at Bank of America in Chicago, Illinois, United States
Job Description
Quantitative Finance Analyst – Markets Behavior Analytics Group
New York, New York;Jersey City, New Jersey; Chicago, Illinois
Job Description:
At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day.
One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We’re devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being.
Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization.
Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us!
DETAILED Job Description
Bank of America’s Global Risk Management business is looking for a Quantitative Financial Analyst in the Market Behavior Analytics group within Global Risk Analytics. This group is responsible for developing surveillances and other sophisticated controls over activities in our Global Markets business. These controls detect potentially suspicious activities and patterns of behavior. Building these controls requires knowledge of big data techniques, ability to architect systems that can efficiently scale to hundreds of billions of data points per day, machine learning over unstructured and structured data, graph analytics, and experience with building UI for data rich applications.
Key responsibilities include:
+ Understanding financial data: schemas, flow, size, data issues, data controls, etc.
+ Building performant big data pipelines that are the backbone of building large scale surveillance systems.
+ Building surveillance models using sophisticated modeling techniques including machine learning and AI.
+ Testing the efficacy of surveillances using advanced modeling techniques.
Required Skills:
+ Successful candidates will have a Bachelor’s or Master’s degree in computer science or related disciplines.
+ At least 2 years of relevant experience in software engineering in Quantitative Finance or other industries.
+ Ability to analyze and find interesting patterns in data with at least one of the following:
+ Experience in implementing distributed algorithms on large amounts of data using Big Data, batch and streaming technologies like Hadoop, Spark, Flink, Kafka etc.
+ Experience in building user facing applications over large amounts of data using technologies like React, Angular, JavaScript etc.
+ Experience with SQL and NoSQL databases such as MongoDB, HBase, Cassandra, Oracle etc. to process large scale data.
+ Strong communication skills and ability to effectively communicate quantitative topics to technical and non-technical audiences.
+ Ability to effectively present findings, data, and conclusions to senior leaders.
+ Ability to operate independently with minimal supervision to deliver sub tasks as well as ability to participate in group settings.
Preferred skills:
+ Experience in machine learning / AI models
+ Experience with large scale financial data sets
+ Experience to code independently with minimal oversight in at least one programming language like Python or Java.
Minimum Education Requirement: Successful candidates will have a Bachelor’s or Master’s degree in computer science or related disciplines.
Shift:
1st shift (United States of America)
Hours Per Week:
40
Bank of America and its affiliates consider for employment and hire qualified candidates without regard to race, religious creed, religion, color, sex, sexual orientation, genetic information, gender, gender identity, gender expression, age, national origin, ancestry, citizenship, protected veteran or disability status or any factor prohibited by law, and as such affirms in policy and practice to support and promote the concept of equal employment opportunity and affirmative action, in accordance with all applicable federal, state, provincial and municipal laws. The company also prohibits discrimination on other bases such as medical condition, marital status or any other factor that is irrelevant to the performance of our teammates.
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