Associate - Digital Product Operations (Raw Data Analyst)

AMEX
Brighton and Hove
1 year ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Lead Data Engineer

Data Engineer

Data Analyst Associate - no experience necessary - job guarantee

Data Analyst - Associate Director - Belfast

AI & Data Analyst - KTP Associate - Haldane Group Limited

American Express invites you to share your resume so that you can be considered for future Manager (Band 35) opportunities within FINANCE (US).

You Lead the Way. Weve Got Your Back.

With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, youll learn and grow as we help you create a career journey thats unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.

At American Express, youll be recognized for your contributions, leadership, and impactevery colleague has the opportunity to share in the companys success. Together, well win as a team, striving to uphold our company values and powerful backing promise to provide the worlds best customer experience every day. And well do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.

Join Team Amex and let's lead the way together.

Our industry is rapidly evolving, and we need courageous, quick thinkers who can shape the strategic decisions that lead our business forward. Whether its negotiating with some of our largest global partners or creating next years financial plan, you can influence both our day-to-day P&L and the future direction of the company. As part of the team, you can have the opportunity to learn and use the latest data tools and technologies and explore a range of roles to grow your career. Find your place in finance on #TeamAmex.

AMEX FINANCE (US) is looking for Managers for roles within the following teams.These roles will involve extensive collaboration with multiple partners across numerous business units, functional areas, and geographies.

Control Management Governance Team:

The objective of the Finance Control Management Governance team is to establish the Operational Risk and Controls strategy for Finance, set up a foundational governance structure that ensures operational risks are identified, assessed, and managed in compliance with enterprise Operational Risk Management programs and reporting.

Control Management Risk ID, Assessment, Testing & Reporting Team:

The objective of the Finance Control Management Risk ID, Assessment, Testing & Reporting team is to identify, assess and mitigate Operational Risk within BU processes for Finance to ensure adherence to regulatory standards, Amex policy and enhance the BU's resilience through managing a clear methodology of inherent and residual risk.

Control Management Issues, Events & Remediation Team:

The objective of the Finance Control Management Issues, Events & Remediation team is to ensure timely identification, response, and resolution of risk events and issues to minimize impact, as well as to prevent recurrence through effective remediation and lesson learning.

Control Management Process Risk Reduction Team:

The objective of the Finance Control Management Process Risk Reduction team is to directly engage in the continual improvement of business processes to mitigate operational risks and steps in when noteworthy issues or events occur, and subsequently deploy resources to remediate at scale.

Control Management Operational Risk Advisory Team:

The objective of the Finance Control Management Operational Risk (OR) Advisory team is to provide specialized and strategic risk advisory specific to Finance areas.

Required Qualifications:

3+ Years experience in operational risk management (e.g., within Risk and/or Internal Audit function) Understanding of critical operational risk management lifecycle activities Strong project management, communication, and interpersonal skills Experience in process governance, with an understanding of processes that align with policies, regulatory frameworks, and/or operational standards Proficient analytical and problem-solving skills, with an ability to analyze data, identify trends, and evaluate risk scenarios effectively

Preferred Qualifications:

Bachelor's Degree in Finance, Business, Risk Mgmt., or related field; advanced degrees (e.g., MBA, MSc) or certifications are advantageous Experience in at least one of the following:

oTranslating operational risk strategy and appetite into execution guidelines

oTracking and identifying issues with Key Risk Indicator (KRI) limits and risk appetite to ensure operational risks are managed within agreed thresholds

oOversee the implementation of the operational risk governance frameworks

oCommunicating and ensuring understanding and adherence to operational risk procedures and standards

oFacilitating the operational risk exam management processes

Experience in financial services industry

ORMCM

Salary Range: $80,000.00 to $155,000.00 annually + bonus + benefits

The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, well consider your location, experience, and other job-related factors.

We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:

Competitive base salaries Bonus incentives 6% Company Match on retirement savings plan Free financial coaching and financial well-being support Comprehensive medical, dental, vision, life insurance, and disability benefits Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need 20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities

For a full list of Team Amex benefits, visit our .

American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.

We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.

US Job Seekers/Employees - to view the Know Your Rights poster and the Pay Transparency Policy Statement.

If the links do not work, please copy and paste the following URLs in a new browser window: to access the three posters.

Employment eligibility to work with American Express in the U.S. is required as the company will not pursue visa sponsorship for these positions.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.