As a Quant Analytics Professional in our Finance team you will spend each day defining, refining and delivering set goals for our firm.
Job Responsibilities
- Contribute toward various model development efforts including but not limited to Time Series Forecasting models. They are expected to be a quick learner who are eager to learn and experiment with various quantitative techniques (e.g. – Econometric Modelling, ML techniques) to solve business problems.
- Facilitate the maintenance of the models owned by the team, as per firm’s model risk guidelines
- Support various forecast generation activities using models owed / used by the team – ensuring the integrity of the inputs and output
- Participate in business user review and testing activities of the aforementioned models, and to provide recommendation for improvement of the models, as appropriate.
- Contribute towards ongoing / ad-hoc analyses in a timely manner leveraging various analytical/data manipulation tools and techniques supported by strong business judgement. They are expected to have strong communication skills to articulate such analysis findings to the senior management
- I nterface with multiple stakeholders across the spectrum, including but not limited to CCB Leadership, various upstream/downstream teams and technology partners
- Work individually / as a part of a team to deliver various analytical and process improvement projects, producing timely, measurable and high quality deliverable
- S upport various documentation (e.g. – Model documents as a part of regulatory submissions) and reports (shared with senior management/regulators) by leveraging strong written communication abilities.
Required qualifications, capabilities, and skills
- 5+ years in Finance, management consulting or other financial/analytical/risk roles
- Understanding of Econometric modelling (e.g. – OLS, Time Series modelling) is required
- Strong quantitative, critical thinking and analytic skills excellent quantitative and analytical problem-solving skills, ability to comprehend and clearly communicate complex concepts in a fast- paced, dynamic environment
- Strong interpersonal, verbal and written communication skills
- Strong Knowledge of Microsoft Word, Excel, PowerPoint Required,
Preferred qualifications, capabilities, and skills
- Minimum Bachelor’s degree (Master’s degree preferred )in Analytics/ Economics or other related Quantitative majors, CFA/FRM a plus
- Understanding of analytical and database platforms / framework e.g. - Essbase / Databricks / SQL is preferred
- Expertise in python is required, understanding of macro-economic/business environment is a plus
- Data Science capabilities, Experience in AI/ML is a plus. Experience with automation is a plus