data engineer

data scientist

senior data scientist

data science manager

senior analytics engineer

ccor data analytics product manager vice president

JPMorganChase

<div>JOB DESCRIPTION 
 
 
The Compliance, Conduct and Operational Risk (CCOR) Data Analytics team is part of the firm's CCOR organization within the second line of defense. CCOR is responsible for the design and execution of the CCOR program, which consists of the second line of defense's responsibilities in managing the firm's Compliance, Conduct, and Operational Risk. The Data Analytics team works with CCOR functional groups to deliver solutions designed to facilitate data-driven decision making and enable proactive risk management.
This role blends product management, business analysis, and project management responsibilities to deliver strategic capabilities to the CCOR community.
As a Vice President within CCOR Data Analytics, you will report to the EMEA lead for CCOR Data Analytics and partner with Compliance &amp; Operational Risk, Technology, and cross-functional stakeholders to drive the technology innovation agenda, ensuring alignment with firmwide strategic platforms.<h2 class="jobSectionHeader">
Job Responsibilities</h2><ul><li>
Own and drive the product vision, roadmap, and strategy for CCOR data/analytics capabilities, ensuring alignment with regulatory expectations and business objectives</li><li>
Partner with Compliance, First Line, Technology, Data Science, Operations, and other cross-functional stakeholders to gather, analyze, and translate requirements into actionable product features and user stories</li><li>
Drive innovation in methodologies by leveraging advanced analytics, technology, and industry best practices</li><li>
Identify and evaluate opportunities to apply AI/LLM-enabled capabilities (where appropriate) to improve decisioning, efficiency, control effectiveness, and user experience</li><li>
Influence key stakeholders throughout the product lifecycle (ideation/prototyping through delivery and adoption)</li><li>
Champion and apply Product Management and Agile practices where possible; manage backlogs, prioritization, planning, testing, and defect tracking</li><li>
Oversee user acceptance testing; support training and onboarding; ensure solutions meet business and regulatory requirements</li><li>
Monitor industry trends, regulatory change, and emerging risks to inform product direction and priorities</li><li>
Advocate for stakeholder needs; ensure scope and business cases align with organizational objectives and deliver measurable value; facilitate workshops, working sessions, and presentations</li></ul><h2 class="jobSectionHeader">
Required qualifications, capabilities, and skills</h2><ul><li>
Bachelor's degree in Business, Finance, Technology, or related field;
</li><li>Relevant experience in product management, business analysis, and/or project management within financial services;
</li><li>Strong understanding of financial products &amp; risk, controls and regulatory compliance framework
</li><li>Proven experience with Agile methodologies and product development frameworks</li><li>
Excellent written/verbal communication, stakeholder management, and analytical skills; ability to manage multiple initiatives and drive outcomes</li><li>
Demonstrated ability to work independently, prioritize effectively, adapt to change, and apply critical thinking to drive results</li><li>
Proficient in Microsoft Office (Excel, Visio, PowerPoint, Project, SharePoint) for analysis, process mapping, presentation materials, and collaboration</li><li>
Strong conflict management and negotiation skills, with a track record of building cross-functional relationships</li></ul><h2 class="jobSectionHeader">
Preferred qualifications, capabilities, and skills</h2><ul><li>
Innovation mindset; interest and knowledge of AI/LLM landscape and tools</li><li>
experience in CCOR
</li><li>Familiarity with data analytics platforms/technologies and innovation approaches in Compliance and Operational Risk</li><li>
Intellectual curiosity; strong critical thinking</li><li>
Highly detail-oriented; strong quality focus</li><li>
Strong analytical approach (defining analytical methods, synthesizing insights, focusing on outcomes)</li><li>
Creativity in envisioning sustainable solutions that meet business goals</li><li>
Leadership: ability to influence senior leaders toward a common goal and common approach</li></ul>
ABOUT US
 
 
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. 
<div><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' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. 
</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're setting our businesses, clients, customers and employees up for success.</div>

