Cobalt Recruitment

About the Company You'll be joining a global fund administrator with deep roots in private equity and a culture grounded in collaboration, integrity, and professional growth. Their technology function is embedded in strategic decision-making, and you'll have the autonomy and visibility to truly influence outcomes. Key Responsibilities: Maintain and enhance the Investran platform to support day-to-day operations and long-term scalability. Build and manage integrations between Investran and other enterprise tools to ensure data accuracy and automation. Lead technical troubleshooting, upgrades, and documentation to reduce downtime and support business continuity. Translate operational needs into system improvements by working directly with internal stakeholders. Extract and prepare data for analysis, reporting, and audits, driving better business decisions. Essential Requirements: 3+ years' hands-on experience with Investran in a private equity or fund administration environment. Deep understanding of the Investran data model, DIU, Business Events, and automation tools. Proven track record of configuring and integrating financial platforms, ideally with SQL and API experience.

About the Company You'll be joining a global leader in real estate services and technology solutions. Known for combining deep market expertise with cutting-edge innovation, this business is committed to modernising how property and investment decisions are made. You'll be part of a collaborative, forward-thinking environment that values creativity, accountability, and growth-where your contributions will directly shape the future of real estate technology. Role Responsibilities Architect, build, and optimise scalable ETL pipelines for diverse datasets. Onboard, document, and curate external datasets for internal use. Perform data validation, forensic analysis, and troubleshooting. Deliver high-quality, maintainable Python code and participate in peer reviews. Collaborate with stakeholders and researchers to support analytics and product development. Integrate data from APIs, S3 buckets, and structured/unstructured sources (JSON, CSV, Excel, PDF, Parquet). Join geospatial datasets with external data sources and apply complex transformations. Define validated data schemas and create clear documentation for partners and teams. Explore and evaluate new data engineering tools and technologies. Role Requirements 5+ years' experience in data engineering, analytics, or related roles. Strong proficiency in Python, with demonstrated experience on large-scale projects. Solid understanding of algorithms, data structures, and relational databases. Experience with test-driven development and Git version control. Portfolio of past work (GitHub contributions, open-source, blogs, or demos). Knowledge of data cleansing, validation, and basic statistics. Background in working with Agile methods and fast iteration cycles. Bachelor's degree in Computer Science, Data Engineering, or related field (or equivalent experience).

About the Company You'll be joining a global leader in commercial real estate services and investment management. Known for combining deep market expertise with innovative technology, the business is committed to modernising how investment decisions are made. You'll be part of a collaborative, forward-thinking environment where your contributions will directly shape the future of real estate technology. Role Responsibilities Design, develop, and implement generative AI and machine learning solutions for commercial real estate. Apply large language models to analyse financial documents and market datasets. Engineer and optimise prompts, as well as evaluate LLM outputs for accuracy and relevance. Build production-ready Python code and integrate models into user-facing applications. Monitor and refine model performance post-deployment, making improvements based on feedback. Collaborate with product and engineering teams to deliver solutions aligned with business goals. Role Requirements 2-4 years' experience in applied machine learning and generative AI, including work with large language models. Strong Python programming skills with experience in core ML libraries (numpy, pandas, scikit-learn, boosting methods). Proven ability to design, test, and deploy production-ready machine learning solutions. Hands-on experience in data processing and feature engineering for complex datasets. Solid understanding of machine learning algorithms and statistical modelling techniques. A degree in Computer Science, Statistics, Machine Learning, Engineering, Physics, or a related quantitative field.

