As a banker in the Corporate Finance group, the candidate will assist with quantitative analysis of all aspects of corporate financial policy, including raising, allocating, and returning capital. Model markets and feed scenarios into client's company model. Execute projects by framing the project, gathering data, making sure the model results are correct, interpreting results and formulating strategies based on findings. Build new models or enhance/update existing models using Excel and VBA, and use the models across a wide range of live client projects, including but not limited to the following: debt sustainability; fixed/ float mix; DB pension risk; financial statements simulation. Partner with coverage and product teams to source data and explain results. Assist with client presentations. Team members support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable company policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements. Required Qualifications 2+ years of professional work experience 1+ year of capital markets or corporate finance experience Submit resume in MS Word format Other Desired Qualifications MBA or masters in a quantitative or finance discipline High level of competence in Excel and Excel VBA Demonstrated ability to build balancing 3-statement company models Experience with designing, building, testing, and implementing Monte Carlo simulation models for correlated stochastic processes Experience with aggregating, cleaning, summarizing and extrapolating time series data, including outlier identification and correlation analysis Experience with all aspects of corporate finance, including capital structure design, organic and market risk assessment, and impact of financial derivative overlays Strong attention to detail and the ability to work under heavy deadline pressure Join innovative corporate finance advisory group that blends cutting edge technology with deal making at this world class investment bank in New York City. The role is perfect for candidate with strong interpersonal skills who has worked in a junior role in finance, research, trading or programming or in risk management area of financial institution. Seize the opportunity to move to the front office and interact with clients.