Our client, a leading global financial services company, has approximately 200 million customer accounts and does business in more than 140 countries. They provide consumers, corporations, governments and institutions with financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management.

Description:

Quant Developer/Analyst/Python

Key Responsibilities:

Risk Technology is looking for a Python quant developer/analyst. The candidate will help develop advanced scenario generation and valuation models for Counterparty Credit Risk Management. The role requires excellent communication skills, strong analytical problem solving abilities, solid academic background and fundamental programming skills. Knowledge of financial products and markets is essential to succeed in this role.

Core responsibilities include:

- Design and implement scenario and stress-testing software services
- Develop expertise in the firm's standard quantitative framework
- Manage multiple tasks effectively and independently to meet deadlines

Job Skills / Qualifications:

- Advanced degree (MS or equivalent) in a quantitative field such as Math, Statistics, Physics, Computational Finance, Engineering, Computer Science
- Minimum of 6 years of software development experience, which doesn't all have to be in Python
- 3+ recent years of hands-on software development experience in Python (expert programmer)
- Familiarity with OTC Product space – knowledge of fundamental traded products, valuation methodologies, market data, basic risk management concepts
- Strong experience developing software on Linux; standard unix tools, such as make, bash scripting, git
- Some source control, e.g. git
- Able to communicate and interact effectively with technical counterparts in IT and the firm quant group
- Well-organized, and able to meet delivery commitments
- Experience using standard Python libraries such as pandas, numpy, flask

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