Bank Of America Analyst - GBS R 

India, Maharashtra, Mumbai 

242933002

Job Description

The candidate will have dual responsibilities and will need to be a Product and Techno-functional expert. The candidate will support syndication of instruments including providing financial and qualitative analysis as well as assistance in underwriting, committing, and closing transactions.

• Possess basic financial/capital markets domain knowledge: Debt overviews including detailed debt profiles, comparable comps, capital structure and financials, IPO targeting analysis etc.
• Create industry-wise (FIG/ENP/CNR/TMT market presentations
• Assist in the origination and execution of equity and equity-linked transactions
• Design data summarization and visualization techniques to convey key applied analytics findings
• Create and maintain client advisory materials and wedges on Equity market interventions
• Have basic understanding of ESG landscape
• Identify scope for new deliverables, ideate and present new ideas to senior leadership and LOB desks
• Work on credit agreement analysis including liens, covenants, pricing grid, ABLs (borrowing base, access availability, cash dominion), swinglines etc.
• Possess basic understanding of / willingness to learn details of bond pricing, yield, spread, duration calculations for weekly projects
• Have knowledge of / motivation to analyze debt ratios like leverage, FCCR, Capitalization, valuation (debt/equity) techniques etc.

• Build and apply data analysis algorithms (data mining, statistics, machine learning, natural language processing, sentiment analysis, text mining, etc.) as appropriate
• Help stakeholders make data-driven decisions by working with structured and unstructured data sets; build out predictive models and advise stakeholders on leading practices
• Improve financial status by analyzing results, monitoring variances, identifying trends and recommending actions to management
• Examine and assess economic and market trends, earnings prospects, financial statements and other related indicators to determine suitable investment strategies
• Develop quantitative and qualitative analysis to uncover key insights about target investments, mostly in the debt/equity space
• Collaborate with the business to create data-driven solutions and frameworks
• Support long-term Data Science projects including leading advanced analytics and building visualizations
• Communicate data insights in a simple and non-technical manner to key stakeholders and senior management team

Requirements

• Education :Master’s Degree in Finance, Business, Economics, Accounting or other relevant areas / Bachelor’s degree in computer science or Statistics + MBA / Bachelor’s degree in computer science or Statistics + MBA
• 0-3 years experience in Data Analyst/Statistical Analyst
• Foundational Skills:
• Basic capital markets domain knowledge and willingness to learn and work on “Finance” projects such as debt comparables, capital structures etc.
• Strong passion for financial markets: understanding of or interest in, finance and investments
• Detailed oriented with strong quantitative and analytical skills
• Database experience – e.g. building tables, views, and jobs and experience working with large datasets containing sensitive information
• Fundamental statistics and mathematics (e.g. linear regression, hypothesis testing, probability distributions, etc.)
• Knowledge of building statistical and algorithmic models with complex and large data sets such as supervised statistical learning, times-series analysis, regression analysis, data visualization and deep learning
• Understanding of machine learning concepts (e.g. structured vs. unstructured data, bias vs. variance, scoring metrics, etc.)
• SQL programming skills, data manipulation and transformation knowledge required
• Python, R or SAS, Java/C# and Scala
• Data visualization experience (Tableau, Alteryx)
• Experience using data mining and statistical tools
• Desired Skills: Solid pattern recognition and predictive modelling skills

Experience Range

0-3 years

Work Timings

10.30am to 7.30pm

: Mumbai