Know Your Rights poster.</div>
</div><div>Salary
142,320.00 - 213,480.00 Annual
</div><div></div><div><div>Type<div>
Full-time</div></div></div></div>

Data Engineer, Vice President

Citi

<div><div><div>Job Req Id:</div>
<div>26953080</div>
</div><div><div>Location(s):</div>
<div>Jersey City, New Jersey, United States</div>
</div><div><div>Job Type:</div>
<div>Hybrid</div>
</div><div><div>Posted:</div>
<div>Apr. 15, 2026</div></div></div>
 <div><h2 class="jobSectionHeader">Discover your future at Citi</h2>
Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you&rsquo;ll have the opportunity to grow your career, give back to your community and make a real impact.
<h2 class="jobSectionHeader">Job Overview</h2>
Senior data engineering role delivering large-scale data integration solutions across CRM ecosystems using ETL tooling, Python automation, and advanced SQL/NoSQL capabilities.<h3 class="jobSectionHeader">
Position Summary:</h3>
The Vice President, Technology (Data Engineer) will lead the design and delivery of enterprise-grade data integration solutions supporting CRM and Analytics platforms. This role requires deep hands-on expertise in ETL/ELT engineering, Python scripting for automation and data loads, and exceptional proficiency across both relational (SQL) and non-relational (NoSQL) data technologies. The successful candidate will partner with architecture, application, and business teams to build reliable, secure, and scalable pipelines that enable analytics, operational reporting, and downstream system integration.<h3 class="jobSectionHeader">
Key Responsibilities:</h3><ul><li>
Data integration delivery: Design, build, and operate robust batch and near-real-time integration pipelines for CRM data domains (e.g., customers, products, orders, invoices, service interactions).</li><li>
ETL/ELT engineering: Develop and optimize workflows using enterprise ETL tools; establish reusable patterns for ingestion, transformation, and publish layers.</li><li>
Python engineering: Build Python-based utilities and frameworks for data loads, automation, validation, reconciliation, and operational tooling.</li><li>
SQL excellence: Write and tune complex SQL (query optimization, indexing strategy awareness, incremental loads, CDC patterns, and performance troubleshooting).</li><li>
NoSQL competence: Apply non-relational data modeling and query patterns where appropriate (document/columnar/key-value/graph), including performance and consistency considerations.</li><li>
Data quality and controls: Implement validation rules, error handling, auditability, and reconciliation controls; create monitoring/alerting to meet SLAs/SLOs.</li><li>
Architecture and design: Contribute to system architecture and integration design decisions (data contracts, schemas, idempotency, versioning, resiliency).</li><li>
Security and compliance: Ensure data pipelines follow security best practices (encryption, access control, secrets management) and align with retention and privacy requirements.</li><li>
Collaboration: Work closely with CRM application teams, enterprise architects, and analytics consumers to align on data definitions and delivery priorities.</li><li>
Operational ownership: Participate in release planning, production support, incident triage, and continuous improvement to enhance reliability and reduce run-time cost.</li></ul><h3 class="jobSectionHeader">
Required Qualifications:</h3><ul><li>
6-10 years of experience in data engineering, data integration, or platform engineering with a focus on large enterprise programs.</li><li>
Proven track record delivering data integration for ERP and/or CRM platforms in complex environments.</li><li>
Strong hands-on experience with one or more enterprise ETL/ELT tools (e.g., Informatica, DataStage, SSIS, Talend, Azure Data Factory, Matillion, dbt or similar).</li><li>
Advanced Python skills for data processing, automation, and scripting (packaging, logging, error handling, and testing discipline).</li><li>
Expert-level SQL skills, including performance tuning and data warehousing concepts (dimensional modeling awareness a plus).</li><li>
Working knowledge of NoSQL concepts and at least one NoSQL technology (implementation experience preferred).</li><li>
Strong understanding of data pipeline fundamentals: incremental loading, late-arriving data, schema evolution, and end-to-end observability.</li><li>
Ability to communicate clearly with both technical and non-technical stakeholders; strong documentation and design skills.</li></ul><h3 class="jobSectionHeader">
Preferred Qualifications:</h3><ul><li>
Experience with streaming/event-driven data integration (e.g., Kafka or similar) and CDC-based ingestion patterns.</li><li>
Experience with cloud data platforms and modern lakehouse/warehouse ecosystems.</li><li>
Knowledge of data governance practices (metadata, lineage, data quality frameworks).</li><li>
Experience implementing DevOps practices for data engineering (CI/CD for pipelines, infrastructure-as-code, automated testing).</li></ul><h3 class="jobSectionHeader">
Core Competencies:</h3><ul><li>
Engineering rigor: Writes maintainable, testable code and designs resilient systems.</li><li>
Problem solving: Diagnoses data issues quickly and drives root-cause resolution.</li><li>
Ownership mindset: Takes accountability for production outcomes and operational reliability.</li><li>
Partnership: Collaborates effectively across application, architecture, and business teams.</li></ul>
-
Job Family Group:
Technology
-
Job Family:
Applications Development
-
Time Type:
Full time
-
Primary Location:
Jersey City New Jersey United States
-
Primary Location Full Time Salary Range:
$142,320.00 - $213,480.00 
In addition to salary, Citi&rsquo;s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental &amp; vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
-
Most Relevant Skills
Please see the requirements listed above.
-
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
-
Anticipated Posting Close Date:
Jun 15, 2026
-
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&rsquo;s EEO Policy Statement and the Know Your Rights poster.</div>

