Associate/VP - Cross Asset Analytics Developer - Quantitative Research - Investment Bank (3-8 yrs)
You'll contribute to the firms product innovation, effective risk management, financial risk controls. Specially, you'll have the chance to:
- Develop Athena (Python) analytics software that is used to price and risk manage financial products;
- Design strategic, efficient, scalable and usable cross asset frameworks with the aim of establishing golden standards across all QR streams;
- Design and develop software frameworks for analytics and their delivery to systems and applications;
- Optimize code and business processes, providing expert guidance to desk-aligned quant teams in using frameworks;
- Support end user frameworks and, communicate with desk-aligned quant teams and technology groups;
About You
- You're passionate about software design and writing high quality code;
- You're interested in applying agile development practices in a front-office trading environment;
- You demonstrate quantitative and problem-solving skills;
- You demonstrate proficiency in object oriented programming and code design, with primary focus on Python;
- You quickly grasp business concepts outside immediate area of expertise and adapt to rapidly changing business needs;
- You think strategically and creatively when faced with problems and opportunities. You always look for new ways of doing things;
- You're attentive to detail and easily adaptable;
- Your excellent communication skills, both verbal and written, can engage and influence partners and stakeholders; You are good at communicating concepts and ideas, also via documentation, and you are keen to defend their validity and tailor messages to different audiences;
Desirables
- Graduate degree (Bachelors or equivalent) in Engineering, Computer Science, etc.
- Markets experience and general trading concepts and terminology is useful to be familiar with;
- Direct experience of agile software methodologies;
- Orientation towards careful system and solution design and implementation;
- Robust testing and verification practices;
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