data engineer

analytics engineer

senior data scientist

data science manager

senior analytics engineer

associate director data & analytics

AML RightSource

<div><p><b>Job Description:</b></p><p>
AML RightSource is the leading expert solutions provider of managed services and advisory, dedicated exclusively to financial crime compliance. As financial crime continues to evolve, we help organizations stay ahead through expert-led services and deep industry knowledge.</p><p></p><p>
Specializing in anti-money laundering, financial crime prevention, and third-party compliance, we deliver tailored solutions that enhance operational efficiency and reduce business risk. With a global presence and a team of more than 7,000 specialized, trained professionals, AML RightSource partners closely with clients to transform their compliance programs into strategic advantages.</p><p></p><p>
Our focused expertise and partnership-driven approach ensure adaptable, scalable solutions that meet today&rsquo;s complex regulatory demands. We empower organizations to strengthen compliance, protect their businesses, and confidently navigate an ever-changing financial crime landscape.</p><p></p><p><b>
About the Position</b></p><p>
The Advisory team at AML RightSource is made up of a team of industry and subject matter specialists that provide advisory services specific to financial crime programs, policies, and technology to C-suite-level executives across the world. Our scope of services includes, but is not limited to, program transformation, gap analysis, model validations, policy redesign, system implementation, and model optimization. Our Advisory team aims to help clients build and optimize their financial crime compliance programs by leveraging a technology-enabled approach for some of the world's largest organizations.</p><p></p><p>
As an Associate Director &ndash; Data &amp; Analytics in our Advisory team you will primarily be responsible for leveraging your subject matter expertise and partnering with Financial Crimes Advisory leadership to successfully deliver projects/engagements for clients and execute strategic initiatives designed to grow the Advisory team. You will also oversee the work performed by junior Data &amp; Analytics resources to ensure quality and timely delivery of client deliverables.</p><p></p><p>
As a result, a successful candidate is an experienced professional with deep expertise in AML, Sanctions, and Fraud, inclusive of being knowledgeable about regulations, regulatory guidance and industry best practices in these subject matter areas. They must have had direct ownership of multi-workstream advisory engagements, including client-facing delivery, scope management, and executive-level communication. They must also be experienced in coaching more junior resources to successfully deliver on their responsibilities, all while fostering an inclusive and supportive environment. The ideal candidate will be proactive and able to work autonomously. In addition to client delivery, Associate Directors will be engaged in our sales and marketing efforts, including developing proposals. As a result, a successful candidate will possess strong communication and presentation skills, a strategic mindset, and the ability to collaborate effectively across teams. They should be comfortable engaging with clients and stakeholders, identifying business opportunities, and contributing to the growth of the firm through thought leadership.</p><p></p><p><b>
Primary Responsibilities</b></p><p><i>
Engagement Delivery</i></p><ul><li>
Successfully lead or participate in multiple, sometimes simultaneous, AML, Sanctions and fraud (collectively &quot;financial crimes&quot;) engagements being delivered across the three lines of defense. Projects include but not limited to those focused on model validations, model tunings, data lineage reviews, lookbacks, risk assessments, methodology and procedure review and development, training development and delivery, system implementations, and coverage assessments.</li><li>
On smaller engagements, effectively serve as the lead point of contact (i.e., engagement leader) for engagement teams and clients, providing day-to-day direction to engagement teams and coaching/mentoring to team members.</li><li>
Evaluates the extent to which clients&rsquo; financial crimes models adhere to regulations and guidelines, as well as industry best practices, and provide value added insights and practical recommendations to clients.</li><li>
Prepare reports and written documents utilizing Microsoft Word, PowerPoint, Excel, writing in a clear, concise and articulate manner.</li><li>
Provide guidance and oversight to junior team members, reviewing their work and offering constructive feedback to support skill development and enhance overall quality.</li><li>
Utilize effective project management practices to ensure deliverables meet client expectations, while the project stays within agreed budgets and timelines.</li><li>
Effectively identify, escalate and manage risks and issues as they arise during engagements. Serve as an escalation point for more junior team members.</li><li>
