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Assistant Manager

Gurugram, , India

Job Description:

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 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

Global Middle Office delivers control functions responsible for providing assurance over data and processes used to record risk, P/L, balance sheet and financial results in support of Global Markets, Corporate Treasury and Corporate Investments businesses. There are seven GMO core functions that are critical in ensuring business process control:  New Business Development, Trade Capture Substantiation, P&L Validation, Risk/Position Validation, Balance Sheet Substantiation, Event Monitoring, and Front-Back Process Oversight. The QS or Quantitative Services Team is part of the Global Middle Office (GMO) Team. The Data Science Group is involved in Development, testing and monitoring of Machine Learning Models.

Job Description

Associate would be involved in entire Machine Learning Development Lifecycle.

Responsibilities

Collaborate with stake holders and identify opportunities for leveraging huge amount of unstructured financial data.

Analyze and model structured data using statistical methods and implement algorithms and software needed to perform analyses

Undertake preprocessing of structured/unstructured data and analyze information to discover trends/patterns.

Build machine learning models to automate processes and reduce operational overhead.

Present information using data visualization techniques

Coordinate with different teams to implement the models and monitor outcomes.

Perform continuous model monitoring and model support.

Build processes and tools for analyzing model performance and data accuracy.

Requirements

Qualification ; Degree in Applied Math, Statistics, Computer Science or any other quantitative field from premier institutes

Experience - 5 years and 2 Years of relevant experience should be preferred

Foundational Skills.

Strong technical skills including experience using Python/R and SQL or any object oriented languages

Familiarity with various machine learning algorithms and modelling techniques e.g. Regression (Linear and logit), Classification (SVM, Naïve Bayes,etc.)

Banking domain is preferred but not required.

Strong analytical/math skills (e.g. statistics, algebra)

Familiarity with pandas, numpy, scikit-learn & scipy

Basics of Visualization tools & techniques – eg. maptlotlib

Desired Skills

Problem-solving aptitude

Excellent communication and presentation skills

Work Timings: 11:30-8:30PM

Location - Gurgaon

Job Band:

H7

Shift: 

Hours Per Week:

45

Weekly Schedule:

Referral Bonus Amount:

0

Job Description:

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 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

Global Middle Office delivers control functions responsible for providing assurance over data and processes used to record risk, P/L, balance sheet and financial results in support of Global Markets, Corporate Treasury and Corporate Investments businesses. There are seven GMO core functions that are critical in ensuring business process control:  New Business Development, Trade Capture Substantiation, P&L Validation, Risk/Position Validation, Balance Sheet Substantiation, Event Monitoring, and Front-Back Process Oversight. The QS or Quantitative Services Team is part of the Global Middle Office (GMO) Team. The Data Science Group is involved in Development, testing and monitoring of Machine Learning Models.

Job Description

Associate would be involved in entire Machine Learning Development Lifecycle.

Responsibilities

Collaborate with stake holders and identify opportunities for leveraging huge amount of unstructured financial data.

Analyze and model structured data using statistical methods and implement algorithms and software needed to perform analyses

Undertake preprocessing of structured/unstructured data and analyze information to discover trends/patterns.

Build machine learning models to automate processes and reduce operational overhead.

Present information using data visualization techniques

Coordinate with different teams to implement the models and monitor outcomes.

Perform continuous model monitoring and model support.

Build processes and tools for analyzing model performance and data accuracy.

Requirements

Qualification ; Degree in Applied Math, Statistics, Computer Science or any other quantitative field from premier institutes

Experience - 5 years and 2 Years of relevant experience should be preferred

Foundational Skills.

Strong technical skills including experience using Python/R and SQL or any object oriented languages

Familiarity with various machine learning algorithms and modelling techniques e.g. Regression (Linear and logit), Classification (SVM, Naïve Bayes,etc.)

Banking domain is preferred but not required.

Strong analytical/math skills (e.g. statistics, algebra)

Familiarity with pandas, numpy, scikit-learn & scipy

Basics of Visualization tools & techniques – eg. maptlotlib

Desired Skills

Problem-solving aptitude

Excellent communication and presentation skills

Work Timings: 11:30-8:30PM

Location - Gurgaon

Learn more about this role

Full time

JR-21041162

Band: H7

Manages People:

Manager:

Talent Acquisition Contact:

HIMIT BHASIN

Referral Bonus:

0

Street Address

Primary Location:
Infospace, Gurugram, 122016