Manager, Risk Analytics – Counterparty Credit Risk Innovative Analytics

Daily Responsibilities:

As the Manager in Innovative Analytics Team, you will play a key role in contributing to continuous research, design and delivery of an advanced multi-disciplined risk analytic platform within the Capital Markets Counterparty Credit Risk Management Team.

Nurturing culture and facilitating learning and knowledge sharing will be second nature to you as well as applying your technical know-how to ensure that the Innovative Analytic team is on the leading edge of technical delivery practices. You’ll have the tools and support needed to achieve extraordinary results that make a significant impact extending beyond the boundaries of traditional technology roles. Ideas start here – and you will build great technology.

If you’re a hands-on technical expert with proven experience operating within high-performing teams, are continuously learning, and excited to collaborate with those around you—we have a spot for you on our team.

• Develop a thorough understanding of the current state of CCR analytic frameworks, end-to-end CCR metric generation processes and their connection with various upstream source systems.

• Contribute to the research, development and implementation of new mathematical models for calculating various CCR measures. Considerable amount of creative, innovative & analytical thinking and problem solving is required.

• Demonstrate exceptional communication skills (written and oral) by synthesizing key messages across distinct domains into a coherent action plan.

• Leverage data analysis, querying and data exploration knowledge on CCR’s diverse number of data sources to perform statistical analysis, build machine learning models and deploy production-grade solutions for identifying insights and opportunities.

• Become an expert in understanding CCR Innovative Analytics Team’s exiting libraries, leverage them to support delivery of new initiatives in collaboration with various CCR teams and lead KT sessions when required.

• Partner with and support other teams as required; there are many teams, yet we are one team.

What program/technology/software knowledge is essential for this role?

Expert level Python & SparkQL

Must-have Skills/Experiences:

• Graduate degree in STEM fields; double-major in Economics/Finance/Business and STEM. Strong grasp of fundamentals in statistics (hypothesis testing, regression, inference, and time series) and one of the key risk pillars (market, credit or liquidity).

• Exceptional development expertise in Python programming writing production-grade code. Expertise with object-oriented and event-driven architecture (OOAD & SOLID principles) and Spark frameworks.

• Strong data profiling, cleaning, engineering, mining and technical documentation skills; SQL/Data Stores: SQL, PostgreSQL, S3, HDFS and SparkQL.

• Hands on experience with system configuration and DevOps tools (Jira, Git, GitHub and Confluence).

• Self-starter with excellent communication skills, with proven ability to grow and mentor more junior technical professionals.

• Strong quant data background

Nice-to-have Skills/Experience:

• Experience developing interactive and sophisticated dashboards that communicate complex data insights to a diverse set business stakeholders.

• Familiarity with building dashboards using Plotly and Dash in Python is an asset.

• Experience with Airflow, graph databases, Jupyter Notebooks, other ML-related technologies.

• Familiarity running distributed ML workloads in cluster orchestrated environments.

• Experience with HTML, CSS and Web Development would be an asset.