Actively participate in or lead, where necessary, key client meetings.</li><li>
During the course of engagements, identify opportunities for additional work to be delivered to existing clients.</li></ul><p><i><br>
Sales and Go-To-Market</i></p><ul><li>
Take a leading role in contract preparation and budgeting. Support other sales related efforts.</li><li>
Stay up to date on emerging regulatory requirements and guidance, as well as industry trends such as AI and Machine Learning use cases and applications.</li><li>
Develop, maintain and nurture an internal and external network of advisory services buyers.</li></ul><p><i><br>
Internal Initiatives and People Leadership</i></p><ul><li>
Lead by example and provide leadership to ensure that the mission, core values and strategy of the company are put into practice.</li><li>
Demonstrate support in advancing company revenue and profitability objectives.</li><li>
Assist leadership with the execution of an effective growth strategy for the Advisory business.</li><li>
Train, mentor and develop Advisory Data &amp; Analytics team members.</li><li>
Provide balanced, periodic performance reviews to team members.</li><li>
Serve as a People Leader to junior team members.</li></ul><p></p><p><b>
Required Qualifications</b></p><ul><li>
Bachelor's degree preferred in Mathematics, Statistics, Information System Management, and Data Science (or equivalent). If not available, equivalent years of relevant AML/Sanctions/Fraud experience are required. Relevant experience includes time spent providing financial crimes data analytics focused consulting advice to the financial services industry or equivalent time in a financial crime data analytics focused industry role</li><li>
A minimum of nine (9) years of relevant AML/Sanctions/Fraud experience working in industry or at professional services / management consulting firms in an advisory consulting role</li><li>
A minimum of five (5) years in a managerial or leadership role, managing and directing junior resources</li><li>
Deep model validation and tuning experience with a wide variety of systems (Verafin, Actimize, SAS, etc.)</li><li>
A minimum of eight (8) years&rsquo; experience using Microsoft SQL and/or other relational databases</li><li>
A minimum of six (6) years of SQL and Python experience (or another scripting language for data wrangling/ cleaning)</li><li>
Strong analytical and quantitative skills to be able to explain a story based on data analytics (trend analysis, A/B Testing, reconciliation, Regression Models, etc.)</li><li>
A strong project management professional able to lead a small project team and deliver project deliverables accurately and on time. Highly accountable with a strong sense of ownership over deliverables, timelines, and outcomes and able to work on multiple projects simultaneously</li><li>
Robust understanding of anti-financial crime program concepts, including rules and regulations, as well as regulatory and industry trends, as well as the vendor solutions utilized to fight financial crime</li><li>
Ability to interact seamlessly with financial crimes program leaders and senior executives</li><li>
Strong problem solving and analytical skills</li><li>
Excellent interpersonal skills. Ability to communicate succinctly and clearly in writing and verbally</li><li>
Demonstrated ability to work independently with minimal supervision; a strong self-starter who takes initiative</li><li>
Proactive in identifying opportunities, solving problems, and driving tasks forward</li><li>
Highly proficient in Microsoft Office, with a focus on Word, Excel and Powerpoint</li><li>
Experience working with diverse teams, collaborating seamlessly across Data and Advisory teams</li><li>
Ability to travel as needed</li><li>
Must be able to work in the UK without sponsorship now or in the future</li></ul><p></p><p><b>
Preferred Qualifications</b></p><ul><li>
Experience implementing, reviewing and validating AI and Machine Learning capabilities and models</li><li>
CAMS, CFE, ICA or similar certification</li><li>
Experience and/or knowledge in: (i) non-traditional financial services organizations (e.g., payments, fintech, crypto, etc.); and (ii) understanding and/or knowledge of North American, European and Asia Pacific financial crimes laws and regulations</li></ul><p></p><h2 class="jobSectionHeader"><b><br>
AML RightSource is committed to fostering a diverse work environment and is proud to be an equal opportunity employer. We provide equal employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
</b></h2><p></p><p><b>Recruitment Scam Alerts</b></p><p><b>
We&rsquo;re aware of an increase in recruitment scams where individuals falsely claim to represent AML RightSource. These scammers may ask for money or personal information by offering fake job opportunities through e-mail, text message or social media. Please verify the source of any job-related communications carefully. All official AML RightSource communications are conducted through &quot;@amlrightsource.com&quot; email addresses. If you encounter suspicious messages, do not respond.</b></p></div>