Role Overview As an Application Support Analyst, you will play a vital role in ensuring smooth implementation, support, and operation of complex software applications used across the real estate sector. You will be the go-to person for troubleshooting application issues, supporting well respected clients remotely, and ensuring timely resolution of escalated cases. Role Responsibilities Provide high-quality technical and application support to clients, particularly during product implementations and software upgrades. Troubleshoot software issues via ticketing platforms (e.g., Jira, Zendesk), escalating complex problems to development or infrastructure teams as needed. Conduct regular client follow-ups and status calls to manage expectations and provide updates on issue resolution. Document support cases clearly and thoroughly for internal knowledge sharing and future reference. Collaborate closely with global team members across EMEA and the US, ensuring a unified approach to client service delivery. Build strong client relationships by demonstrating ownership, proactivity, and technical insight. Role Requirements Proven experience in application or systems support, ideally in a SaaS, ERP, or enterprise software environment. Advantageous to have exposure to property management systems. Familiarity with ticketing systems such as Jira, ServiceNow, or Zendesk. Basic understanding of accounting principles (GL, AP, AR) or experience supporting financial modules within ERP systems. Comfortable supporting users via email, phone, or remote tools. Strong analytical, problem-solving, and documentation skills. Exceptional attention to detail and process-oriented mindset. If you're passionate about software, client support, and working with smart teams on complex systems, we'd love to hear from you. Apply now or get in touch for a confidential conversation.

Company Overview Cobalt is yet again delighted to be working alongside one of the Largest Real Estate fund management businesses in the world. The business is constantly evolving in line with client demands and is looking to grow within its IT/Business Systems team. The company is looking for an adaptable and creative Yardi Voyager Support analyst to work closely with key business stakeholders and within an existing support team, which is supporting the Yardi Voyager platform globally across the UK, EMEA, and APAC regions. The Role Design and deliver financial accounting and property management change requests to the Yardi Voyager platform Operate within, and contribute to, the existing Business Solutions governance model Ensure production of consistently high-quality technical documentation for all internal stakeholders Along with fellow team members, provide on-call, out-of-hours batch support as part of a support rota and additionally provide occasional on-call/on-site weekend support, as required Maintain an understanding of regional system differences, assess options for ensuring the consistency of design approach and execution Establish data rules and principles to ensure data consistency and integrity of changes Key Requirements In-depth working knowledge of Yardi Voyager is essential Good understanding of real estate fund accounting at various levels (property, SPV, consolidation, and fund reporting) in a fund structure Must have strong Financial Services/ investment knowledge across multiple jurisdictions Experience in SQL, Yardi reporting (via SSRS, YSR), and Yardi Voyager schema is helpful but not essential. Strong documentation and communication skills are essential along with the ability to work with non-IT stakeholders Confident, proactive, and self-motivated individual, able to work on own initiative If you are a Yardi Voyager specialist and looking for a new challenge working within a well-respected, multi-National organisation, then please apply with an up-to-date CV.

Technical Account Manager London / Milton Keynes £35,000 - 42,000 per annum Company Outline Cobalt is delighted to be working closely with a global leader of bespoke high-performance software solutions. Our client employs over 6,000 specialists across 35+ offices throughout North America, Europe, Middle East & Australia, and servicing over 70 countries. Since our client's formation, they have set a first-class standard for real estate software solutions with a combination of compassion and technical innovation. They understand the unique needs of the industry's various segments and have the technical expertise and vision necessary to translate that understanding into powerful solutions that meet and exceed those needs. The Role Prioritise queries and offer a best-in-class service to clients Identification of the cause of queries received Provide an in-depth and consultative management approach with regards to resolution plans for clients when receiving queries Understand the nature of non-support queries and escalate them to the relevant departments internally Supporting clients closely on the status of their queries Maintaining the support logs in accordance with company policy with all actions updated clearly and efficiently Escalating any issues identified during day-to-day activities to Management Experience Knowledge of Financial Accounting reporting is a must-have Experience in the Real Estate market is desirable Ability to work in a pressurised environment Strong interpersonal skills and enjoy working within a client-facing role Exposure working / sound knowledge of property management systems If the above sounds as if it could be of interest, you are a people person, communicate effectively, and enjoy working as part of a team, please submit your CV for review ASAP