Fidelity Investments

<div><h3 class="jobSectionHeader">Job Description:</h3>
The Role
Asset Management Technology (AMT) provides worldwide technology and support to all the Investment Management, Research, Trading and Investment Operations functions. We are seeking a Quant Data Engineer to join our Quantitative Research &amp; Investing Technology team. You will be responsible for database engineering aspects of software development, testing and ensuring compatibility with enterprise and solutions architecture by harnessing modern development technologies. You will have the chance to define and develop new capabilities and engage with multiple development teams and partners across the Asset Management technology. You are committed to ongoing development of your own expertise and knowledge to bring the latest capabilities and thinking to your team to empower others with that knowledge. This role will be responsible for designing, developing, and optimizing Oracle PL/SQL-based solutions that power critical risk analytics and reporting workflows.
As the database lead, you will own the full lifecycle of database development and collaborate closely with both business stakeholders and technical partners. You will play a key role in shaping the data design, ensuring performance and scalability, and driving strategic improvements across our risk infrastructure.
The Responsibilities You Will Have:<ul><li>
Lead the design and development of Oracle PL/SQL database processes, procedures, and packages to support investment risk analytics.</li><li>
Architect scalable and efficient database solutions for high-volume, time-sensitive risk data.</li><li>
Collaborate with risk managers, quantitative analysts, and engineering teams to gather requirements and deliver robust data solutions.</li><li>
Own performance tuning, query optimization, and troubleshooting of production database issues.</li><li>
Ensure data integrity, quality, and governance across systems.</li><li>
Drive modernization efforts, including migration from legacy systems and adoption of best practices.</li><li>
Define and enforce database development standards and documentation.</li><li>
Act as a strategic partner in planning long-term data architecture and infrastructure initiatives.</li><li>
Apply validated quality software engineering practices through all phases of development.</li><li>
Ensure resilience and stability through quality code reviews, unit, regression and user acceptance testing, dev ops and level two production support</li><li>
Provide mentorship and technical guidance to junior developers.</li></ul>
The Expertise and Skills You Bring:<ul><li>
10+ years of hands-on experience in Oracle PL/SQL development and database engineering.</li><li>
Proven expertise in designing and implementing complex database solutions in a production environment.</li><li>
Strong understanding of relational database design, indexing strategies, and performance optimization.</li><li>
Experience working with investment risk systems or financial data is highly preferred.</li><li>
Excellent communication and stakeholder management skills.</li><li>
Ability to lead cross-functional initiatives and work independently.</li><li>
Familiarity with tools such as Jira, Git, and CI/CD pipelines.</li><li>
Experience with data modeling and ETL frameworks.</li><li>
Exposure to Python or other scripting languages for data integration.</li><li>
Knowledge of cloud-based database solutions (e.g., AWS RDS, Snowflake) is a plus.</li><li>
Understanding of financial instruments, risk models, or portfolio analytics is beneficial.</li></ul>
The base salary range for this position is $126,000-255,000 USD per year.
Placement in the range will vary based on job responsibilities and scope, geographic location, candidate&rsquo;s relevant experience, and other factors.
Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.
We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted.
Please be advised that Fidelity&rsquo;s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.
Most roles at Fidelity are Hybrid, requiring associates to work onsite every other week (all business days, M-F) in a Fidelity office. This does not apply to Remote or fully Onsite roles. Please consult with your recruiter for the specific expectations for this position.<h3 class="jobSectionHeader">
Certifications:</h3><h3 class="jobSectionHeader">
Category:</h3>
Information Technology</div>