Associate Director Data & Analytics (FCA) - Remote, UK

<div>As one of the world's largest networks of audit, tax and consulting firms, RSM delivers big ideas and premium service to help middle-market businesses thrive. We are a fast-growing firm with big ambitions - we have a clear goal to become the premium adviser to the middle market, globally. This vision touches everything we do, motivating and inspiring us to become better every day. If you are looking for a firm where you can build a future and make an impact, then RSM is the place for you.<p><b><br>
Make an Impact at RSM UK</b></p><p>
At RSM, our consulting team brings together diverse advisory experts to deliver our six core solutions: business transformation, forensic, deal services, restructuring, finance function support, and risk and governance.<br>
<br>
Our solutions are designed to address the unique needs, challenges, and opportunities our clients face as they strive to achieve their aspirations and organisational goals. Whether it&rsquo;s supporting global expansion, developing acquisition strategies, facilitating private equity investments, or collaborating with boards to manage risk and governance, our consulting experts work as one cohesive team. We prioritise simplicity, providing data-driven insights, value-added assurance, and high-quality execution to empower our clients in building sustainable, future-fit businesses.<br>
<br>
It&rsquo;s an exciting time to join our consulting team, as we embark on ambitious growth plans that promise to create diverse career opportunities. We are committed to enhancing our six solutions, expanding and developing our team of expert consultants, embracing a digital-first approach, strengthening our global presence, and building strong client relationships.</p><p><br>
The Data Engineering &amp; Analytics Associate Director is responsible for establishing and leading the data engineering and analytics capability within the Forensic Technology team. The role combines hands-on technical delivery with team leadership and direct client engagement.</p><p>
Day-to-day, you will design and build data pipelines, analytical models, and automated forensic testing on Microsoft Fabric and Databricks using Python, PySpark, and SQL.</p><p>
You will work directly with clients, lawyers, and regulators understanding their problems, proposing data-driven solutions, and delivering through to completion.</p><p>
You will also be responsible for building the team around you: hiring and mentoring junior staff, setting coding and governance standards, and creating the reusable tools and IP that underpin a scalable, consistent analytics capability. This is a greenfield role therefore, you will contribute to defining how the function operates.</p><p><b>
You will make an impact by:</b></p><p>
You will help establish the data engineering and analytics function, choosing the patterns, setting the standards, and building the team. You will be responsible for delivering analytics solutions directly to clients from day one.</p><ul><li>
Designing and building production-grade data pipelines on Microsoft Fabric and Databricks to support forensic investigations, transaction analysis, and red flag testing.</li><li>
Presenting analytical findings directly to clients, lawyers, and regulators as part of live forensic engagements.</li><li>
Setting the technical direction for the team: defining coding standards, peer review processes, data governance practices, and documentation requirements.</li><li>
Leading the strategy to leverage and integrate AI into process and output.</li><li>
Mentoring and developing junior data engineers and analysts, and leading hiring as the team grows.</li><li>
Building reusable forensic analytics tools and templates that make the team faster and more consistent over time.</li><li>
Leading proposals and business development activity for forensic data analytics engagements.</li><li>
Collaborating with analytics professionals across the wider Consulting practice through a community of practice.</li></ul><p><b><br>
What we are looking for:</b></p><ul><li>
Strong experience with Microsoft Fabric or previous Azure Synapse components, Databricks an advantage.</li><li>
Strong Spark, SQL and Python skill.</li><li>
Solid understanding of data pipeline design, data modelling, and data governance.</li><li>
Working experience with Power BI and version control (Git, Azure DevOps or similar).</li><li>
Experience with Alteryx is desirable but not essential.</li><li>
Typically 5+ years in data engineering, analytics, or a closely related role.</li><li>
Experience leading a technical team or workstream, including mentoring junior staff.</li><li>
Ability to work with clients to understand their problems, propose data analytics solutions to address their requirements, and lead the delivery of those solutions from scoping through to completion.</li><li>
Experience in professional services, consulting, or a regulated environment is an advantage particularly in forensic or financial crime specialisms.</li></ul><p><b><br>
What we can offer you:</b></p><p>
We recognise that our people are our most important assets. That&rsquo;s why we offer a flexible reward and benefits package that will help you have fulfilling experience, both in and out of work.</p><ul><li>
Hybrid working although travel to your local office will be required weekly.</li><li>
27 Days Holiday.</li><li>
Lifestyle, Health, and Wellbeing including financial wellbeing benefits such as financial tools, electric car scheme and access to a virtual GP.</li><li>
Access to a suite of 300+ courses on demand developed by our inhouse Talent Development team.</li></ul><br>
Diversity and Inclusion at RSM<br>
At RSM, we want to create a strong sense of belonging so that people of all identities, backgrounds, and cultures feel they can bring their true self to work. Our clients come from all walks of life. We aim to achieve that same diversity of background, experience and perspective in our own teams, so that we can genuinely understand our client's needs. Diverse teams bring a broader range of ideas and insights to work. That's why we're working together to ensure our firm's principles and processes support a firm culture that embraces difference and strengthens inclusion.</div>

