Quantitative Finance Analyst - Markets Behavior Analytics Group

Bank of America; Jersey City (NJ); On-site; USD 88,000 - 150,000; Full time

Job summary

An established industry player is seeking a Quantitative Financial Analyst to join their Market Behavior Analytics group. In this pivotal role, you will develop sophisticated controls and surveillance systems to detect suspicious activities within the Global Markets business. Your expertise in big data techniques, machine learning, and data analysis will be crucial in architecting scalable solutions. This role offers a unique opportunity to make a significant impact while working in a dynamic and inclusive environment that promotes growth and flexibility. If you're passionate about finance and technology, this is the perfect opportunity for you to thrive.

Benefits

Industry-leading benefits

Paid time off

Discretionary incentive plan

Qualifications

• 2+ years of experience in software engineering in Quantitative Finance.
• Strong analytical skills to identify patterns in data.

Responsibilities

• Build big data pipelines for surveillance systems.
• Develop and test surveillance models using machine learning.

Skills

Software Engineering

Data Analysis

Machine Learning

Big Data Technologies

Communication Skills

Education

Bachelor's Degree in Computer Science

Master's Degree in Computer Science

Tools

Hadoop

Spark

Flink

Kafka

SQL Databases

NoSQL Databases

React

Angular

JavaScript

Python

Java

Job description

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

Pay Transparency details:

US - IL - Chicago - 540 W Madison St - Bank Of America Plaza (IL4540), US - NJ - Jersey City - 525 Washington Blvd (NJ2525), US - NY - New York - 1114 Avenue Of The Americas - Grace (NY1544) Pay and benefits information Pay range $88,800.00 - $150,000.00 annualized salary, offers to be determined based on experience, education and skill set. Discretionary incentive eligible This role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company. Benefits This role is currently benefits eligible. We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.