WELCOME TO MARS CAPITAL

Mars Capital Finance Ireland DAC (“Mars Capital”) is part of Arrow Global Group Limited, which is one of Europe’s leading integrated asset managers with €70bn Assets Under Management (“AUM”) and 2,000 employees across five jurisdictions.

Mars Capital was established in 2015 and is a Regulated Credit Servicing Firm, authorised by the by the Central Bank of Ireland and located in Dublin 2. Mars Capital has the capacity and regulatory authority to service loans secured against properties and has €8bn AUM, experiencing significant growth in recent years. We provide services that span the full lifecycle of a loan post origination, from drawdown through to loan administration, asset management, enforcement as well as syndication, securitisation, and standby servicing.

We value our relationship with our clients and believe that our deployment of dedicated, Dublin-based project and asset management teams give us a competitive advantage over other competitors who operate a shared services model across their portfolios. Placing the customer first in a simple and efficient manner in line with our regulatory obligation is our number one priority.

Our local strategic ambition is to provide value accretive services to institutional clients, while building better financial futures for our customers, clients, communities and colleagues.

Our Culture and Way of Working

We’re entrepreneurial, fast-paced and decisive, working together safely and supportively. We trust our colleagues to make the right decisions and are brave enough to acknowledge mistakes and to learn from them. Celebrating success, we reward those who help us to achieve exceptional long-term results. 

We’re inclusive and encourage our colleagues to be themselves. Our culture supports the difference that makes each of us unique.  We’re open and eager to embrace new ways of working and have a diverse community, enriched by our local identities that works collaboratively to build a unified and dynamic organisation.

We believe that a supported flexible working approach helps us to retain valued colleagues, enhance wellbeing, increase motivation and encourage a healthy work/life balance.  If you’re interviewed, ask about the flexibility involved in this role.

Our Values

Our stakeholders expect us to act in an ethical and responsible way and this is at the heart of how we conduct our business. Our values support this philosophy, and we seek out and reward behaviours that will make us more sustainable, responsible and successful. Our values are- we succeed together; we do the right thing; we’re trusted and valued; and we’re brave and creative. You’ll hear more about these throughout the interview process.

Our STAR Awards provide a fantastic platform to send a special thank you to a colleague who may have gone above and beyond to help you and the business succeed, or someone who has been brave and creative with their own approach to how they work. Values orientated, our Recognition Scheme plays a pivotal role in aligning and celebrating our culture, and simply wouldn’t exist without colleague participation and input.

Our Environmental, Social and Governance (“ESG”) Commitment

We’re committed to investing responsibly and supporting our local communities and charitable organisations.  Every colleague is encouraged to take a paid day each calendar year to volunteer for our nominated charities. Internally we are very proud of our four colleague-led engagement groups, who run events/initiatives, that promote our culture and values which is a key part of the life blood of this business.

We are looking for an experienced professional to join our team as a Data Analyst for the Tasman portfolio, a performing Residential Primary dwelling & BTL Tracker portfolio. Reporting to the Senior Customer Contact Operations Manager. In this role you will ultimately be responsible for developing the MI suite to support day to day servicing activities, portfolio monitoring and management and staff performance for the delivery of services to a third-party client, who own the portfolio.  

As a Data Analyst at Mars Capital, the individual will be key to our data-driven decision-making process. This role focuses on harnessing, analysing, and interpreting real estate, economic, portfolio and finance datasets to develop refined analytical tools and financial models.

These models and tools will play a pivotal role to analyse and interpret data in a structured templated manner; senior management's strategic decisions; team performance; risk and operations management; portfolio reviews; governance, risk and oversight KPIs; product performance.

The Data Analyst is tasked not only with ensuring data integrity but also with enhancing reporting systems, fostering inter-departmental collaborations, and delivering actionable insights to organisational teams and the leadership team.

Responsibilities:

1. Data Management & Interpretation:

• Harness, analyse, and interpret datasets to aid in data-driven decisions.
• Ensure data integrity across all analysis and reporting, including regular checks for accuracy and consistency.
• Design and implement enhanced reporting systems to streamline the flow of data and optimize data quality.
• Identify trends, patterns, and anomalies in data to provide actionable insights.

1. Analytical Tools & Financial Modelling:

• Establish and continually refine analytical tools, financial models, and processes.
• Develop interactive dashboards that combine visuals with real-time data, including external data sources, to track key performance indicators (KPIs) such as call volume, abandon rate, average queue answer time, average handling time, customer satisfaction, and agent performance. to present insights and analysis for stakeholders.

1. Collaboration & Support:

• Work closely with the contact centre team, providing them with analytical tools and data insights to facilitate their processes.
• Foster inter-departmental collaborations, especially with the IT, development, and contact centre Management teams, to improve data management practices and adhere to best standards.
• Translate technical data into simpler language, delivering recommendations, insights, and conclusions to various stakeholders, from operational teams to senior management.

1. Reporting & Performance Monitoring:

• Generate consistent management information reports that shed light on operational processes, portfolio performance, and system performance.
• Monitor and analyse data model performance, ensuring they align with governance, risk, and oversight KPIs.
• Create ad hoc reports as required by management to support specific initiatives or address urgent issues.
• Undertake specialized research and analysis based on ad hoc business needs, particularly in areas related to product performance.

1. System Optimization & Continuous Learning:

• Create and maintain comprehensive data and system catalogues, detailing data and business definitions, metrics, dimensions, dashboards, and analytical models.
• Design, perform, and analyse A/B tests on all models and dashboards to ensure they meet the evolving needs of the business and the market at large.

• Outstanding mathematical, analytical and problem-solving skills;
• Excellent data wrangling skills from discovery to publishing;
• Clear experience in database interrogation, analysis tools and data visualisation, including the use of SQL (Power BI a plus)
• Understand big data and how to clean the data along with ETL processes and building algorithms to manipulate and analyse them efficiently;
• Exceptional communication and presentation skills for explaining your work to people who don't understand the mechanics behind data analysis;
• Effective listening skills for understanding the requirements of the business;
• Excellent planning, time management and organisational skills;
• The ability to deliver under pressure and to tight deadlines with flexibility to adapt in a changing environment;
• Excellent attention to detail;
• Teamworking skills and a collaborative approach to sharing ideas, insights and finding solutions;
• Excellent knowledge of databases (relational & non-relational) and experience working with and creating data architectures;
• Experience of working in a development team in an agile environment;
• Knowledge of AI and machine learning is desirable;
• Familiarity with the banking sector will be advantageous.

Central Bank of Ireland (“CBI”) Fitness & Probity Regime

Some of our roles are Control Functions (“CF”) as defined by the Central Bank Reform Act 2010. If a vacancy is for a CF role, it will be indicated above. For CF roles, appointment will be conditional on Mars Capital being fully satisfied that the appointee meets the requirements as set out in the Fitness and Probity Standards 2018 issued by the Central Bank of Ireland.  In the case of proposed appointees to Pre-Approval Control Functions, this includes prior approval by the CBI of such appointments.

D&I statement