Data Engineering & Analytics Associate Director

<div><p><b>About the role:</b></p><p>
We are the world&rsquo;s largest and most successful deal analytics and modelling team. Sitting at the heart of PwC&rsquo;s +$10bn global deals business, we work with the world&rsquo;s largest investors on their most complex transactions and restructurings.
</p><p>Our purpose is to support the increasingly sophisticated client demand for advanced data-driven insights to underpin their critical investment decisions. We deliver this with:</p><ul><li><p>
A range of products and services that deliver transformational insights to our clients throughout the deal cycle;
</p></li><li><p>Significant investments in cutting edge technologies and platforms;</p></li><li><p>
A world class and truly diverse team with a range of data science, technology, commercial, financial and industry backgrounds</p></li></ul><p></p><p>
For the right candidate, this is an amazing opportunity to build a career in an environment that fosters a creative and entrepreneurial spirit, with the unrivalled security, personal development, client access and investment that PwC brings.
</p><p>We offer an exciting, continuous development journey to help you become a market leading deals advisor.
</p><p><i>PwC operates in 136 countries around the world with over 364,000 employees and revenues of US$57bn.</i></p><p></p><p><b>
What your days will look like</b>:</p><p>
We're looking for people with a commercial mindset who can deliver commercial insight to our clients and enhance the Deal value through compelling analysis. As a Data &amp; Analytics senior associate, you will play a key role in delivering analytics-led deal insight for clients, owning defined analytics workstreams within larger assignments, stretching yourself across many different industry sectors and engaging directly with clients, in a unique, commercially orientated role.
</p><p>As part of this team you will help design and deliver high-quality analysis and insights to meet a range of business needs. For example:</p><ul><li><p>
Development of analytics showcasing the drivers and equity story of a business, either to management or to bidders, to increase deal confidence
</p></li><li><p>Creation of analytics to arm management with data-driven insights, enabling fact-based decision making and driving value within the business
</p></li><li><p>Working with clients to gather and understand data, including sourcing and integrating data from multiple internal and external sources (e.g. APIs, web data, industry datasets)</p></li><li><p>
Using Python, SQL, Databricks and other data manipulation tools to structure, cleanse, transform and analyse large or complex datasets to support robust analysis</p></li><li><p>
Using your technical expertise and translating this for non-technical stakeholders to support clear, evidence-based decisions
</p></li><li><p>Creating reports, dashboards and presentations, and communicating findings to clients and stakeholders
</p></li><li><p>Supporting business development and proposition development, including identifying opportunities to apply analytics to new client problems.</p></li><li><p>
Helping raise technical standards across the team, including developing reusable analytical approaches, coaching Associates, supporting code and output review, and contributing to the quality of analytical delivery.</p></li><li><p>
Bringing your ideas and creativity to the team, continuously challenging how we deliver the best outcomes
</p></li></ul><p></p><p>Most importantly, we need you to become a business partner and strategic advisor to our clients, translating and communicating your analysis to help answer critical commercial questions.</p><p></p><p><b>
The role is for you if:</b></p><p>
If you are naturally inquisitive, have an analytical mind and enjoy solving problems, we would be interested in talking to you. You should be comfortable working with data, drawing insights and explaining your thinking clearly to others. Candidates should also be prepared to travel, as some opportunities may require working at other PwC offices or client sites across the UK or overseas on a temporary basis.</p><p>
Essential requirements of the role:</p><ul><li><p>
Significant relevant experience in data analytics, data science, deals or a related analytical role.</p></li><li><p>
Degree in a STEM related subject (Science / Technology / Engineering / Mathematics), and a clear interest in how data and technology can be used to solve business problems.</p></li><li><p>
Strong practical experience using Python, Databricks and /or SQL to manipulate, analyse and interpret datasets, ideally in a professional or client-facing environment.</p></li><li><p>
Experience using AI-enabled tools to accelerate workflow development, improve analytical efficiency and support more scalable analytics delivery.</p></li><li><p>
Data visualisation and presenting insights in a clear and structured way (e.g. Power BI or similar).</p></li><li><p>
Experience working with, structuring or combining multiple data sources (including large or complex datasets).</p></li><li><p>
Experience of coaching / training juniors to support their development.</p></li></ul><p></p><p>
In addition, we are looking for candidates who can demonstrate:</p><ul><li><p>
Commercial thinking to complex problems, leveraging data analytics to generate insights and support decision-making.</p></li><li><p>
An ability to translate data and analysis into clear, commercially relevant insights.
</p></li><li><p>Strong problem-solving skills and the ability to approach ambiguous or complex questions.
</p></li><li><p>Confidence communicating technical concepts to non-technical stakeholders.</p></li><li><p>
A proactive approach, with the ability to learn quickly and work effectively as part of a team.</p></li></ul><p></p><p>
The role requires flexibility to travel throughout the UK.</p><p></p><p><b>
What you&rsquo;ll receive from us:</b></p><p>
No matter where you may be in your career or personal life, our benefits are designed to add value and support, recognising and rewarding you fairly for your contributions.</p><p>
We offer a range of benefits including empowered flexibility and a working week split between office, home and client site; private medical cover and 24/7 access to a qualified virtual GP; six volunteering days a year and much more.</p></div><p></p>

LA&R, Data & Analytics Senior Associate (Deals Insights & Analytics)

