Our client, a Global Wholesale Banking group are seeking to recruit a Risk Management Professional to Lead the EMEA Risk (Market, Models, Stress Testing) Audits.

The role is aligned to the capital markets audit team and will act as an independent SME group advising the Global Head of Capital Markets Audit on technical aspects of Models and Market Risks. You will have coverage of multi-jurisdictional areas and cover all product lines. You will work closely with other Risk Audit teams who cover the regulatory, controls and governance elements of the Audit.

• The Role
• Define and plan the scope of audit work required
• Plan and execute audits for risk management
• Continuous monitoring of the ongoing audit process through all key stages
• Working with both the local and global audit teams to establish full audit coverage and the scope of work required
• Responsible for the management and mentoring of the Risk Audit team
• Reporting to the Global Head and carrying out special projects and ad hoc work as required

Requirements

• Experience working at a high level in a risk environment of a similar EU / US banking organisation with structured capital market products.
• SME experience within 1st / 2nd line Market Risk / Pricing Risk Models (VAR, Beta, CVAR etc), with some knowledge of other risk areas.
• Previous experience in Internal Audit preferred but not required
  Appropriately educated to post graduate / Phd standard, with professional risk management qualifications preferred.

Location / WFH

This role can be 100% remote working from home or hybrid working in London. To be considered please apply below.

Our client, a top tier financial institution based in Toronto Canada are looking for the best in class Scala developers, Functional programmers, Machine Learning Experts and Data Scientists.  You will join a newly formed product group that is currently developing the next generation etrading (electronic trading) pricing and risk technology platforms using the latest functional programming techniques to deliver highly concurrent real-time solutions.

My client is currently building highly scalable, efficient, cost effective, distributed applications on commodity hardware using a mixture of open source and proprietary technologies. This is a pilot project that is blazing a trail towards a more wide ranging initiative and will involve deep collaboration with exceptional group of software engineers, quantitative analysts, business analysts, Dev-Ops engineers and enterprise/solution architects.

We are looking for self-motivated, driven technologists, programmers, machine learning experts and data scientists who want to solve complex problems arising from building distributed and highly concurrent systems. Your primary responsibility will be delivering solutions to the Fixed Income and Derivatives business for this global financial powerhouse institution.

You will be working closely with other members of the global team who include specialists in functional programming, data science, software engineering, machine learning and data analysis and with the front office trading desks to define product features, determine scope, build estimates, design and develop systems. You should have a strong software engineering background with hands-on design and development experience in building highly distributed, scalable and concurrent applications.

Qualifications required:

• MSc or PhD in Computer Science or related degree from an accredited university or BSc with significant relevant industry experience
• Functional programming skills, strong computer science foundation; technology stack include UI : (Drools (KIE), jBPM); RT Processing: (Scala, Apache Spark, distributed NoSQL database using JSON); Near time: (sharding), Big Data – Hadoop; RESTful API
• Excellent mathematical skills
• Experience of building large scale applications, machine learning and big data
• Knowledge of building automated testing and performance testing is a plus

Industry: Financial Services