Skills

Python Data Analysis SQL Risk Management Research Programming Analytical Skills SQL Server Software Development Analytics

Job Specifications

The risk technology team is responsible for building out the firm’s in-house pricing platform and PNL and risk systems that are used by portfolio managers, risk management, finance and product control teams. The team sits within the Front office technology group which also contains quant research, data technology and rapid application development teams.

About the Role: As the fund continues to expand its trading presence globally, there is a desire to further build out the firm’s pricing and risk platforms, supporting the front office’s ability to manage and structure trades whilst allowing the risk management group to evaluate risk across the trading book.

Pricing and risk analytics are developed and enhanced to ensure the firm is able to take advantage of dynamically evolving market opportunities. The team provides desktop and web front end clients as well as a pricing platform that is consumed mainly through Excel and Python.

This is an exciting opportunity to work for one of the strongest performing funds in the world, supporting and building out solutions in collaboration with trading. The successful candidate would gain experience in all financial markets and work with some of the best traders, technologists and quant researchers in the world.

The role will require strong mathematical and programming skills with the core pricing libraries being written in C#/C++. As this is a highly product-focused role, an understanding of one or more financial asset classes is desired. This is an excellent opportunity for a delivery focused individual with solid analytical skills and a passion for technology and financial markets to work directly on trading desk enhancements without any bureaucracy or politics.

Responsibilities:

Proficiency in C#/C++ and a good understanding of object-oriented programming principles
An understanding of financial instruments including derivatives and other structured products

Qualifications:

1+ years relevant experience, ideally within financial services or trading environments

Required Skills:

Experience with Python for data analysis and/or automation
Familiarity with SQL Server and relational database design

Preferred Skills:

Self-motivated and able to learn quickly
At least 2 years of experience in a front office pricing or risk technology role
Ability to understand OOP and how to write re-usable code within the core quant library and risk engine frameworks
Comfortable with the full software development lifecycle
Demonstrate adherence to best practices in all areas of their work

About the Company

Morgan McKinley is a global talent services expert, offering the full spectrum of solutions to meet both employers’ and jobseekers’ needs. With 19 offices in 10 countries and nearly 1000 employees, it provides 3 distinct solutions for customers. - Recruitment Solutions encompassing deep expertise across 10 professional disciplines offering temporary, contract and permanent recruitment; - Executive Search for targeted C-Suite talent searches; - Talent Solutions empowering talent acquisition to deli... Know more