As a Machine Learning Engineer - Safety, you will design, build, and improve machine learning systems that help ensure Spotify experiences and recommendations are safe, responsible, and enjoyable. You will work closely with the Tech Research, Trust & Safety, and Content Platform teams to develop new approaches in areas like synthetic data, fairness, and responsible AI.

Key responsibilities include:

• Designing, building, and improving machine learning systems that power safety across personalization surfaces
• Contributing to the platformization of safety systems, enabling scalable and reusable solutions across teams
• Partnering with Product, Trust & Safety, and Content Platform to translate safety needs into practical technical solutions
• Working on both traditional ML models and generative AI systems, including integrating third-party and in-house foundational models
• Contributing to evaluation frameworks, including labeling strategies, ground truth creation, and model validation approaches

You will work with a talented team of engineers, researchers, and product managers to build scalable, high-impact systems that support both today's products and the next generation of AI-driven experiences.

In this role, you will have the opportunity to work on complex problems, collaborate with cross-functional teams, and make a significant impact on the safety and responsibility of Spotify's experiences.

The base range for this position is $184,050 – $262,928 USD, plus equity. Benefits include health insurance, six-month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, paid flexible holidays, and paid sick leave.

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As a Lead Analyst - Model Validation, you will be responsible for:

Validating different types of models used across Starling, such as IFRS 9, Forecasting, Operational Risk, AI/ML models. Producing validation reports whilst engaging with the model developers and model owners to ensure the validation findings are understood and can be addressed within the agreed timelines. Producing committee papers and presenting at committees. Presenting high-level validation findings to Senior leadership. Engaging and forming close relationships with the key stakeholders to enable good model risk management practices throughout the model lifecycle.

Requirements Graduate level education preferable, ideally in a numerical degree (or an equivalent work experience); Experience in model validation or model development, ideally across different model types. Knowledge of the AI models would be a bonus. Expert in the use of analytical tools such as Python/R/SQL/SAS and spreadsheets. Ability to articulate findings from analysis in a succinct and clear way that is suitable for the target audience. Organised, flexible and adaptable, with the ability to switch between tasks seamlessly. Strong problem-solving skills and attention to detail. Excellent communication and teamwork abilities. Good knowledge of regulatory and risk management guidelines, such as EBA guidelines, CRR and PRA rules would be a bonus.

Benefits 25 days holiday (plus take your public holiday allowance whenever works best for you) An extra day’s holiday for your birthday Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off 16 hours paid volunteering time a year Salary sacrifice, company enhanced pension scheme Life insurance at 4x your salary Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton Generous family-friendly policies Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks Access to initiatives like Cycle to Work and Salary Sacrificed Gym partnerships

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The team delivers value for users, clients, and prospects by reliably meeting commitments. We craft compelling research and applied solutions. Enable new opportunities with fit-for-purpose analytics. Apply extensive confirmed experience across the client lifecycle. In close collaboration with partner teams throughout the Aladdin Business, the team accomplishes the analytics and product development lifecycle with full ownership.

We speed up model development and delivery using agile methods. The team leads the deployment of new model features and infrastructure improvements. Encourage adoption within the Aladdin community and maintain model quality through clear processes and governance.

Analytics Product also shapes the future of the Analytics & Investor Platform by defining the multi-year strategy for analytics and investor workflows, building leading private markets and whole-portfolio analytics capabilities, shaping analytics infrastructure to support the next phase of growth, and delivering Open Analytics and APIs to enable Open Aladdin.

About Performance & Attribution: The Performance & Attribution team within Analytics Product (AP) delivers Aladdin's performance and return analytics to support better portfolio decisions and differentiate investment solutions. Partnering across investment, client, analytics, data and technology teams to deploy new architecture, models and solutions across a wide range of asset classes and client segments.

Our team is known for:

• Problem solving: We partner with investment, risk and client-facing teams to understand their business problems and provide creative solutions using Aladdin analytics.
• Innovation: We sit at the intersection of finance and technology. We conceptualize, build and implement new capabilities so Aladdin remains the best platform for clients to understand and manage portfolios and risk.
• Centralized & scalable operating platform: Aladdin is a global investment platform that helps us solve problems in a scalable and efficient manner.

