Intern, Product Management Job Listing at SS&C Technologies in London (Job ID R24809)

Description

SS&C is a global provider of investment and financial services and software for the financial services and healthcare industries. Named to Fortune 1000 list as top U.S. company based on revenue, SS&C is headquartered in Windsor, Connecticut and has 20,000+ employees in over 90 offices in 35 countries. Some 18,000 financial services and healthcare organizations, from the world's largest institutions to local firms, manage and account for their investments using SS&C's products and services.

Job Description

About SS&C Technologies

SS&C is a global provider of investment, financial services and software for the financial services and healthcare industries. Named to Fortune 1000 list as top U.S. company based on revenue, SS&C is headquartered in Windsor, Connecticut and has 20,000+ employees in over 90 offices in 35 countries. Some 18,000 financial services and healthcare organizations, from the world's largest institutions to local firms, manage and account for their investments using SS&C's products and services.

SS&C Algorithmics

The SS&C Algorithmics (part of SS&C Technologies Inc.) financial risk, regulatory and performance platform serves banking, insurance, asset management and hedge fund institutions. We partner with clients around the world to respond proactively and transparently to regulatory requirements and solve the most complex challenges in financial risk management and performance measurement.

About the Role

SS&C Algorithmics is seeking a highly motivated intern to work on a research project within the Product Management group.

The role will involve investigating the use of Machine Learning (ML) to help generate polynomials that can be used as proxies when simulating trades for risk management. The internship will last for a period of 4 weeks over the summer of 2024.

The deliverable from the internship will be a comparison report on different ML tools that are available and, if time allows, a working prototype that shows how a financial product can be modelled as a polynomial.

Responsibilities

• Become familiar with basic modelling of financial products (e.g. Interest Rate Swaps).
• Become familiar with basic concepts in counterparty credit risk.
• Carry out an investigation into the use of ML to help with the modelling of financial products for risk calculations.
• Produce a report on the results of the investigation.
• If time allows produce a working example that shows the modelling for a sample financial product.

Your Experience

• Undergraduate studying for numerate/technical Degree or equivalent.
• Presentation and communication skills.
• Ability and desire to adapt, learn and explore new technologies.
• High degree of initiative and learning to work with complex software products with minimal supervision.
• Familiarity with Excel.

EEO Statement / Non-agency Disclosure

SS&C Technologies is an Equal Employment Opportunity employer and does not discriminate against any applicant for employment or employee on the basis of race, colour, religious creed, gender, age, marital status, sexual orientation, national origin, disability, veteran status or any other classification protected by applicable discrimination laws.

Unless explicitly requested or approached by SS&C Technologies, Inc. or any of its affiliated companies, the company will not accept unsolicited resumes from head-hunters, recruitment agencies, or fee-based recruitment services.

Unless explicitly requested or approached by SS&C Technologies, Inc. or any of its affiliated companies, the company will not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. SS&C offers excellent benefits including health, dental, 401k plan, tuition and professional development reimbursement plan. SS&C Technologies is an Equal Employment Opportunity employer and does not discriminate against any applicant for employment or employee on the basis of race, color, religious creed, gender, age, marital status, sexual orientation, national origin, disability, veteran status or any other classification protected by applicable discrimination laws.