CCOR Data Analytics - Product manager - Vice President

<div>JOB DESCRIPTION 
 
 
At JPMorganChase, you'll be part of a world-class quantitative modeling group that drives innovation in financial engineering, data analytics, and portfolio management.
As a Vice President in the Quantitative Trading &amp; Research team, you'll collaborate with traders, risk managers, and controllers to develop and maintain sophisticated models for fair value measurement across multiple business lines. You should be passionate, curious, and ready to make an impact.
Job responsibilities<ul><li>
Develop mathematical models for the valuation of credit derivatives, structured lending facilities, and illiquid collateral</li><li>
Implement methodologies for model calibration and build analytics to manage model risk appetite</li><li>
Leverage machine learning, AI, and data analytics to enhance valuation methodologies and drive innovation</li><li>
Define methodology for pricing adjustments, model limitations, parameter uncertainty, and liquidity reserves</li><li>
Monitor model performance metrics to ensure models behave as expected over time</li><li>
Design and develop software frameworks for analytics delivery to systems and applications</li><li>
Collaborate with front office trading desks, controllers, and model risk teams to safeguard the firm's balance sheet</li></ul>
Required qualifications, capabilities, and skills<ul><li>
Demonstrated quantitative and problem-solving skills, including research abilities</li><li>
Strong understanding of advanced mathematics in financial modeling (probability theory, stochastic calculus, statistics)</li><li>
Hands-on experience with data analytics, large data sets, and tools for analysis and visualization</li><li>
Proficiency in code design and programming, primarily Python and C++</li><li>
Practical experience with code performance optimization, debugging, and reverse engineering</li><li>
Excellent verbal and written communication and team skills in a multi-location environment</li><li>
Deep understanding of financial products, their valuations, and associated risks</li></ul>
Preferred qualifications, capabilities, and skills<ul><li>
Advanced degree (PhD, MSc or equivalent) in Engineering, Mathematics, Physics, Computer Science, etc.</li><li>
Proven quantitative model development or model validation experience</li><li>
Markets experience and familiarity with trading concepts and terminology</li><li>
Knowledge of options pricing theory, trading algorithms, financial regulations, stochastic processes, partial differential equations, and numerical analysis</li></ul>
ABOUT US
 
 
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. 
<div><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' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. 
</div></div> 
 
ABOUT THE TEAM
 
 
J.P. Morgan's Commercial &amp; Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial &amp; Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.</div>

Quantitative Trading & Research - Valuation Models - Vice President

<div>JOB DESCRIPTION 
 
 
Be an integral part of a technology team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.
As a Python Quant Data Engineer you will help build the technology for Systematic Equities Trading Business. The role would sit in the Equities Trading Data &amp; Analytics technology team. As a Vice President Software Engineer at JPMorgan Chase within the agile technology team, you will play a crucial role in improving, developing, and delivering top-tier technology products in a secure, stable, and scalable manner. Your skills and contributions will have a substantial impact on the business, and your profound technical expertise and problem-solving methodologies will be utilized to address a wide range of challenges across various technologies and applications.
Job Responsibilities<ul><li>
Build and support fast, reliable, globally consistent data pipelines (data ingestion, cleaning, backfilling, storing) for the research and execution systems ensuring data integrity and low-latency access for research and trading.</li><li>
Work with the research and trading teams to onboard new datasets efficiently and consistently for use globally by the business.</li><li>
Design and build robust tools and frameworks to support quantitative research and production trading.</li><li>
Design, build and support research infrastructure (e.g. data access APIs, high performant and scalable simulation environments, feature and strategy signal stores)</li><li>
Build and support research and trading analytics libraries (e.g. markouts, strategy analytics)</li><li>
Serve as a function-wide subject matter expert in one or more areas of focus</li><li>
Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle</li><li>
Influence peers and project decision-makers to consider the use and application of leading-edge technologies</li></ul>
Required Qualifications, Capabilities, And Skills<ul><li>
Design and implementation of front-office systems for quant trading.</li><li>
Hands-on practical experience delivering system design, application development, testing, and operational stability</li><li>
Strong expertise in Python. Comfortable with scientific &amp; dataset libraries such as pandas, numpy.</li><li>
Experience with KDB/Q</li><li>
Knowledge of data pipelines, market data processing and backtesting workflows.</li><li>
Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines</li><li>
Ability to tackle design and functionality problems independently with little to no oversight</li><li>
Proficiency in automation and continuous delivery methods</li><li>
In-depth knowledge of the financial services industry and their IT systems</li><li>
Academic experience in Computer Science, Computer Engineering, Mathematics, or a related technical field</li><li>
Knowledge of machine learning, statistical techniques and related libraries.</li></ul>
Preferred Qualifications, Skills And Capabilities<ul><li>
Strong knowledge and experience in FIX, Market Data, Analytics, OMS, and equities trading in global markets are assets</li><li>
Additional knowledge of Java / C++ is a strong plus.</li><li>
Practical cloud native experience is a plus.</li><li>
Practical cloud experience is a plus.</li></ul>
ABOUT US
 