Director, Quant Data Engineering

JPMorganChase

<div>JOB DESCRIPTION 
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As a Lead Software Engineer at JPMorganChase within the Corporate - Risk Technology, you are an integral part of an agile Data Platform and Strategy Team driving the design, development, and delivery of advanced data engineering solutions and market-leading technology products. With a strong SRE mindset, you will champion reliability, scalability, and operational excellence across multiple technical domains, ensuring our systems are robust, secure, and resilient. You will lead critical technology initiatives, proactively address system reliability challenges, and foster a culture of continuous improvement and automation, supporting the firm&rsquo;s business objectives through innovative engineering leadership
Job responsibilities
<ul><li>Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
</li><li>Develops secure high-quality production code for data-intensive applications, and reviews and debugs code written by others
</li><li>Drives the implementation of SRE best practices, including automated monitoring, alerting, and self-healing mechanisms to ensure high availability and reliability of data platforms
</li><li>Leads root cause analysis and post-incident reviews, collaborating with other engineering team members to develop long-term solutions that prevent recurrence and improve system resiliency
</li><li>Mentors and guides other engineering team members in adopting SRE principles, fostering a culture of reliability, automation, and continuous improvement
</li><li>Collaborate with product, engineering, and operations teams to define and measure service level objectives (SLOs), service level indicators (SLIs), and error budgets
</li><li>Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
</li><li>Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
</li><li>Adds to team culture of diversity, opportunity, inclusion, and respect</li></ul> 
Required qualifications, capabilities, and skills
<ul><li>Formal training or certification on software engineering concepts and 5+ years applied experience</li><li>
Proficiency in Engineering &amp; Architecture, AI/ML with hands-on experience in designing, implementing, testing, and ensuring the operational stability of large-scale enterprise data platforms and solutions
</li><li>Demonstrated expertise in applying SRE principles to drive reliability engineering, automation, and operational excellence within complex technical environment
</li><li>Deep understanding of distributed systems, cloud-native architectures, and large-scale data processing, with hands-on expertise in Java, Python, and big data technologies (e.g., Spark/PySpark, Databricks, Snowflake)
</li><li>Hands-on practical experience delivering system design, application development, testing, and operational stability
</li><li>Experience in developing, debugging, and maintaining code (preferably in a large corporate environment) with one or more modern programming languages and database querying languages with good overlap of application &amp; DB.
</li><li>Strong background in observability tools (e.g., Dynatrace, Splunk, Grafana), incident management, and performance optimization
</li><li>Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
</li></ul>Preferred qualifications, capabilities, and skills
<ul><li>Proficiency in automation, continuous delivery methods and all aspects of the Software Development Life Cycle
</li><li>Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g. data engineering, cloud, artificial intelligence, machine learning, mobile, etc.)
</li><li>Experience with modern data technologies such as Databricks or Snowflake. Experience in large scale data processing, using micro services, API design, Kafka, Redis, MemCached, Observability (Dynatrace , Splunk, Grafana or similar), Orchestration (Airflow, Temporal)
</li><li>Knowledge of the financial services industry and their IT systems
</li></ul>ABOUT US 
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><div>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
<div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans 
</div></div></div> 
 
ABOUT THE TEAM 
 
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we&rsquo;re setting our businesses, clients, customers and employees up for success.</div>

