Java Engineering Lead, Vice President | London, UK

Citi
London
6 days ago
Create job alert

Come, work with us!

All potential candidates should read through the following details of this job with care before making an application.Citi, the world leading global bank, has approximately 200 million customer accounts and a presence in more than 160 countries and jurisdictions worldwide. 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. Citi enables clients to achieve their strategic financial objectives by providing them with cutting-edge ideas, best-in-class products and solutions, and unparalleled access to capital and liquidity.

The Stress testing Team is responsible for delivering Stress testing related solutions to Citi's risk & finance organization which manages Citi's exposure to financial institutions, governments and corporates that trade with Citi. The team engineers, builds and maintains software used to compute metrics that help mitigate Citi's exposure to counterparty default & help meet regulations like CECL, GSST, IFRS9, and CCAR.

Who you are:You've got a positive energy. You are optimistic about the future and determined to get there.You appreciate open and direct communication. You are both an active communicator and an eager listener.You can switch context & pivot on the fly. This group is a horizontal organization, and regulations are constantly changing. What you worked on yesterday may not be what you work on today.You want to be part of a winning team. We build & grow with one another and you're a person who doesn't shy away from being pushed out of your comfort zone.You are often cited as inspiration for the engineers and even senior engineers feel that they can learn something from you.You have a "can do" attitude. We engineer & create high-quality software. Owning a problem doesn't scare you but rather empowers you to take 100% ownership.What will you do?

Lead team(s) of passionate engineers supporting multiple systems who take pride in customer satisfaction and ownership.Set up and maintain processes that empower the team to move quickly.Be hands-on in technical architecture and reviews, be a strong believer in servant leadership, and don't shy away from rolling up your sleeves.Independently own and drive multiple critical work streams, including vision/direction setting, overseeing overall planning and execution toward clear objectives with measurable key results.Establish and drive adoption of design and coding best practices within your team.Liaise with senior stakeholders across the Risk, Finance, and Front Office business organizations, and external Market Regulators to assemble and execute projects across the Capital spectrum.Mentor and guide the professional development of analysts & engineers on your team, and continuously improve software engineering practices.Strong written and oral presentation skills and presence.Collaborate with and across teams to design, build, and deliver high-quality software meeting and exceeding client needs.Basic Requirements

You are a hands-on engineering manager with extensive industry experience of engineering management.Experience managing individual contributors across all levels.Experience managing managers (engineering or product).BS or MS in Computer Science or related technical field or related experience.Graduate in STEM (Science, Technology, Engineering and Mathematics) or Finance disciplines.Broad experience in relational and document databases, data structures, caching, and reporting.Develop enterprise-grade applications using Java 8/JEE (and higher), No SQL, Spring, among other tools.A track record of managing and mentoring junior and senior engineers, preferably located across multiple time zones.Experience attracting and hiring top talents, including engineering leaders and software engineers.Proficient at working with large and complex code bases.Ability to be metrics/data-driven and have a bias for action and result delivery.Preferred Qualifications

Experience in the financial industry specifically in Credit Risk & Market Risk Capital domains.Technologies and tools: Java, Web/Restful service development, Angular, JSON, Python, SQL, Build tools.Experience in event-driven design of Microservices and 12-factor app development standards.Experience building modern enterprise applications and deploying to public or private clouds including AWS.Experience in distributed cache systems like Apache Ignite or Redis.Experience in big data platforms and technologies such as Hadoop, Hive, HDFS, Presto/Starburst, Spark, and Kafka.Experience in Spring Framework and Cloud Computing for both batch and real-time high-volume data processing.Experience in understanding complex SQLs and exposure to Database Design Concepts including Data Modeling, Logical/Conceptual Design.

Job Family Group:TechnologyJob Family:Applications DevelopmentTime Type:Full time

Citi is an equal opportunity and affirmative action employer. Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.#J-18808-Ljbffr

Related Jobs

View all jobs

Java Engineering Lead, Vice President

Engineering Lead / Integration Lead

Head of Software Engineering | £180k – Java, Machine Learning and Data Driven

Head of Software Engineering £180k - Java, Machine Learning and Data Driven

Manager, Engineering

Data Platform Lead Engineer (Platform Essentials and AI enablement)

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Top 10 Books to Advance Your Machine Learning Career in the UK

Machine learning (ML) remains one of the fastest-growing fields within technology, reshaping industries across the UK from finance and healthcare to e-commerce, telecommunications, and beyond. With increasing demand for ML specialists, job seekers who continually update their knowledge and skills hold a significant advantage. In this article, we've curated ten essential books every machine learning professional or aspiring ML engineer in the UK should read. Covering foundational theory, practical implementations, advanced techniques, and industry trends, these resources will equip you to excel in your machine learning career.

Navigating Machine Learning Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

Machine learning (ML) has swiftly become one of the most in-demand skill areas across industries, with companies leveraging predictive models and data-driven insights to solve challenges in healthcare, finance, retail, manufacturing, and beyond. Whether you’re an early-career data scientist aiming to break into ML, a seasoned engineer branching into deep learning, or a product manager exploring AI-driven solutions, machine learning career fairs offer a powerful route to connect with prospective employers face-to-face. Attending these events can help you: Network with hiring managers and technical leads who make direct recruitment decisions. Gain insider insights on the latest ML trends and tools. Learn about emerging job roles and new industry verticals adopting machine learning. Showcase your interpersonal and communication skills, both of which are increasingly important in collaborative AI/ML environments. However, with many applicants vying for attention in a bustling hall, standing out isn’t always easy. In this detailed guide, we’ll walk you through how to prepare meticulously, pitch yourself confidently, ask relevant questions, and follow up effectively to land the machine learning opportunity that aligns with your ambitions.

Common Pitfalls Machine Learning Job Seekers Face and How to Avoid Them

Machine learning has emerged as one of the most sought-after fields in technology, with companies across industries—from retail and healthcare to finance and manufacturing—embracing data-driven solutions at an unprecedented pace. In the UK, the demand for skilled ML professionals continues to soar, and opportunities in this domain are abundant. Yet, amid this growing market, competition for machine learning jobs can be fierce. Prospective employers set a high bar: they seek candidates with not just theoretical understanding, but also strong practical skills, business sense, and an aptitude for effective communication. Whether you’re a recent graduate, a data scientist transitioning into machine learning, or a seasoned developer pivoting your career, it’s essential to avoid common mistakes that may hinder your prospects. This blog post explores the pitfalls frequently encountered by machine learning job seekers, and offers actionable guidance on how to steer clear of them. If you’re looking for roles in this thriving sector, don’t forget to check out Machine Learning Jobs for the latest vacancies across the UK. In this article, we’ll break down these pitfalls to help you refine your approach in applications, interviews, and career development. By taking on board these insights, you can significantly enhance your employability, stand out from the competition, and secure a rewarding position in the world of machine learning.