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We Offer The Risk Intelligence Analytics team is part of Credit Suisse's Global Risk Intelligence Team. Our team provides decision-makers across the world with meaningful and actionable data oriented insights. Our work enables aggregating known risk (connecting the dots), forward looking and externally aware, challenging known risks, illuminating unknown risk and ensuring actively handle and reduce legacy risk while improving business return and revenue generation. Working across the organization at all levels creating partnerships to enhance analysis rigor in line with strategic priorities, building and leading advanced analytics solutions.
Provide impactful, holistic and dynamic risk intelligence with direct accountability for guiding data and analytics strategies that aligns with the global objectives, and anticipates environmental challenges. Provide market leading differentiation enabling risk managed growth.
It is a key element in improving competitive market factors such as customer experience and product development at a time when the firm is building more holistic and long-lasting customer relationships, integrating its global investment banking, wealth and asset management businesses and expanding investment into new markets.
A department which values Diversity and Inclusion (D&I) and is committed to realizing the firm's D&I ambition which is an integral part of our Global Conduct and Ethics Standards.
Opportunity to become part of highly motivated Analytics team for Credit Suisse based in Singapore focusing on building and driving analytical capabilities in creating forward looking and externally aware, predictive risk based return insights
Building capability and analytics talent who can conduct rapid diagnostics, inject analytical rigor to risk monitoring solutions
Developing the analytic solution suites and partner with IT to develop associated infrastructure that can be used cross regions and businesses
Developing consistent and scalable analytical approaches (descriptive analytics, statistical predictive modeling and machine learning) appropriate for specific markets, product lines and risk types.
Responsibility for developing, maintaining and extracting knowledge from strategic internal and external data sets
Studying fundamental and high impact business questions that directly affect the direction of the company and the industry at large
Developing and designing algorithms, building prototype versions, running multiple validations with business experts and working on their operationalization
Collaboratively work in a team with a strong team spirit in a fast paced dynamic and flexible working environment
At least 5 years financial industry experience in risk-related discipline (market/credit/enterprise). Experience covering multiple risk types will be added advantage.
Hold a PhD or Master's degree in a quantitative field (e.g. Data Science, Machine Learning, Statistics, Mathematics, and Physics), Computer Science or an equivalent education
At least 3-5 years of experience in applying statistical modelling, machine learning and / or exploratory analysis to large datasets: classification, Machine Learning algorithms both Supervised and Unsupervised with Experience in Natural Language Processing (NLP) and/or knowledge extraction from unstructured data being mandatory.
Proficient in at least one of the following: Python, PySpark, SQL and have experience in using big data platforms including the development of big data pipelines, relational database programming and distributed data processing at scale e.g. Spark or Hive.
Outstanding written, verbal communication skills and business partner management capabilities, ability to effectively collaborate and build positive relationships across all levels while maintaining integrity, responsibility and confidentiality required when dealing with sensitive data.
Experience leading a team and possess experience as an ambitious individual and who can contribute in a highly collaborative environment to achieve success for the team. High level of integrity, sense of urgency, attention to detail and quality standards. You should be able to take on added responsibilities as required and become a knowledge carrier within the team.
Understand the value of diversity in the workplace and is dedicated to fostering an inclusive culture in all aspects of working life so that people from all backgrounds receive equal treatment, realize their full potential and can bring their full, authentic selves to work. This should be further elaborated on in your application.