Genpact

<div>Delivery Director - Data and Analytics<p></p><p><b>
Ready to turn bold ideas into real-world impact?</b><br>
 At Genpact, we don&rsquo;t just adapt to change, we lead it. AI and digital innovation are transforming the way businesses work, and we&rsquo;re at the forefront of it. Genpact&rsquo;s AI Gigafactory, our industry-first accelerator, exemplifies how we scale advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. Whether tackling complex challenges through large-scale models or agentic AI, our breakthrough solutions tackle companies&rsquo; most complex challenges.<br>
<br>
If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what&rsquo;s possible, this is your moment.<br>
<br>
Genpact (NYSE: G) is an agentic and advanced technology solutions company. We leverage process intelligence and artificial intelligence to deliver measurable outcomes. With a strong partner ecosystem and decades of client trust, we provide innovative solutions that transform how businesses run. Powered by a team with an active learning mindset and client centricity at its core, we deliver lasting value for the world&rsquo;s leading enterprises.<br>
 Get to know us at genpact.com and on LinkedIn, YouTube, X, and Facebook.</p><p></p><p><b>
Job Description -
</b></p>Responsibilities Leads strategic delivery of data products and platforms. Defines delivery roadmaps and partner engagement models. Manages cross-functional execution and client onboarding. Drives innovation in delivery channels and performance. Aligns delivery strategy with business outcomes.<p></p><p><b>
Qualifications -
</b></p>Bachelors - Business Analytics, Bachelors - Computer Science, Bachelors - Statistics, Masters - Data Science<p></p><p><b>
Certifications -
</b></p>CompTIA Network+ - ComptiaComptia<p></p><p><b>
Required Skills -
</b></p>Ab Initio, Ab Initio, Agile Methodology, Alteryx, Change Management, Client Relations, Collaboration Tools, Data Integration, Data Modeling, Demand Forecasting, Design Thinking, Executive Presence, High Volume Replication, Inclusion, Informatica PowerCenter, Matillion ETL, Microsoft Excel, Microsoft Power BI, Microsoft Visual Basic for Applications, Modernizing Operations, Oracle Data Integrator (ODI), People Leadership, Personal Effectiveness, Project Management, Python (Programming Language) {+ 7 more}<p></p><p><b>
Language</b></p>
English (Required)<p></p><p><b>
Language Proficiency -
</b></p>Advanced - C1<p></p><p><b>
Additional Job Location -
</b></p><p></p><p><b>Job Type</b></p>
Regular<p></p><p><b>
Master Skill List -
</b></p>Data and Analytics Delivery Management<p></p><p><b>
Remote Type -
</b></p>Hybrid<p></p><p><b>
Work Shift -
</b></p>Standard (United Kingdom)<p></p><div><b>
Why join Genpact?</b><br>
<ul><li><b>Lead AI-powered transformation</b> &ndash; Drive innovation and solve real-world business challenges that matter</li><li><b>Make an impact </b>&ndash; Help global enterprises solve business challenges that matter</li><li><b>Accelerate your career</b> &ndash; Gain hands-on experience, mentorship, and world-class learning opportunities to stay ahead</li><li><b>Work with the best</b> &ndash; Join 140,000+ bold thinkers and problem-solvers who push boundaries every day</li><li><b>Thrive in a values-driven culture</b> &ndash; Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress</li></ul>
<br>
Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up.<br>
Let&rsquo;s build tomorrow together.<br>
<br>
Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation.<br>
Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.</div></div>

