Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
Job Requirements and Preferences:
Basic Qualifications:
Minimum Degree Required:
Bachelor Degree
Minimum Year(s) of Experience:
7 year(s)
Preferred Qualifications:
Preferred Fields of Study:
Financial Mathematics, Mathematical Economics, Mathematical Statistics, Statistics, Applied Mathematics, Mathematics, Engineering ,Engineering and Business
Additional Educational Preferences:
Advanced Degree in Mathematics or other quantitative discipline
Preferred Knowledge/Skills:
Demonstrates intimate abilities with, and/or a proven record of success identifying and addressing client needs in the following areas:
Developing Credit and Capital models within the Financial Services sector, including; the Retail/ Commercial banking industry, consulting, or government regulatory positions;
Knowledge in following areas is preferred : securities and derivatives valuation and risk management, including retail and/or wholesale, market and credit risk models, mortgage prepayment models, and/or complex discounted cash flow models;
Demonstrating Credit/ Capital Modeling and Data Technology skills which can advise and work with clients to build, develop, and migrate Model environment to Cloud based Data science platform s;
Experience in statistical and machine learning techniques for analyzing large sets of financial data, including sampling, hypothesis testing, optimization; time series, regression, decision tree, and cluster analyses . Displays techniques for visualizing complex financial data analyses;
Knowledge in statistical modeling utilizing SAS or R software, Excel/VBA, SQL, Python and other programming languages and applications;
Experience on cloud-based data solutions using technologies like AWS, Azure, Data Bricks, Snowflake, or other A I/ML platform s like Dataiku;
Understanding of best practices across Data Lakes Data Warehouse and Data Analytics;
Displays ability to identify and address client needs, which includes building relationships with clients, developing an awareness of Firm services, approaching client in an organized manner, and delivering clear requests for information;
Provides problem solving skills, communicates effectively in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment;
Displays ability to research and analyze pertinent client, industry, and technical matters;
Demonstrates ability to contributes to a positive working environment by building relationships with team members; proactively seeking guidance, clarification and feedback;
Demonstrates ability to identify , escalate and co mmunicate potential issues and conflicts; and,
Utilizes flexibility in handling multiple tasks by prioritizing and focusing on successful execution .
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