Quantitative Researcher - PM Analytics

Job description

Tasks

• Working with and analyzing large amounts of data
• Development of analytics, KPIs, metrics
• Carrying out research to inform investment decisions
• Writing code, extracting insights and building reporting mechanisms
• Provide actionable insights to AIM and effectively utilize these insights to generate cross-functional learnings and synergies

Requirements

Essential

• Expertise in a high-level language, ideally Python
• Excellent analytical skills, recognized by colleagues as an expert in your field
• Good understanding of statistics and/or ability to learn quickly
• Proficiency in Python/SQL/R or similar languages

Advantageous

• 2-5 years of experience in an investment bank or similar environment
• Strong background in rigorous research and/or portfolio construction
• Experience in portfolio management, systematic trading or data science
• Proficiency in Linux, SQL, Excel, R, VBA
• Experience with machine learning libraries such as pandas

Personal characteristics

• Strong academic background and degree with high mathematical, statistical and computational content (e.g. mathematics, computer science, engineering, economics or physics from a leading university)
• Ability to think creatively and pay attention to detail
• Known interest or experience in financial markets
• Experience in building, testing with data and explaining complex ideas and projects to company executives
• Results with a data-driven analytical approach to problem solving and positive attitude
• Self-motivated with the ability to manage time effectively across multiple projects and with competing priorities
• Strong interpersonal skills; able to establish and maintain close working relationships with quantitative research teams and partners
• Recent experience in dealing with complex software systems and platforms
• Confident communication; able to argue a point convincingly and deal positively with conflicting views

We offer

• A performance-driven, data-driven culture with a small company that knows no rules
• A fast, focused, transparent and collaborative working environment
• A great opportunity to grow and have an impact on our work
• A fantastic open-plan office space with a view of the Thames
• A great campus with various amenities such as a fitness center, Postman bikes, a music room and a table tennis room
• A partnership with King's College London Mathematics School and Aon to deliver our education program