Delivery Director - Data and Analytics 3

Goldman Sachs

<div><div><div><div><p>Join our Alternatives Data Science team and contribute to DSML and AI initiatives across the full lifecycle of the investment process. The Data Scientist will be responsible for the design, development, and implementation of data- and AI-driven models to drive innovation and productivity for origination, due diligence, and investment performance. The data science team sits alongside the Goldman Sachs Deal Teams and works closely with the Goldman Sachs Value Accelerator and portfolio company management teams.</p><br>
<p></p><p>Key Responsibilities:</p>
<ul><li>Leverage sophisticated statistical, mathematical, and programming skills to analyse complex datasets, support the investment processes, and drive quantifiable commercial value</li>
<li>Partner with Deal Teams to identify high-value commercial problems and translate them into well-scope technical solutions</li>
<li>Own the end-to-end delivery of prototypes through an investment lens &mdash; from framing the commercial problem and sourcing alternative datasets, to exploring the data and building the underlying model or pipeline that powers the solution</li>
<li>Partner strategically with portfolio company management teams to drive data and AI initiatives for value creation</li>
<li>Partner with GS Engineering to lead development and implementation of data-centric and AI tools, enhancing our investment processes and supporting our deal and fundraising teams</li>
<li>Stay up-to-date with the latest developments in AI, ML, and related fields to continuously improve the division's data and AI capabilities</li><br>
</ul><p></p><p>Qualifications, experience, and attributes:</p>
<ul><li>MSc or PhD in a quantitative field such as Mathematics, Statistics, Physics, Engineering, Computer Science, or a related field</li>
<li>2+ years of relevant experience applying quantitative methods to commercial problems with measurable impact</li>
<li>Strong programming skills (Python, SQL) and experience using the basic data science libraries (e.g. pandas, scikit-learn) and comfort writing clean, modular code beyond notebooks</li>
<li>High-level of proficiency in mathematics, statistics, and data science theory</li>
<li>Proven experience implementing sophisticated data science techniques, handling large datasets, translating data into actionable business insights. Experience with alternative data is advantageous</li>
<li>Commercial experience with a strong track record of quantitative problem solving and realised commercial impact</li>
<li>Excellent written and verbal communication and collaboration skills with a strong growth mindset</li>
</ul><p>Highly valued:</p>
<ul><li>Hands-on experience building with modern AI tooling, including LLMs, prompt engineering, RAG pipelines, embeddings, vector databases, and at least one agent or orchestration framework (e.g., LangChain, LlamaIndex, LangGraph)</li>
<li>Experience with cloud platforms (AWS, Azure, GCP) and basic familiarity with Docker, APIs, and lightweight web frameworks (FastAPI, Streamlit) for shipping prototypes</li>
<li>Exposure to private equity, investment banking, consulting, or operating roles in portfolio companies</li>
<li>Experience working in embedded or client-facing delivery models (consulting, forward deployed, solutions engineering) supporting data-informed decision making</li>
<li>Familiarity with LLM evaluation frameworks and responsible AI practices</li>
<li>Adept at designing high-performance schemas and feature stores within modern cloud data platforms (e.g., Databricks<b>, </b>Snowflake); specialized in transforming complex, unstructured datasets into structured, optimized formats engineered specifically to train and scale predictive models.</li>
</ul><div><div>ABOUT GOLDMAN SACHS</div><br>
<div></div><br>
<div>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.</div><br>
<div></div><br>
<div>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. about our culture, benefits, and people at GS.com/careers.</div><br>
<div></div><br>
<div>We&rsquo;re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. : https://www.goldmansachs.com/careers/footer/disability-statement.html</div><br>
<div></div><br>
<br>
<div>&copy; The Goldman Sachs Group, Inc., 2023. All rights reserved.</div>
<div>Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.</div><br>
</div></div></div></div><p></p><div><div><div>We Offer Best-In-Class Benefits
</div></div><div></div><div><div><div><div><div><div>Healthcare &amp; Medical Insurance
</div><div>We offer a wide range of health and welfare programs that vary depending on office location. These generally include medical, dental, short-term disability, long-term disability, life, accidental death, labor accident and business travel accident insurance.</div>
</div></div></div></div><div></div><div><div><div><div><div>Holiday &amp; Vacation Policies
</div><div>We offer competitive vacation policies based on employee level and office location. We promote time off from work to recharge by providing generous vacation entitlements and a minimum of three weeks expected vacation usage each year.</div>
</div></div></div></div><div></div><div><div><div><div><div>Financial Wellness &amp; Retirement
</div><div>We assist employees in saving and planning for retirement, offer financial support for higher education, and provide a number of benefits to help employees prepare for the unexpected. We offer live financial education and content on a variety of topics to address the spectrum of employees&rsquo; priorities.</div>
</div></div></div></div><div></div><div><div><div><div><div>Health Services
</div><div>We offer a medical advocacy service for employees and family members facing critical health situations, and counseling and referral services through the Employee Assistance Program (EAP). We provide Global Medical, Security and Travel Assistance and a Workplace Ergonomics Program. We also offer state-of-the-art on-site health centers in certain offices.</div>
</div></div></div></div><div></div><div><div><div><div><div>Fitness
</div><div>To encourage employees to live a healthy and active lifestyle, some of our offices feature on-site fitness centers. For eligible employees we typically reimburse fees paid for a fitness club membership or activity (up to a pre-approved amount).</div>
</div></div></div></div><div></div><div><div><div><div><div>Child Care &amp; Family Care
</div><div>We offer on-site child care centers that provide full-time and emergency back-up care, as well as mother and baby rooms and homework rooms. In every office, we provide advice and counseling services, expectant parent resources and transitional programs for parents returning from parental leave. Adoption, surrogacy, egg donation and egg retrieval stipends are also available.</div>
</div></div></div></div><div></div><div><div><div><div><div>Benefits at Goldman Sachs
</div><div>Read more about the full suite of class-leading benefits our firm has to offer.</div></div></div></div></div></div></div></div><div></div>
<br><div>Opportunity Overview
<div></div><div><div><div>CORPORATE TITLEAssociate
</div></div><div></div><div><div>OFFICE LOCATION(S)London
</div></div><div></div><div><div>JOB FUNCTIONData Engineering
</div></div><div></div><div><div>DIVISIONAsset &amp; Wealth Management</div></div></div></div><p></p>