Lead Software Engineer| Risk Data Platform & Strategy

Test Engineer

<div><div>Posted Date
4/13/2026
</div><div>Description
<div>Overview of the Role:
Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments, and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management.
As a bank with a brain and a soul, Citi creates economic value that is systemically responsible and in our clients&rsquo; best interests. As a financial institution that touches every region of the world and every sector that shapes your daily life, our Enterprise Operations &amp; Technology teams are charged with a mission that rivals any large tech company. Our technology solutions are the foundations of everything we do from keeping the bank safe, managing global resources, and providing the technical tools our workers need to be successful to designing our digital architecture and ensuring our platforms provide a first-class customer experience. We reimagine client and partner experiences to deliver excellence through secure, reliable, and efficient services.
Our commitment to diversity includes a workforce that represents the clients we serve from all walks of life, backgrounds, and origins. We foster an environment where the best people want to work. We value and demand respect for others, promote individuals based on merit, and ensure opportunities for personal development are widely available to all. Ideal candidates are innovators with well-rounded backgrounds who bring their authentic selves to work and complement our culture of delivering results with pride. If you are a problem solver who seeks passion in your work, come join us. We&rsquo;ll enable growth and progress together.
The GenAI Solutions Architect/Lead Engineer is a senior level position responsible for establishing and implementing new or revised GenAI application systems and programs in coordination with the Technology team. The overall objective of this role is to be highly hands-on with a capacity to manage the team for applications systems analysis and programming activities.
We are seeking a highly skilled and motivated GenAI Solutions Architect/Lead Engineer to join our dynamic team supporting Finance. This role will focus on developing and implementing cutting-edge AI/ML solutions, including Generative AI, for various financial applications. The ideal candidate will possess a strong understanding of machine learning algorithms, statistical modeling techniques, and experience working with large datasets. Proven real-world experience implementing GenAI solutions, particularly those involving Large Language Models (LLMs), Retrieval Augmented Generation (RAG) implementations, and chatbot development for both structured and unstructured data, is essential. Experience with Citi applications and systems is highly desired. This role offers the potential for growth into a leadership position.
Responsibilities:<ul><li>
Highly Hands-on GenAI Development: Actively design, develop, and implement complex AI/ML models and algorithms, with a strong focus on Generative AI techniques (e.g., LLMs, GANs, VAEs) for financial applications. This includes hands-on coding, prototyping, and deploying GenAI solutions.</li><li>
RAG Implementation Expertise: Lead the design and implementation of Retrieval Augmented Generation (RAG) systems to enhance the accuracy and contextuality of GenAI outputs, particularly in handling financial data and domain-specific queries.</li><li>
Chatbot Development (Structured &amp; Unstructured Data): Design, develop, and deploy intelligent chatbot solutions capable of interacting with users across both structured data sources (e.g., databases, APIs) and unstructured data (e.g., documents, emails, free text). This includes leveraging GenAI for natural language understanding and generation in complex conversational flows.</li><li>
Document Processing &amp; OCR Integration: Implement solutions for processing and extracting information from documents, including integrating Optical Character Recognition (OCR) technologies to handle scanned documents and images, making their content available for GenAI models.</li><li>
Dynamic SQL Generation using LLM: Develop and deploy solutions leveraging Large Language Models to dynamically generate SQL queries from natural language requests, facilitating data access and analysis from structured databases.</li><li>
Python Development &amp; Ecosystem Mastery: Utilize advanced Python programming skills to build, optimize, and deploy GenAI solutions. This includes extensive experience with relevant Python packages (e.g., PyTorch, TensorFlow, Hugging Face Transformers, LangChain, LlamaIndex, scikit-learn, pandas, numpy, FastAPI).</li><li>
Large Language Model (LLM) Application: Deep practical experience with various LLM architectures, fine-tuning, prompt engineering, and their application to solve complex financial challenges like natural language understanding, text generation, summarization, and question answering.</li><li>
Data Analysis &amp; Feature Engineering: Analyze large, complex datasets, identify intricate patterns, and extract actionable insights, leveraging GenAI capabilities where appropriate for data augmentation or synthetic data generation.</li><li>