About the role: We are looking for a new member in the AP Performance & Attribution Team to help support the ever-increasing demand for Aladdin's performance measurement and performance attribution capabilities.

Portfolio performance evaluation involves performance measurement, performance attribution and performance appraisal. Performance attribution plays a key role in the investment process. It provides feedback throughout portfolio management and explains investment decisions to clients. It helps investors understand the key drivers of active return: Sector Allocation decisions or ability to research attractive investment opportunities at the individual asset level.

This team plays a coordinating role in defining product strategy, conceptualizing, designing, testing, and deploying new capabilities, working closely with financial modelers, engineers, product managers and users. You will also work with clients and relationship managers to ensure that clients are getting the most out of Aladdin's performance capabilities and that client feedback is addressed appropriately.

We offer a dynamic, team-oriented environment with tremendous learning and growth potential.

Overview of Responsibility: Collaborate with Modeling and Research, Quantitative Technology, and Aladdin Product Management to analyze, create specifications for and test enhancements to performance measurement and attribution calculators and presentation capabilities.

Work closely with Quantitative Technology partners to decommission legacy processes across the performance attribution ecosystem, ensuring product designs are future ready.

Provide performance measurement and attribution subject matter expertise as a point of escalation for client inquiries and production challenges; and provide documentation of performance and attribution calculations and methodology.

Provide dedicated project ownership to deliver enhanced performance attribution analytics across the Outcome ETF range, specifically Buffer and Buy Write product ranges. This will include integrating option sensitivities, processing & incorporating vendor option data to enable daily monitoring and monthly reviews during market / dislocation events

Work with partner teams to develop and evolve the engine across new asset classes and enhance analytics delivery. Ensure alignment with industry standards, providing scale across the product.

Orchestrate the model development lifecycle for requirements, specifications, data and infrastructure planning, user acceptance testing, deployment, and release communications.

Engage with partner teams that manage analytics production and quality control processes and provide subject matter expertise and coordination to resolve sophisticated client inquiries.

Author and maintain documentation around models and related infrastructure.

Stay abreast on global finance, capital markets, geo-political scenarios, regulations, and technology trends impacting BlackRock.

About you: Candidates should have a demonstrated track record in solving difficult real-world problems within investment & risk management businesses. The candidate will be expected to use extensive quantitative skills to lead sophisticated performance analytics projects in an endeavor to evolve the analytics platform within Aladdin. Furthermore, all positions require outstanding quantitative, communication, and presentation abilities.

• 2-3 years of business analyst-related experience relevant to the development, deployment, and application of models and analytics within performance and attribution areas. Backgrounds rooted in analytics, accounting, risk, and performance are all of interest. Direct exposure working with financial derivatives (including options) and solid understanding of how these financial instruments work.

• Demonstrated success in project management with financial modelers, engineers, and product managers.

• Diligent, organized, and committed while leading multiple projects.

• Ability to pro-actively prioritize tasks, set and meet deadlines, and pay attention to detail.

• Engineering, Finance, Mathematics, Business Management or some other quantitative field of study. Bachelor’s degree required.

• Acquired technical proficiency includes experience in Unix, SQL, and scripting platforms.

• Ability to navigate a technical environment using scripting skills (e.g. Java and Python), SQL, sophisticated excel to scale activities such as model validation and software testing. Ability to read and interpret code is a plus, however, this is not a dedicated developer role.

• Experience working within an Agile environment is a plus

• Chartered Financial Analyst (CFA) or Financial Risk Manager (FRM) designation is a plus.

• Excellent quantitative and analytics skills. Ability to identify problems, design and eloquent solutions, and implement change.

• Excellent understanding of financial markets and ability to comprehend the impact of market events.

• Strong project management skills. Ability to prioritize deliverables/enquiries when multi-tasking, structure multiple communication streams and lead workflows.

• Excellent written and verbal communication skills, including the ability to document cases and user stories, write specifications, deliver presentations, communicate up and down the organization and influence partners and collaborators, both technical and non-technical.

• Superb Interpersonal Skills: You will be expected to work collaboratively with cross-functional teams to drive results and achieve goals.

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