 
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. 
<div><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' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. 
</div></div> 
 
ABOUT THE TEAM
 
 
J.P. Morgan's Commercial &amp; Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial &amp; Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.</div>

Python Quant Data Engineer - Systematic Trading Technology

<div>JOB DESCRIPTION 
 
 
Join a firmwide team accelerating our data, analytics, and AI journey through highly governed, high-impact initiatives. In this role, you will help define how data is made available to power new products and AI models at scale. You will partner across lines of business and corporate functions to design architecture, toolchains, user-centric processes, and control frameworks that improve how data is developed and deployed&mdash;safely, efficiently, and at scale.
As a Vice President for Strategy Lead for Data Development Lifecycle (DDLC) in the Firmwide Chief Data Office, you will lead the development and execution of new architecture, tool chains, user-centric design, and control frameworks that transform the firm's data development process from concept to delivery. You will partner with firmwide teams, lines of business, and corporate functions, oversee crucial aspects of the lifecycle, and engage leaders across the business. A background in data science or a related technical field and excellent written and oral communication skills are valued given the visibility of this role.
Job responsibilities:
<ul><li>Define the process for data development from the perspective of data practitioners across all lifecycle stages with clear roles and responsibilities</li>
<li>Partner with technology leaders to develop a firmwide reference architecture supporting data development and testing in controlled environments</li>
<li>Partner with risk management and controls to develop a control framework for managing data risks</li>
<li>Manage end-to-end delivery of changes to key platforms and toolchains supporting DDLC&mdash;from proof of concept through deployment</li>
<li>Collaborate and align with architects, data engineers, and technologists to achieve business outcomes</li>
<li>Identify opportunities for continuous development and improvement of the DDLC, ensuring changes are done safely and at scale</li>
<li>Demonstrate self-motivation and tenacity, working with a high degree of independence</li>
<li>Develop executive-level presentation decks, documents, and white papers to communicate complex concepts and recommendations</li>
<li>Communicate effectively across diverse stakeholders in decision-making and strategy implementation</li>
<li>Work in a highly collaborative, matrixed environment to build consensus</li>
<li>Assist in identifying, escalating, and mitigating project risks that could impair execution of the strategy</li>
</ul>Required qualifications, capabilities, and skills:
<ul><li>7+ years' experience in financial services, data/technology, or related consulting</li>
<li>Deep data science experience with consulting for end-to-end delivery and exceptional analytical, problem-solving, communication, and presentation skills</li>
<li>Ability to develop executive-level decks, documents, and white papers to communicate complex concepts and recommendations</li>
<li>Ability to work in a highly collaborative, matrixed environment to build consensus and excellent stakeholder management and coordination skills</li>
<li>Structured thinker and effective communicator with excellent written communication skills and ability to crisply articulate complex technical concepts to senior audiences</li>
<li>Deep domain expertise (knowledge of clients, products, services) coupled with deep expertise in the data (applications systems, BI and AI applications) used to manage and execute strategy across multiple business units</li>
<li>Strong knowledge of data mesh architecture and data product concepts</li>
</ul>Preferred qualifications, capabilities, and skills:
<ul><li>Experience in roadmap creation and execution, aligning and leading business operations to strategic organizational goals</li>
<li>Strong understanding of AI/ML technologies and their application in data management/governance</li>
<li>Understanding of control and risk management concepts</li>
<li>Strong product management and project management skills</li>
</ul>ABOUT US
 