Asset & Wealth Management - Data Scientist - Associate - London

Dentsu

<div>The purpose of this role is to facilitate delivery of best in class analytic and data assessments and roadmaps per established processes and templates in concert with other business disciplines, to manage and develop the team and serve as a point of escalation as needed.<p></p><p><b>
Job Description:</b></p><div><div><p><b>
Role Overview</b></p></div><div><p>
Analytics is a core strategic capability within dentsu, enabling smarter decisions and sustainable growth for our clients. As a Global Analytics Director, you will have two focus areas:</p></div><div><p><br>
Client Impact: Deliver advanced analytics solutions that drive measurable business outcomes for global clients</p></div><div><p><br>
Solutions &amp; Innovation: Develop scalable analytics, AI and data science solutions that can be reused, productised and embedded across the dentsu network</p></div><p></p><div><p><br>
This is a hands-on leadership role combining technical expertise, product thinking and client engagement. You will translate complex data, modelling and AI capabilities into actionable insights, solutions and products that drive growth. You will work closely with the Global Analytics leads and cross-functional teams to evolve dentsu&rsquo;s analytics proposition, moving from bespoke delivery to scalable, AI-enabled solutions and products.</p></div><p></p><div><p><br>
Role &amp; Responsibilities</p></div><div><p>
1. Client Delivery &amp; Impact</p></div><div><ul><li><p>
Manage and execute analytics and data science solutions for global clients</p></li></ul></div><div><ul><li><p>
Develop and implement measurement frameworks, MMM, experimentation and optimisation approaches</p></li></ul></div><div><ul><li><p>
Translate complex analytical outputs into clear insights, recommendations and business actions</p></li></ul></div><div><ul><li><p>
Work with client teams to embed analytics into decision-making, planning and investment strategies</p></li></ul></div><p></p><div><p><br>
2. Product &amp; Solution Innovation</p></div><div><ul><li><p>
Design and develop reusable analytics products and solutions (e.g. growth models, planning tools, experimentation engines)</p></li></ul></div><div><ul><li><p>
Contribute to the development of dentsu&rsquo;s AI-enabled analytics suite (e.g. prediction engines, decisioning systems, agentic workflows)</p></li></ul></div><div><ul><li><p>
Translate repeatable client use cases into scalable modules, frameworks and toolkits</p></li></ul></div><div><ul><li><p>
Partner with data, technology and engineering teams to industrialise solutions, from prototype to production.</p></li></ul></div><div><ul><li><p>
Identify opportunities to embed automation, GenAI and agentic solutions into analytics workflows</p></li></ul></div></div><p></p><div><div><p><br>
3. Collaboration &amp; Integration</p></div><div><ul><li><p>
Work cross-functionally to support the integration of analytics into dentsu&rsquo;s growth products and planning solutions</p></li></ul></div><div><ul><li><p>
Collaborate with global and market teams to ensure solutions are adoptable, scalable and aligned to client needs</p></li></ul></div><div><ul><li><p>
Support new business pitches with analytics input.</p></li></ul></div><p></p><div><p><br>
4. Capability Building &amp; Thought Leadership</p></div><div><ul><li><p>
Contribute to the evolution of dentsu&rsquo;s analytics, AI and data science capability</p></li></ul></div><div><ul><li><p>
Develop and codify best practices, frameworks and playbooks</p></li></ul></div><div><ul><li><p>
Provide thought leadership on AI, modelling and measurement innovation internally and externally</p></li></ul></div><p></p><div><p><br>
Skills &amp; Experience</p></div><div><ul><li><p>
Previous experience in analytics, data, or research, ideally within a media or marketing environment.</p></li></ul></div><div><ul><li><p>
Experience applying AI and advanced analytics (predictive modelling, ML, and emerging GenAI approaches) to drive decision-making and automation</p></li></ul></div><div><ul><li><p>
Hands-on proficiency in data science tools and languages (eg.Python, SQL)</p></li></ul></div><div><ul><li><p>
Ability to translate analytical work into clear insights, recommendations and actions for non-technical stakeholders</p></li></ul></div><div><ul><li><p>
Strong commercial mindset, focused on impact, adoption and business outcomes, not just analysis</p></li></ul></div></div><p></p><p><b>
What we offer</b></p><ul><li><p>
This is a permanent role.</p></li><li><p>
This is a hybrid working role with the expectation that you will be in our London office 3 times a week.</p></li><li><p>
As well as a competitive salary, you&rsquo;ll enjoy a benefits package that you can tailor to your needs.</p></li></ul><p><b><br>
Inclusion and Diversity</b><br>
At Dentsu, we embrace diversity and inclusion, valuing the unique perspectives and contributions of every individual. We believe that diversity fuels creativity and innovation, benefiting our employees, partners, and communities.<br>
<br>
We welcome applications from all individuals, regardless of race, ethnicity, nationality, religion, gender, gender identity, sexual orientation, age, disability, marital status, or any other protected characteristic. Beyond recruitment, we strive to create an environment where everyone feels respected, supported, and empowered to bring their authentic selves to work.<br>
<br>
We recognize the importance of work-life balance and are open to discussing flexible working arrangements for all roles. If you need reasonable adjustments due to a disability or medical condition during our recruitment process, please contact us at accommodations@dentsu.com, quoting the reference number of the role that you are applying for. Your needs will be handled with respect and confidentiality to ensure an inclusive and accessible experience.<br>
<br>
<b>About Dentsu</b><br>
Taking a people-centered approach to business transformation, we use insights to connect brand, content, commerce and experience, underpinned by modern creativity. As part of Dentsu Group Inc. we are headquartered in Tokyo, Japan and our 65,000 employee-base of dedicated professionals work across four regions (Japan, Americas, EMEA and APAC). Dentsu combines Japanese innovation with a diverse, global perspective to drive client growth and to shape society.<br>
<br>
Diversity, equity, and inclusion sits at the heart of our Social Impact strategy &ndash; our fully integrated sustainability strategy which includes our ambition to build a fair and more equal society, where everyone is equipped to thrive.</p><p></p><p>
#LI-Hybrid</p><p></p><p><b>
Location:</b></p>
London<p></p><p><b>
Brand:</b></p>
Global Media<p></p><p><b>
Time Type:</b></p>
Full time<p></p><p><b>
Contract Type:</b></p>
Permanent</div>

