The Apprentice – Technical Implementation role is designed for recent graduates and early-career professionals looking to build a career in Financial Technology (FinTech), Enterprise Software Implementation, and Investment Management Systems.
As an Apprentice, you will undergo structured training and gain hands-on experience supporting the implementation of the Charles River Investment Management Solution (CRIMS). You will work with experienced consultants and technical leads to learn software development, data management, system integration, testing, and application support concepts while contributing to real client implementation projects.
This role provides an excellent foundation in software engineering practices, capital markets technology, and enterprise application development.
What We Are Looking For
We are seeking enthusiastic and motivated individuals with:
0–2 years of experience (including internships or academic projects)
Strong interest in software development and financial technology
Basic understanding of programming concepts and database technologies
Willingness to learn enterprise applications and investment management workflows
Good analytical and problem-solving abilities
Strong communication and collaboration skills
Positive attitude, curiosity, and continuous learning mindset
Key Responsibilities
As an Apprentice – Technical Implementation, you will:
Participate in product implementation and support activities under guidance from senior team members.
Learn and assist in configuring application components based on business requirements.
Support data analysis, validation, and reconciliation activities.
Write and execute SQL queries to analyze and validate application data.
Assist in developing simple programs, utilities, and automation scripts.
Participate in system testing activities including functional, integration, and regression testing.
Help investigate and troubleshoot application issues.
Learn software development lifecycle (SDLC) processes and delivery best practices.
Support documentation activities, including technical specifications, test cases, and implementation guides.
Collaborate with global teams across Engineering, Product, and Professional Services.
Participate in training programs focused on product knowledge, software engineering, and capital markets concepts.
Learn and apply secure coding, quality assurance, and support practices.
What We Value
Successful apprentices demonstrate:
Strong learning agility and curiosity
Analytical thinking and problem-solving abilities
Attention to detail and quality
Teamwork and collaboration
Ownership and accountability
Effective verbal and written communication
Passion for technology and innovation
Interest in Financial Markets and Investment Management
Technical Skills & Knowledge
Programming Fundamentals
Basic understanding of:
Java Programming (Core Java)
Variables, Data Types
Loops and Conditional Statements
Methods and Functions
Collections
Exception Handling
Object-Oriented Programming (OOP)
OR
C# Programming
Classes and Objects
Inheritance and Polymorphism
Collections
Exception Handling
Basic .NET Concepts
Database & SQL
Basic knowledge of:
Relational Database concepts
SQL Queries
SELECT, INSERT, UPDATE, DELETE statements
Joins and Subqueries
Views
Basic Data Validation techniques
Understanding of tables, keys, and relationships
Software Engineering Fundamentals
Exposure to:
Software Development Lifecycle (SDLC)
Version Control concepts (Git preferred)
Debugging and Troubleshooting
Unit Testing concepts
Application Deployment fundamentals
Client-Server Architecture
APIs and System Integration basics
Enterprise Application Concepts
Understanding of:
Business Applications
Data Processing and Workflows
System Configuration concepts
Batch Processing
Reporting and Analytics fundamentals
Enterprise Software Support concepts
Nice-to-Have Skills
Exposure to any of the following is beneficial but not mandatory:
.NET Framework / .NET Core
AI and Gen AI core concepts and optimal usage
Azure or AWS fundamentals
REST APIs
JSON/XML
Power BI or Reporting tools
Python scripting
ETL concepts
Financial Markets awareness
Generative AI / Copilot tools
Education & Preferred Qualifications
Required:
Bachelor's Degree in:
Computer Science
Information Technology
Electronics & Communication
Engineering or related technical disciplines
Strong foundation in:
Programming Concepts
Data Structures & Algorithms
Object-Oriented Programming (OOP)
Database Management Systems (DBMS)
SQL
Computer Networks (basic understanding)
Operating Systems fundamentals
Preferred:
Internship experience in software development or IT
Academic projects involving Java, C#, SQL, or web technologies
Relevant certifications (Azure Fundamentals, AWS Cloud Practitioner, Java Foundations, etc.)