 
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. 
<div><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' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. 
</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're setting our businesses, clients, customers and employees up for success.</div>

Vice President - Strategy Lead for Data Development Lifecycle (DDLC)

Bank of China

<div>Financial Management department is in charge of planning, organising, directing and controlling the financial activities of the Bank. The department performs a variety of financial functions, including accounting and financial reporting, fixed asset and expenses management, budget and management reporting, taxation (indirect and direct), regulatory reporting, treasury (asset and liability management) and capital management. As an Assistant Vice President - Axiom Developer, you will support regulatory reporting change, primarily across Capital and Liquidity reporting, with an emphasis on UK PRA requirements. The role contributes to both regulatory delivery and the strategic Regulatory Datamart. You will play a critical role focusing on the Basel 3.1 implementation, ensuring the Bank&rsquo;s reporting framework is robust, scalable, and compliant with the latest Prudential Regulation Authority (PRA) requirements in Axiom. This is a full time 12 months fixed term contract position.
Key responsibilities<ul><li>
Support Basel 3.1 implementation including Credit Risk, Market Risk, and Operational Risk and Liquidity Risk</li><li>
Work extensively with Axiom data dictionary mapping, data lineage, and solution upgrade activities to ensure accurate regulatory reporting</li><li>
Oversee, build, and maintain a centralised regulatory DataMart, ensuring seamless data lineage from source systems to Axiom</li><li>
Translate regulatory requirements and business specifications into scalable technical solutions within Axiom platform</li><li>
Analyse regulatory guidance and provide Subject Matter Expert (SME) input to ensure end-to-end compliance and regulatory standards</li><li>
Act as the primary technical liaison between the Regulatory Policy, BAU, and IT delivery teams</li><li>
Drive the automation of regulatory returns including COREP, FINREP, Liquidity, and PRA regulatory returns, reducing manual intervention and improve efficiency</li><li>
Document reporting processes, controls, and key project delivery decisions</li></ul>
Requirements<ul><li>
Degree educated in Finance, Accounting or other relevant subject</li><li>
Solid experience as an Axiom Developer</li><li>
Experience with large-scale Data Warehouse/DataMart projects integrated with Axiom</li><li>
Prior experience in a Bank or Financial Institution supporting major regulatory transition</li><li>
Good understanding of regulatory rule sets (Basel 3.1), reporting instructions, and controls</li><li>
Excellent communication skills with a comfort level in dealing with clients</li><li>
Highly organised and able to work in a fast paced environment</li><li>
Attention to detail</li></ul>
Having a presence in the UK for more than 90 years, Bank of China London Branch has been providing an excellent financial service to the market and maintain its competitive edge as an international bank operated in the UK. It has employees in over 33 countries, and it is one of the most internationalised overseas branch in the Bank of China Group. The Bank values the diversity of its employees and aims to create an inclusive environment where everyone can speak up and enjoy the equal opportunities to grow both personally and professionally.</div>