Global Analytics Director

International Swaps and Derivatives Association

<div><div><p>June 30, 2026</p>
<p><b>Job Title:</b> Assistant Director, Artificial Intelligence</p>
<p><b>Reports to:</b> Senior Director, Digital Transformation, Analytics</p>
<p><b>Location:</b> London</p>
</div><div><p><b>Job purpose</b><br>
This is a hands-on role. The successful candidate will architect and build production AI systems directly, while owning delivery, quality, evaluation, and partner management across the AI Solutions Lab portfolio. The role reports to the Senior Director of Digital Transformation and head of the AI Solutions Lab.</p><br>
<p></p>
<p><b>
Duties and responsibilities</b></p>
<ul>
<li>Deliver the next phase of the ISDA AI Solutions Lab&rsquo;s buildout, helping move current AI initiatives from prototype/MVP stage toward robust, scalable and member-ready delivery. Architect and build the next phase of AI agents, external and internal.</li>
<li>Own the design and delivery of AI solutions that make ISDA standards and digital solutions more accessible, usable and AI-ready for members.</li>
<li>Help shape and scale the ISDA Knowledge Base and Assistant as the governed foundation for AI-enabled access to ISDA standards, taxonomies and related IP.</li>
<li>Oversee enhancement of priority AI capabilities including the CDM Coder, DRR Translator, Tracer, cross-jurisdiction analysis and AI legal opinions initiatives.</li>
<li>Help drive development and rollout of internal AI capabilities and agents aligned with the internal AI deployment roadmap.</li>
<li>Define product requirements, broader Agents orchestration, architecture direction, evaluation harnesses and quality standards and delivery priorities across the AI Solutions Lab portfolio.</li>
<li>Work closely with internal SMEs across CDM, DRR, legal, IT and product teams to ensure solutions are accurate, grounded and useful in real workflows.</li>
<li>Reach out to members for pulse checks and convert member and stakeholder feedback into roadmap decisions, product refinements and delivery choices to maximize adoption.</li>
<li>Help define practical connectivity and delivery models, including MCP servers and packaged AI Skills, so members can consume ISDA AI capabilities safely within their own environments.</li>
<li>Contribute to broader ISDA AI strategy development, including alignment between external member-facing AI solutions and internal AI deployment priorities.</li>
<li>Lead AI quality, guardrails and governance across the Lab&rsquo;s solutions, including evaluation harnesses, groundedness and traceability checks, observability and tracing, confidence frameworks, security and safe use boundaries, both internally and externally.</li>
<li>Own cost aware design of AI workloads, balancing performance and reliability against inference and infrastructure spend.</li>
<li>Manage relevant external partners and specialist vendors, ensuring work is aligned to ISDA&rsquo;s priorities, timelines, architecture and ownership model.</li>
<li>Support the Senior Director including for executive and board reporting by articulating progress, key risks, delivery needs and strategic value in a clear and concise way.</li>
<li>Help build a durable internal AI capability for ISDA that protects ISDA IP, accelerates adoption of ISDA standards and reinforces ISDA&rsquo;s strategic position in the market<b><i>.</i></b></li></ul><br>
<p></p>
<p><b>
Relevant Skills / Abilities</b></p>
<ul>
<li>Strong senior-level experience (at least five years) leading the design and delivery of AI-enabled products or platforms from prototype through controlled rollout and production, with a demonstrable track record of shipping production AI systems that serve real users.</li>
<li>Hands-on engineering ability in Python (and ideally TypeScript/React for front end UI) and Java, and comfortable building production systems directly.</li>
<li>Deep understanding of LLMs, retrieval-augmented generation (including hybrid retrieval across semantic, graph and keyword search, with reranking and embedding-model selection), knowledge bases, knowledge graphs and ontologies, agentic workflows and skills, evaluation methods (eval harnesses, LLM-as-judge, groundedness and faithfulness metrics, tracing), and model risk controls.</li>
<li>Experience building secure, scalable and reliable AI solutions in enterprise environments, including governance, permissions, auditability and data protection including private retrieval architectures and ensuring proprietary data is not exposed to external model providers</li>
<li>Hands-on AWS experience (Bedrock, Neptune, OpenSearch, Lambda) is very important. Strong engineers able to ramp quickly will also be considered. Cost-aware design of inference and infrastructure spend is expected.</li>
<li>Proven ability to translate complex domain knowledge into usable AI products, ideally in financial markets, regulatory technology, legal tech, standards or data-intensive environments; or a demonstrated ability to ramp quickly on a complex domain.</li>
<li>Strong product and solution architecture skills, with the ability to define use cases, prioritize roadmap items and align technical delivery with strategic business outcomes.</li>
<li>Experience overseeing external vendors, technology partners and proof-of-concept work, while retaining internal control of direction, quality and IP.</li>
<li>Ability to work closely with subject matter experts to refine AI tools iteratively and turn specialist feedback into practical product improvements.</li>
<li>Strong grasp of structured data, taxonomies, ontology-style data models and mappings across complex standards or schemas.</li>
<li>Experience with user testing, controlled pilots, adoption planning, training and feedback loops for specialist user populations.</li>
<li>Strong judgment on AI risks, including hallucination, groundedness, security, explainability, confidence scoring and safe deployment boundaries.</li>
<li>Degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related discipline, or equivalent practical experience, is desirable.</li>
<li>Excellent communication skills, including the ability to understand member issues, to work across the organization and influence and align stakeholders, and to brief senior management and explain technical issues in concise business language.</li>
<li>Demonstrated ability to operate in a lean, hands-on environment, balancing strategy, execution and stakeholder engagement.</li></ul></div></div><p></p>

Assistant Director, Artificial Intelligence, London

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