The Solution Developer will support the delivery of technical solutions across Prudential’s Actuarial organization. As an internal consultant you will work on a variety of projects, from quick hit fixes to technology-driven re-engineering, while collaborating with smart and passionate leaders to influence results that have a direct impact on the company's bottom line. You will be responsible for building solutions that range from simple enhancements to implementing advanced technology. 
We are seeking dedicated, disciplined, continuous improvement professionals who excel in a team environment and are experienced in solution development, process improvement & agile best practices. The ideal candidate will have a background in actuarial processes / financial management and have subject matter expertise in data management and related technologies. The role offers the opportunity to work directly with leaders in the business and the fulfillment of driving results in a fast-paced environment. In addition, the candidate will be able to perform in ambiguous and matrixed environments.

Areas of Focus:

• Developing and implementing incremental improvements on stabilized processes, with a focus on task automation, spreadsheet optimization, automated reporting, etc.

• Using SQL to navigate structured and unstructured data, along with VBA, Python, C# and other technologies to analyze and manipulate data - especially around data modeling, cleansing, integration and manipulation

• Enabling data visualization using Power BI and Tableau, inclusive of leveraging Python or R to further customize visualizations

• Advanced Excel (incl. Power Query, Power Pivot, etc.), which includes building charts in Excel with VBA / C# integration, developing and rolling out Excel add-ins, macros, and UDFs (user defined functions) and automating Excel financial models to improve efficiency of production of key charts and generate value add analytics

• Experience with data tools (SQL, Python, etc.), and connecting data using SQL

• Experience with SQL best practices in writing queries (including common table expressions) and common DA/BA tools, and high familiarity with structured and unstructured databases and writing SQL with real data

• Knowledge with visualizing or optimizing data with Python, R, etc. specifically for data analysis, cleaning & visualization

• Knowledge of database systems (e.g. MSSqlServer, Oracle, PostgreSQL or equivalent)

• Familiarity with visualizing tools such as Tableau & Power BI

• Knowledge of process transformation & project management methodologies (Lean, Agile, etc.)

• Willing to learn (continuous learning mindset) emerging technologies such as Artificial intelligence, Machine Learning, etc.

• Familiarity with Actuarial / Finance related concepts

Preferred

• Bachelors' Degree in Computer Science, Engineering or related

• Hands-on experience with Git, JIRA and similar tools

• Experience with data lakes and cloud implementations