Assistant Vice President - Axiom Developer

Citi

<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>
Engineer the future of global finance. At Citi, our Tech team doesn&rsquo;t just support finance &ndash; 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.
Department Overview:
Equities Technology at Citi is undertaking a bold, multi‑year transformation to build a best‑in‑class global platform across execution, prime, clearing and cross‑product margining. We are re‑engineering our technology estate to achieve world‑leading performance and resiliency, enabling new capabilities in advanced execution, global market connectivity, and modernised post‑trade, clearing and margin processes. Our ambition is to deliver a seamlessly integrated, highly automated platform that drives outstanding client outcomes and accelerates growth across our global franchise. As part of the team, you&rsquo;ll collaborate closely with high‑calibre engineers and deeply engaged business and product partners - working together to define and deliver the next generation of Equities technology at Citi.
Role Overview
Citi is seeking an accomplished and highly motivated Vice President (VP) level developer to join our Strategic Equity Solutions (SES) team. This role offers the opportunity to contribute to the creation of greenfield services focused on enhancing trader workflow tooling. As a key member of an agile, self-organizing team, you will have direct engagement with business users globally, offering substantial autonomy in technology decisions. Our team is committed to continuous delivery, owning the entire pipeline to production, and striving for frequent releases that drive immediate business value.
What will you do:
<ul><li>Design &amp; Develop: Iteratively develop robust, high-performance software solutions from initial concept through to production deployment, directly impacting trader efficiency and capabilities.</li>
<li>Business Acumen &amp; Product Ownership: Collaborate closely with business stakeholders, demonstrating a keen understanding of business drivers and a strong product owner mindset. You will translate complex requirements into technical specifications and innovative solutions that address critical trading needs. Functionally, this role will directly support the Strategic Equity Solutions (SES) business.</li>
<li>Code Excellence: Produce clean, efficient, and well-documented code, adhering to best practices and contributing to a high-quality codebase.</li>
<li>Engineering Leadership: Champion and share best engineering practices, foster a culture of continuous improvement, and mentor junior colleagues across the wider technology team. Technically, you will be an integral part of the ABS team.</li>
<li>Innovation &amp; Adaptation: Proactively evaluate and integrate new technologies, including AI tooling, to maintain a leading edge in our solutions.</li>
<li>Full Lifecycle Ownership: Take ownership of the entire software development lifecycle, from design and development to testing, deployment, and monitoring in a DevOps-centric environment.</li>
</ul>Key Skills and Experience:
We are looking for a versatile and experienced professional. This position can be tailored to a Full Stack Developer or a dedicated Backend Developer, depending on the candidate's core strengths and career aspirations.
Technology Skills Desired:
<ul><li>Backend Expertise (Mandatory for Backend Role, Highly Desired for Full Stack):
<ul><li>Strong proficiency in backend languages such as Java, Python, or Kotlin.</li>
<li>Extensive experience with microservices architecture and developing scalable, resilient services.</li>
<li>Demonstrated experience deploying and managing applications within containerization platforms like Kubernetes and OpenShift.</li>
</ul></li></ul><ul><li>Frontend Expertise:
<ul><li>Experienced in Python-based frontend frameworks (e.g., Dash, Streamlit, or other relevant Python web frameworks) would be desirable.</li>
</ul></li></ul><ul><li>DevOps &amp; Modern SDLC:
<ul><li>Deep understanding and practical application of DevOps principles, including CI/CD pipelines, automated testing, and trunk-based development.</li>
<li>A strong commitment to fully automated testing and continuous integration.</li>
</ul></li></ul><ul><li>Domain Knowledge:
<ul><li>Prior experience with front office applications and an understanding of trading workflows, financial instruments, or market data will be a significant advantage.</li>
</ul></li></ul><ul><li>Educational Background:
<ul><li>Bachelor&rsquo;s degree or University degree in Computer Science, Engineering, or a related field, or equivalent practical experience in a similar role.</li>
</ul></li></ul>This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
What we&rsquo;ll provide you
By joining Citi, 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:
<ul><li>27 days annual leave (plus bank holidays)</li>
<li>A discretional annual performance related bonus</li>
<li>Private Medical Care &amp; Life Insurance</li>
<li>Employee Assistance Program</li>
<li>Pension Plan</li>
<li>Paid Parental Leave</li>
<li>Special discounts for employees, family, and friends</li>
<li>Access to an array of learning and development resources</li>
</ul>Visit our About Us | Culture, Values &amp; 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.
#LI-AP2
-
<h2 class="jobSectionHeader">Job Family Group:
</h2>Technology
-
<h2 class="jobSectionHeader">Job Family:</h2>
Applications Development
-
<h2 class="jobSectionHeader">Time Type:</h2>
Full time
-
<h2 class="jobSectionHeader">Most Relevant Skills
</h2>Please see the requirements listed above.
-
<h2 class="jobSectionHeader">Other Relevant Skills
</h2>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.</div>

Full Stack Engineer (Python and/or Java) – VP

Checkout.com

<div>Company Description
We&rsquo;re Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we&rsquo;re behind many of the digital experiences you use every day.
 
