Role : Analyst, Investment Analytics Engineering

Connor, Clark & Lunn India Private Limited, Gurugram, HR

Shift : 01:30 pm to 10:30 pm IST

We are looking for an Analyst to join our Gurugram Investment Analytics Engineering (IA Engineering) Team.

The IA Engineering Team manages a variety of investment analytics processes and functions and provides investment insights to stakeholders for an investment management firm managing over $140 billion in global assets. This is a fantastic opportunity to join a high impact, high skill team whose scope, visibility and importance, continue to grow.

We embrace an entrepreneurial spirit and culture where each of us has the opportunity to succeed. We are a solution orientated and collaborative team seeking likeminded individuals who thrive in a challenging and dynamic environment.

What You'll Be Doing

In this role you will play a critical role in the production of our post-trade analytics. You drive daily operational excellence and continuously look for opportunities to improve business outcomes. You will have the opportunity to work closely with multiple business partners including portfolio managers, information systems, other operations teams, and external service providers.

Key Responsibilities Include

• Manage the process of calculating, persisting, and auditing post-trade analytics
• Manage the production of recurring post-trade analytics reports including performance, attribution, and P&L reports
• Update consultant databases with fund information
• Proactively seek out and implement process/workflow improvements to increase efficiency, mitigate risk, and increase the level of service provided to stakeholders
• Investigate and resolve ad hoc issues as raised by stakeholders such as portfolio managers and performance analysts
• Develop data visualizations for our analytics using a variety of tools such as PowerBI
  
  

About You

The ideal candidate understands complex financial concepts and can apply technology to find insights and implement solutions.

Education : You have a degree in Finance, Mathematics, Data Science, Computer Science, Statistics or a related field. Completion of a relevant designation, such as the CFA or FRM, is an asset.

Industry Knowledge

• Experience in the asset management industry and investment analytics is an asset.
• Passion for Technology : You are motivated by working with complex data sets and extracting insights from information through the application of technology. We work with a variety of coding and visualization programs including KDB+/Q, Python, PowerBI, etc. - training will be provided if necessary.
• Data Science Knowledge : You can understand, query, and analyze results from complex datasets.
• Problem Solver : You possess an analytical mindset and can detect patterns to solve problems.
• Collaborative : You have a collaborative spirit that helps you to work well with others and you communicate effectively.
• Continuous Process Improvement Mindset : You constantly take a critical eye to processes with the goal of finding improvement opportunities and bring an ability to manage multiple Connor, Clark & Lunn Financial Group :
  
  

At CC&L Financial Group, we understand the value of opportunity - for our clients and our team. Independent and employee-owned, we partner with investment professionals to grow successful asset management businesses, giving them the space to innovate and truly make an impact.-

With more than 40 years of history and offices across Canada and in the US, the UK and India, CC&L Financial Group and our multi-boutique family of affiliate firms collectively manage over $139 billion in client assets, providing a diverse range of traditional and alternative investment products and solutions to institutional, high-net-worth and retail clients.-

For a closer look at how you can build your career with us, we invite you to explore cclgroup.com.-

CC&L Financial Group is committed to creating a diverse and inclusive environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to gender, ethnicity, religion, sexual orientation or expression, disability, or age.-

(ref:hirist.tech)