Compliance, Financial Crime Controls Conduct & Integrity Associate, Birmingham

Goldman Sachs
Birmingham
11 months ago
Applications closed

Related Jobs

View all jobs

Principal Data Science Consultant - Financial Services Expertise

Principal Data Science Consultant - Financial Services Expertise

Senior Data Architect - Databricks

AML Data Analyst

Performance Officer / Data Analyst

Finance Data Analyst

GLOBAL COMPLIANCE

Our division prevents, detects and mitigates compliance, regulatory and reputational risk across the firm and helps to strengthen the firm’s culture of compliance. Compliance accomplishes these through the firm’s enterprise-wide compliance risk management program. As an independent control function and part of the firm’s second line of defense, Compliance assesses the firm’s compliance, regulatory and reputational risk; monitors for compliance with new or amended laws, rules and regulations; designs and implements controls, policies, procedures and training; conducts independent testing; investigates, surveils and monitors for compliance risks and breaches; and leads the firm’s responses to regulatory examinations, audits and inquiries. You'll be part of a team with a wide range of academic and professional backgrounds, including law, accounting, engineering, data management, sales and trading. We look for those who possess sound judgment, curiosity, attention to detail, and adaptability. 

OUR IMPACT

Financial Crime Compliance team ("FCC") is part of the firm's Global Compliance Division and is responsible for coordinating Goldman Sachs' enterprise-wide anti-money laundering, anti-bribery and government sanctions compliance efforts. FCC also has oversight for the Conduct and Integrity team, which is responsible for the firm's Compliance Conduct, Business Integrity, and Insider Threat Programs. These teams assist with mitigating the risk of misconduct across the firm through support of the Firmwide Conduct Committee and the Firmwide Insider Threat Steering Group. They develop policies and procedures to address conduct risk across the firm, administer the firm's Business Integrity Program, and conduct forensic reviews.

YOUR IMPACT

 As a member of the Conduct & Integrity Operations (C&I Ops) team, you will support our efforts to maintain multiple conduct risk reporting and monitoring systems, manage recurring work flows in collaboration with Divisional Compliance and other Core Compliance teams, enable effective working relationships with other second line of defense functions, including Employee Relations, Employment Law Group, Human Capital Management Insights & Analytics team, Core Engineering, Operational Risk, as well as engage frequently with Internal Audit. This role will leverage your interest and skills in data management, data analysis, business intelligence, data visualization, and reporting of metrics related to conduct risk management. The role also supports the Firmwide Insider Threat Program and Business Integrity Program within the FCC/C&I portfolio. Primary functions include but not limited to:

Managing conduct risk-related data feeds, sources and archives that support and enable the firm’s conduct outcome inventory and conduct risk monitoring platform Generating conduct risk metrics and associated reporting to regulators, Boards, Internal Audit, Committees and firmwide, regional and divisional management Participating in cross divisional working groups  Regularly engaging and collaborating with Divisional Compliance conduct teams, core and functional Compliance teams, and other second and third line stakeholders on behalf of C&I Ops Preparing and delivering training content and other communications 

Basic Qualifications

Strong data analytic skills Bachelor's Degree, preferably within data science, information systems, or criminal justice  3 to 5 years of experience in a compliance, risk, engineering, audit or legal role Strong knowledge and familiarity with Excel, Access, Word, PowerPoint Alteryx Certification and experience with Tableau preferred Ability to prioritize demanding workflows, while remaining detail-oriented and well-organized Ability to adapt to changes and new challenges Effective interpersonal skills and ability to forge constructive relationships with stakeholders Self-starter, proactive and able to work independently and yet still be team-oriented Excellent written and verbal communication skills (fluent in English)

ABOUT GOLDMAN SACHS
At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.
We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at /careers.
We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process.

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.

Portfolio Projects That Get You Hired for Machine Learning Jobs (With Real GitHub Examples)

In today’s data-driven landscape, the field of machine learning (ML) is one of the most sought-after career paths. From startups to multinational enterprises, organisations are on the lookout for professionals who can develop and deploy ML models that drive impactful decisions. Whether you’re an aspiring data scientist, a seasoned researcher, or a machine learning engineer, one element can truly make your CV shine: a compelling portfolio. While your CV and cover letter detail your educational background and professional experiences, a portfolio reveals your practical know-how. The code you share, the projects you build, and your problem-solving process all help prospective employers ascertain if you’re the right fit for their team. But what kinds of portfolio projects stand out, and how can you showcase them effectively? This article provides the answers. We’ll look at: Why a machine learning portfolio is critical for impressing recruiters. How to select appropriate ML projects for your target roles. Inspirational GitHub examples that exemplify strong project structure and presentation. Tangible project ideas you can start immediately, from predictive modelling to computer vision. Best practices for showcasing your work on GitHub, personal websites, and beyond. Finally, we’ll share how you can leverage these projects to unlock opportunities—plus a handy link to upload your CV on Machine Learning Jobs when you’re ready to apply. Get ready to build a portfolio that underscores your skill set and positions you for the ML role you’ve been dreaming of!

Machine Learning Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Machine learning is fuelling innovation across every industry, from healthcare to retail to financial services. As organisations look to harness large datasets and predictive algorithms to gain competitive advantages, the demand for skilled ML professionals continues to soar. Whether you’re aiming for a machine learning engineer role or a research scientist position, strong interview performance can open doors to dynamic projects and fulfilling careers. However, machine learning interviews differ from standard software engineering ones. Beyond coding proficiency, you’ll be tested on algorithms, mathematics, data manipulation, and applied problem-solving skills. Employers also expect you to discuss how to deploy models in production and maintain them effectively—touching on MLOps or advanced system design for scaling model inferences. In this guide, we’ve compiled 30 real coding & system‑design questions you might face in a machine learning job interview. From linear regression to distributed training strategies, these questions aim to test your depth of knowledge and practical know‑how. And if you’re ready to find your next ML opportunity in the UK, head to www.machinelearningjobs.co.uk—a prime location for the latest machine learning vacancies. Let’s dive in and gear up for success in your forthcoming interviews.

Negotiating Your Machine Learning Job Offer: Equity, Bonuses & Perks Explained

How to Secure a Compensation Package That Matches Your Technical Mastery and Strategic Influence in the UK’s ML Landscape Machine learning (ML) has rapidly shifted from an emerging discipline to a mission-critical function in modern enterprises. From optimising e-commerce recommendations to powering autonomous vehicles and driving innovation in healthcare, ML experts hold the keys to transformative outcomes. As a mid‑senior professional in this field, you’re not only crafting sophisticated algorithms; you’re often guiding strategic decisions about data pipelines, model deployment, and product direction. With such a powerful impact on business results, companies across the UK are going beyond standard salary structures to attract top ML talent. Negotiating a compensation package that truly reflects your value means looking beyond the numbers on your monthly payslip. In addition to a competitive base salary, you could be securing equity, performance-based bonuses, and perks that support your ongoing research, development, and growth. However, many mid‑senior ML professionals leave these additional benefits on the table—either because they’re unsure how to negotiate them or they simply underestimate their long-term worth. This guide explores every critical aspect of negotiating a machine learning job offer. Whether you’re joining an AI-focused start-up or a major tech player expanding its ML capabilities, understanding equity structures, bonus schemes, and strategic perks will help you lock in a package that matches your technical expertise and strategic influence. Let’s dive in.