 
We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers.
 
 
Whether you want to book a holiday, order food, renew a subscription, or check out online, there&rsquo;s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale.
 
 
If you want to do career-defining work, you&rsquo;ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact.
 
 
With 20 offices across six continents and London as our HQ, we&rsquo;re shaping the future of fintech &ndash; and we&rsquo;re just getting started.
As a Product Data Scientist, you'll work as part of a cross-functional team alongside product managers, designers, and software and analytics engineers, using data and your analytical expertise to influence the strategy of our Operations and Compliance products. You'll focus on two main domains: AML Transaction Monitoring, where you will help optimize our rules-engine and scale predictive automation, and Merchant Care, where you will measure tooling efficiency and apply text analytics to drive product roadmaps.
You'll help define how we measure the success of our products, collaborate with engineers on data collection, build analytical frameworks, and run insights to find product improvement opportunities. Data Analytics at Checkout.com is a highly visible function that critically impacts the company&rsquo;s success. As part of this group, you'll have a strong support network of Senior Data Scientists, Analytics Engineers, and Data Product Managers to help you develop your technical and data science practice.
How You&rsquo;ll Make an Impact<ul><li>
Efficiency &amp; Product Measurement: Build frameworks to measure the operational efficiency and ROI of new software releases and internal tooling updates within Merchant Care.</li><li>
Data Partnerships: Work closely with Data Analytics Engineers and Software Engineers to ensure we log and model the right data to produce high-integrity business insights.</li><li>
Data-driven automations and solutions:<ul><li>
Run historical data simulations to analyze how changes in our deterministic AML rule thresholds affect review backlogs, and suggest optimal logic updates to our SQL-based alerts.</li><li>
Support the development and testing of a Level 1 (L1) automated discounting agent for transaction monitoring alerts, building on existing team frameworks.</li></ul></li><li>
Text Analytics &amp; Insights: Use clustering techniques and LLM-based summary extraction on merchant ticket conversations to identify recurring user friction points and help product teams map future features.</li></ul>
What We&rsquo;re Looking For<ul><li>
Technical foundations: Excellent data interrogation skills with SQL and the ability to comfortably write, read, and iterate through Python scripts to run data science analyses.</li><li>
Foundational ML knowledge: A good understanding of foundational data science concepts (e.g., statistics, clustering, basic NLP workflows). You do not need experience deploying ML models to production, but you should understand how to apply them to data tasks.</li><li>
Analytical Mindset: A strong analytical mind with a demonstrable ability to take operational problems and convert them into structured, data-informed solutions.</li><li>
Communication: Clear and precise communicator, able to explain data insights and analytical logic to non-technical stakeholders (Product Managers and Operations teams).</li></ul>
Experience: Prior experience or a strong internship background in product analytics, risk/compliance data, or a high-growth tech environment is a plus.
Additional Information
Bring all of you to work
We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one.
Here, you&rsquo;ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It&rsquo;s a place where ambition gets met with opportunity, and where your growth is in your hands.
We work as one team, and we back each other to succeed. So whatever your background or identity, if you&rsquo;re ready to grow and make a difference, you&rsquo;ll be right at home here.
It&rsquo;s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable.
Life at Checkout.com
We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection.
Curious about what it&rsquo;s like to be part of our team? Visit our Careers Page to learn more about our culture, open roles, and what drives us.
For a closer look at daily life at Checkout.com, follow us on LinkedIn and Instagram</div>

Product Data Scientist

Explore 360+ Ccor data analytics product manager vice president in London this July. Find roles across top companies and apply now to boost your career.