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Assistant Manager

Gurugram, , India

Job Description:

Overview (Bank overview, GBS India overview, Function Overview)

Bank of America is one of the world’s leading financial institutions, serving individual consumers, small and middle-market businesses and large corporations with a full range of banking, investing, asset management and other financial and risk management products and services.

We are committed to attracting and retaining top talent across the globe to ensure our continued success. Along with taking care of our customers, we want to be the best place for people to work and aim at creating a work environment where all employees have the opportunity to achieve their goals.

We are a part of the Global Business Services which delivers technology and operations capabilities to all Bank of America lines of business (LOB) and enterprise functions.

Our employees help our customers and clients at every stage of their financial lives, helping them connect to what matters most. This purpose defines and unites us. Every day, we are focused on delivering value, convenience, expertise and innovation for individuals, businesses and institutional investors we serve worldwide.

* BA Continuum is a nonbank subsidiary of Bank of America, part of Global Business Services in the bank.

Process Overview:

Building out Strategies, Analytics & Process Integration team in India driving improved fraud detection & loss reduction

Job Description

In this role, you will be expected to work in our Portfolio Monitoring and Intelligence team, as well as with our internal analytics, technology, product and policy partners to deploy advanced analytical solutions with the goal of developing algorithms for anomaly detection on a portfolio level with the goal of reducing fraud losses, reducing false positive declines at the point-of-sale, improving client experience, and ensuring the Bank minimizes its total cost of fraud. 

Some tasks that this role may be responsible for include (but are not limited to):

Responsibilities:

  • Development and optimization of algorithms to detect anomalies in portfolio level behavior.
  • Analysis of the emerging threats, in collaboration with Strategy and Policy partners, and expansion/refinement of the monitoring for known high risk behaviors.
  • Design and implementation of visual dashboards supporting anomaly detection alerting process
  • Assist with the deployments of the monitoring algorithms in coordination with various Tech partners.
  • Work with Data Science team on development of the advanced anomaly detection techniques, including unsupervised machine learning.
  • Initial triage of the monitoring alerts to understand the drivers behind the anomalous behavior.

Requirements

Education- Advanced degree, preferably in Statistics/Mathematics, Applied Sciences, Engineering from a premier institute

Certifications if any-

  • Technical certifications in SAS, SQL, Python preferred

Experience:

  • 2 - 6 years of relevant experience in field of analytics
  • SAS, SQL  data analytics and Python
  • Tableau or other visualization tools
  • U.S financial services experience preferable
  • Have strong statistical knowledge
  • Understanding of business domains like Fraud/Compliance/Risk  preferable

Foundational Skills:

  • Bachelor’s degree in a quantitative discipline such as mathematics, engineering, economics, finance, business, computer science.  Master’s degree or higher preferred.  In lieu of a specific degree, advanced certifications in combination with strong experience will also be considered.
  • The candidate must be at an advanced to expert level on SQL and Statistical knowledge
  • Must have 2 - 6 years of relevant experience in field of analytics, with preference working in financial services.  Strong preference to experience in fraud or cybersecurity.
  • Candidate must have a proven track record of building and deploying analytical solutions that have resulted in material financial results and extensive management experience.  Ability to work in a fast-paced, dynamic environment is critical.  Must have exceptional organizational, project management and communications skills.

    Desired Skills:

  • Solid knowledge of SAS, R, Python, and various commercial and model generation software.  Should additionally have familiarity with other tools such as HUE, Hive, and other data gathering tools.
  • Solid experience in working with Tableau or other visualization tools; ability to present complex data in clean format, which allows analysts and senior managers to quickly identify trends and make informed decisions.

Work Timings: 11: 30 AM to 8:30 PM, 12: 30 AM to 9:30 PM

Job Location: Gurugram

Learn more about this role

Full time

JR-21074452

Band: H7

Manages People:

Manager:

Talent Acquisition Contact:

Nishath Nureen

Referral Bonus:

0