Financial Systems and Analytics Specialization

As financial markets become more electronic and more liquid, a higher degree of knowledge about systems and analytics is required in order to compete. Modern financial markets function as a network of systems and information flows. Understanding how these work is becoming increasingly important for careers in virtually all areas of finance including investment banking, sales and trading, asset management, and administration.  This specialization covers areas useful for careers in trading, hedge funds, risk management, information technology, and operations.

Courses in this specialization are of two types:
  • Breadth courses describe how various financial markets work and the kinds of systems, processes, and people required for managing financial businesses.
  • Depth courses provide tools and decision making skills geared towards trading, risk management, or the management of information technology and operations in a financial services company. Specifically, they provide skills that include building investment strategies, analyzing them, understanding how to compare different types of strategies or portfolio managers, how to calculate risk and know when to use various risk models, and how to use computers to exploit opportunities in financial markets.
The purpose of a specialization in financial systems and analytics is primarily to give students the ability to function effectively in the financial services industry by providing skills they need on the job from day one. Second, and more broadly, the purpose is to complement specializations in Finance by providing an understanding of how financial markets are continually disintermediated by information technologies, and the consequences of this phenomenon.

The specialization should be particularly useful to those seeking careers in any industry where information technologies and data play a key role in managing risk. Examples include trading, risk management, sales, analysts, management of information technology and operations, payment systems, etc. The specialization should also be useful to those interested in careers in the hedge fund industry and in consulting.

Academic Advisor: Professor Norman White, 212-998-0842
 

Course List

Take 9 credits from the following list: 
 
Course Number Course Title
ACCT-GB.3304 Modeling Financial Statements
ACCT-GB.3328 Financial Statement Analytics Using Python
ACCT-GB.3344 Modeling Corporate Transactions
ACCT-GB.4310 Empirical Research in Financial Accounting II
FINC-GB.2310 Managing Financial Businesses
FINC-GB.3112 Risk Management in Financial Institutions
FINC-GB.3149 Structure and Dynamics of Financial Markets
FINC-GB.3312 Risk Management in Financial Institutions
FINC-GB.3349 Equity Markets: Trading and Structure
INFO-GB.2135 Programming in Python
INFO-GB.2335 Programming in Python and Fundamentals of Software Development
INFO-GB.2336 Data Science for Business Analytics - Technical
INFO-GB.2346 Dealing with Data
INFO-GB.2350 Robo Advisors and Systematic Trading
INFO-GB.3333 Practical Big Data
INFO-GB.3336 Data Mining for Business Analytics - Managerial
INFO-GB.3350 Financial Information Systems
INFO-GB.3351 Risk Management in IT
INTA-GB.2312 FinTech Risk Management
OPMG-GB.2350 Decision Models and Analytics
OPMG-GB.2351 Decision Making Under Uncertainty
OPMG-GB.2360 Real Estate Development and Entrepreneurship
STAT-GB.2301 Regression and Multivariate Data Analysis
STAT-GB.2302 Forecasting Time Series Data
STAT-GB.2308 Applied Stochastic Processes for Financial Models
STAT-GB.2309 Mathematics of Investment
STAT-GB.3301 Introduction to the Theory of Probability
STAT-GB.3302 Statistical Inference and Regression Analysis
STAT-GB.3306 Time Series Analysis
STAT-GB.3310 Applications of Statistical Models to Business, Politics and Policy
STAT-GB.3321 Introduction to Stochastic Processes

 

For course descriptions, please see the Office of Records & Registration website.