Data Pipeline Development: Build and maintain robust, scalable data pipelines for data ingestion, processing, and transformation, specifically optimizing for the unique requirements of GenAI model training and inference.</li><li>
Cross-Functional Collaboration: Partner with multiple management teams and business stakeholders to understand requirements, translate them into technical solutions, and incorporate GenAI possibilities into the discussion, ensuring appropriate integration of functions to meet goals.</li><li>
System Enhancements &amp; Architecture: Identify and define necessary system enhancements to deploy new GenAI products and process improvements. Ensure application design adheres to the overall architecture blueprint, integrating GenAI components seamlessly.</li><li>
Problem Resolution: Resolve a variety of high-impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards, applying GenAI where it can offer innovative solutions.</li><li>
Tool &amp; Technology Evaluation: Evaluate and select appropriate AI/ML tools and technologies, including specialized GenAI frameworks, libraries, and cloud AI services (e.g., AWS SageMaker, Azure ML, Google AI Platform).</li><li>
Documentation &amp; Monitoring: Develop and maintain comprehensive documentation for AI/ML models and systems, specifically addressing GenAI implementations. Manage and monitor the performance, efficiency, and reliability of deployed AI/ML models, including evaluating the effectiveness of GenAI components in production.</li><li>
Mentorship &amp; Leadership: Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary and fostering a culture of innovation and continuous learning in GenAI.</li><li>
Risk Assessment: Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency, especially concerning responsible AI and GenAI ethics.</li></ul>
Qualifications:<ul><li>
Experience: 6+ years of relevant experience in Apps Development or systems analysis role, with a significant portion dedicated to AI/ML and demonstrable hands-on experience in designing, building, and deploying real-world Generative AI solutions.
</li><li>Technical Proficiency:<ul><li>
Extensive experience in system analysis and in programming of software applications, with deep expertise in Python for AI/ML development.</li><li>
Proven mastery of Large Language Models (LLMs), including experience with various open-source and proprietary models, fine-tuning techniques, and deployment strategies.</li><li>
Hands-on experience with Retrieval Augmented Generation (RAG) implementations, including vector databases (e.g., Pinecone, FAISS, ChromaDB), embedding models, and efficient retrieval mechanisms.</li><li>
Strong experience in chatbot development, particularly in building conversational AI systems that interact with both structured and unstructured data sources.</li><li>
Experience with document processing, information extraction, and OCR technologies for integrating unstructured data into GenAI workflows.</li><li>
Proficiency in leveraging LLMs for dynamic SQL generation and natural language to code tasks.</li><li>
Proficiency with key Python AI/ML libraries and frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, LangChain, LlamaIndex, scikit-learn, pandas, and numpy.</li><li>
Experience with MLOps practices, version control (Git), and collaborative development environments.</li></ul></li><li>
Project Management: Experience in managing and implementing successful projects; demonstrated leadership and project management skills within an agile development framework.</li><li>
Subject Matter Expertise: Subject Matter Expert (SME) in at least one area of Applications Development or AI/ML domain, with a strong understanding of financial services concepts preferred.</li><li>
Adaptability: Ability to adjust priorities quickly as circumstances dictate in a fast-paced environment.</li><li>
Communication: Consistently demonstrates clear and concise written and verbal communication, capable of articulating complex technical concepts to both technical and non-technical stakeholders.</li></ul>
Education:<ul><li>
Bachelor&rsquo;s degree/University degree in Computer Science, Engineering, Data Science, or a related quantitative field, or equivalent experience.</li><li>
Master&rsquo;s degree or Ph.D. prefer</li></ul>
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Job Family Group:
Technology
-
Job Family:
Digital Software Engineering
-
Time Type:
Full time
-
Primary Location:
Jersey City New Jersey United States
-
Primary Location Full Time Salary Range:
$157 040,00 - $235 560,00 
In addition to salary, Citi&rsquo;s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental &amp; vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
-
Most Relevant Skills
Please see the requirements listed above.
-
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
-
Anticipated Posting Close Date:
abr 17, 2026
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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&rsquo;s EEO Policy Statement and the Know Your Rights poster.</div>
</div><div>Salary
157.00 Hour
</div><div></div><div><div>Type<div>
Full-time</div></div></div></div>

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