What are the responsibilities and job description for the Middle Office / Data Integrity Associate position at Aquarian Holdings?

Job Description

Aquarian is a diversified global holding company with a strategic portfolio of insurance and asset management solutions.

After launching in 2017, Aquarian finalized its first investment in 2018. Since then, Aquarian has grown to over $19.5B in assets under management. Aquarian Insurance acquires and operates companies providing retirement income and reinsurance solutions for millions of people. Aquarian Investments deploys capital into opportunities that yield attractive risk-adjusted returns with downside protection for its clients.

Aquarian's approach combines a wide and holistic view of the investment landscape with incisive decision-making and deep investing acumen. The company invests across the capital structure and creates tailored financing solutions that enable high-quality companies to grow and evolve.

The Role

Aquarian is seeking a skilled and detail-oriented Middle Office / Data Integrity Associate to join our dynamic team. The ideal candidate will have a passion for data management, strong analytical skills, and the ability to turn complex datasets into actionable insights. As a Middle Office / Data Integrity Associate, you will play a key role in helping our organization make data-driven decisions by collecting / organizing, maintaining, and interpreting data across various functions. The Investment Operations team at Aquarian collaborates with many different teams firmwide including Investments, Finance, Compliance, and Senior Leadership. This position offers an opportunity to work in a fast-paced environment and contribute to the overall success of our investment strategies.

Key Responsibilities :

Data Collection and Management :

Gather, organize, and maintain large datasets from multiple sources.

Ensure data integrity, quality, and consistency through regular validation and reconciliation / cleaning processes.

Develop and manage data pipelines and ETL processes.

Data Analysis and Reporting :

Conduct in-depth analysis to identify trends, patterns, and opportunities for improvement.

Generate reports, dashboards, and visualizations to communicate insights effectively to stakeholders.

Collaborate with cross-functional teams to provide data-driven recommendations.

Business Insights and Strategy Support :

Partner with stakeholders to define key performance indicators (KPIs) and metrics.

Deliver actionable insights to drive strategic initiatives, improve operations, and support business growth.

Conduct predictive and prescriptive analytics to forecast outcomes and recommend actions.

Tool and Technology Utilization :

Leverage data analytics tools and programming languages (e.g., Python, SQL) to manipulate and analyze data.

Work with data visualization platforms (e.g., Tableau, Power BI) to create user-friendly dashboards.

Stay updated on the latest tools, trends, and best practices in data analytics.

Qualifications :

Education : Bachelor's degree.

Experience : 3-5 years of experience in data analysis, business intelligence, or a similar role, preferably within asset management or broader financial services.

Technical Skills :

Expert with spreadsheet tools, specifically Microsoft Excel.

Proficiency in data analysis tools (e.g., SQL, Python, JavaScript).

Experience with data visualization tools (e.g., Tableau, Power BI).

Familiarity with databases, data warehouses, and cloud platforms (e.g., AWS, Google Cloud, Snowflake).

Knowledge of statistical and analytical methods.

Analytical Skills : Strong analytical and problem-solving abilities, with attention to detail and accuracy.

Communication : Excellent verbal and written communication skills, with the ability to present complex information clearly and concisely.

Team Player : Ability to work collaboratively within a team and manage multiple tasks in a fast-paced environment.

Preferred Qualifications :

Knowledge of fixed income products

Solid understanding of the Trade Life Cycle

Advanced degree in a related field (e.g., Data Science, Business Analytics)

Experience with machine learning models and tools

Familiarity with big data technologies (e.g., Hadoop, Spark)

Salary : $20

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Middle Office / Data Integrity Associate

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