Asset Servicing - AVP

West End
3 weeks ago
Create job alert

Asset Servicing - AVP working for an international Investment Manager who specialise in the Loans and Consumer Credit sphere. The office is based in London's West End, but the wider organisation has teams situated in the US and multiple European locations.

Client Details

Well known global Asset Manager who has offices in the US and Europe. They specialise in the Mortgage and Consumer Credit fund sphere. They employee circa 2000 people globally and are looking to add to their London based Asset Servicing Team in a Fund Ops capacity.

Description

This individual will play a key leadership role overseeing asset servicing and post-closing operational workflows for the European portfolio of whole loans and structured credit products. In this high-impact role, you will focus on enhancing and streamlining operational processes to improve efficiency and accuracy while maintaining synchronisation across reporting, reconciliation, and system updates. You'll collaborate with deal operations and broader finance teams based in Europe and USA ensuring accuracy of high data quality in order to optimise asset servicing and reporting processes. Strong communication skills are essential, as the individual will collaborate closely with business leaders, investment managers, transaction managers, lenders, servicers, and trustees. The successful candidate will be responsible for building new workflows, optimising existing processes, and leading a team to support evolving business needs.

Lead and oversee the end-to-end asset servicing operational workflows for portfolio of whole loans (Residential, Consumer, Commercial), including asset-based financing, securitizations and structured credit products.
Manage and oversee daily reconciliation processes with document custodians, third party servicers, trustee cash accounts and lender waterfalls.
Serve as a key resource in the deal onboarding process to oversee deal treasury workflows, ensure portfolio management systems are correctly set up with connectivity and reconciliation parameters to support asset servicing workflows.
Serve as a champion and key subject matter expert on all post-closing operational workflows related to servicing and financing transactions, driving key decisions and providing expertise to all internal teams.

Lead initiatives and work directly with investment managers and servicing oversight to produce and streamline loan level data and reporting including playing an active role in the valuation process while reviewing and reconciling the monthly NAV and P&L.

Partner with Technology, Finance and Deal Operations teams to enhance reporting capabilities and optimise data management.

Build and maintain strong relationships with third party servicers, trustees and lenders.

Lead initiatives to enhance and automate deal operations using tools such as Excel, Power BI, Arcesium, and Alteryx to improve process efficiency and support scalability.

Perform data quality checks across systems to ensure accuracy and synchronisation of key data points throughout all processes.

Proactively drive process improvements and creatively seek ways to uncover additional efficiencies.Profile

Asset Servicing - AVP

SKILLS/KNOWLEDGE/ABILITIES

Previously have held a similar Asset Servicing role, specifically within Mortgages / Consumer Credit or similar
Demonstrate sound judgement and decision-making skills, taking ownership for outcomes and delivering strong results.
Strong tech forward mind-set, proficiency in Excel, Alteryx, Power BI, SQL, Python or other management reporting tools is a strong plus.
Strong conceptual understanding of financial products and investment vehicles for whole loan investments.
Experience with residential, consumer and commercial whole loan investment workflows is a strong plus.
Strong financial acumen and analytical skills.
Strong attention to detail to ensure the accuracy of transaction level data sets.
Comfortable working with large data sets; experience analysing and reconciling deal level data.
Ability to interpret and apply analysis to complex documents and transactions.
Strong relationship management skills with the ability to interact effectively with fund managers, servicers, trustees, and senior management.
Excellent organisational and problem-solving skills, with the ability to manage multiple tasks and oversee recurring processes in a fast-paced environment.
Strong verbal and written communication skills, with the ability to collaborate across teams and departments, and effectively present to senior management.
Demonstrated ability to proactively drive process improvements and creatively seek ways to uncover additional efficiencies.

Education and Experience

An undergraduate degree in accounting, finance, or related field is required; an advanced degree or relevant certification is a plus.
Experience in operations, fund accounting, or finance, preferably within the mortgage or asset management industries.Job Offer

Asset Servicing - AVP, Fund Administration role

Industry: Financial Services, specifically Asset Management

Based: London, West End

Salary: £75-100k base plus bonus

Related Jobs

View all jobs

Head of Building Safety & Compliance

Head of Customer Safety (Property / Building Compliance)

Cross-Asset Risk Premia Research - Quantitative Strategist - Vice President or Executive Direct[...] (Basé à London)

Cross-Asset Risk Premia Research - Quantitative Strategist - Vice President or Executive Direct[...] (Basé à London)

Quantitative Developer (Low Latency) EMEA (F/M/D) (Basé à London)

QuantitativeResearch-CoreAnalyticsDevelopment-VicePresident

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.

Quantum-Enhanced AI in Data Science: Embracing the Next Frontier

Data science has undergone a staggering transformation in the past decade, evolving from a niche academic discipline into a linchpin of modern industry. Across every sector—finance, healthcare, retail, manufacturing—data scientists have become indispensable, leveraging statistical methods and machine learning to turn raw information into actionable insights. Yet as datasets grow ever larger and machine learning models become more computationally expensive, there are genuine questions about how far current methods can be pushed. Enter quantum computing, a nascent but promising technology grounded in the counterintuitive principles of quantum mechanics. Often dismissed just a few years ago as purely experimental, quantum computing is quickly gaining traction as prototypes evolve into cloud-accessible machines. When paired with artificial intelligence—particularly in the realm of data science—the results could be game-changing. From faster model training and complex optimisation to entirely new forms of data analysis, quantum-enhanced AI stands poised to disrupt established practices and create new opportunities. In this article, we will: Explore how data science has reached its current limits in certain areas, and why classical hardware might no longer suffice. Provide an accessible overview of quantum computing concepts and how they differ from classical systems. Examine the potential of quantum-enhanced AI to solve key data science challenges, from data wrangling to advanced machine learning. Highlight real-world applications, emerging job roles, and the skills you need to thrive in this new landscape. Offer actionable steps for data professionals eager to stay ahead of the curve in a rapidly evolving field. Whether you’re a practising data scientist, a student weighing up your future specialisations, or an executive curious about the next technological leap, read on. The quantum era may be closer than you think, and it promises to radically transform the very fabric of data science.

Data Science Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Data science has become an indispensable cornerstone of modern business, driving decisions across finance, healthcare, e-commerce, manufacturing, and beyond. As organisations scramble to capitalise on the insights their data can offer, data scientists and machine learning (ML) experts find themselves in ever-higher demand. In the UK, which has cultivated a robust ecosystem of tech innovation and academic excellence, data-driven start-ups continue to blossom—fuelled by venture capital, government grants, and a vibrant talent pool. In this Q3 2025 Investment Tracker, we delve into the newly funded UK start-ups making waves in data science. Beyond celebrating their funding milestones, we’ll explore the job opportunities these investments have created for aspiring and seasoned data scientists alike. Whether you’re interested in advanced analytics, NLP (Natural Language Processing), computer vision, or MLOps, these start-ups might just offer the career leap you’ve been waiting for.

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.