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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.

Process Overview:

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

Job Description

  • Responsible for performing more complex analysis and modeling for multiple products with the goal of maximizing profits and asset growth and minimizing risk and operating losses and/or other financial and marketing exposures.

Responsibilities:

  • Develops complex program models to extract data and uses multiple databases to acquire statistical and financial data. Utilizes portfolio trends to propose policy/procedural changes within segmentation structure to produce optimal results. Excels at risk/reward trade off. Build relationships with external agencies. Participates in the rollout of company-wide pilot programs developed as a result of programmed models. Duties primarily include the regular use of discretion, independent judgment, the ability to communicate with multiple levels of management and the utilization of core leadership behaviors.
  •  Work with vendors and internal modeling partners to develop approval documentation for new fraud scores and algorithms.  This will include a comprehensive write-up on how the models are built, testing and validation work done, methodology, sampling, performance, etc.
  • Conduct periodic model validations on scores, looking for key metrics such as precision, recall, rank ordering of score performance, detection PSI and other metrics as needed to ensure models are performing well and not deteriorating, which could lead to unexpected fraud losses
  • Partner with our Strategies teams to communicate model performance and trends, including providing key insights into areas where scores are deteriorating or underperforming, so appropriate adjustments can be made to prevent unexpected losses
  • Work with our partners in Model Risk Management (MRM) to close out any follow-up items on partially/conditionally approved models
  • Form strategic partnerships with MRM to develop best practices for fraud model governance that satisfy both the need for quick deployments to mitigate risks, but also our internal and regulatory concerns
  • Develop dashboards and MIS to show model performance, trending, and potential issues

    Requirements

  • Education

  • Advanced degree, preferably in Statistics/Mathematics, Computer Science, Engineering from a premier institute
  • Certification:
  • Technical certifications in SAS, SQL preferred
  • Experience : 6 to 9 years of relevant experience in analytics, with around 2+ year of direct experience in model risk management.  Experience with model development and fraud analytics are preferred

Foundational Skills

  • Experience in SAS or SQL is required.  Knowledge of Python is strongly preferred.  Should also have experience with other data extraction tools like Hive, HUE, or Pig.
  • Proficiency with visualization software such as Tableau and presentation software such as PowerPoint
  • Excellent communication and organizational skills
  • Ability to think outside the box and excellent drive/desire to dig in, learn and make a difference

Desired Skills:

  • Bachelor’s degree is desired, preferably in a quantitative discipline such as mathematics, statistics, engineering, computer science, finance or business.  Post graduate degree is a plus.
  • Familiarity with other programming languages such as Python, R or Java will be preferred
  • Knowledge of data extraction tools such as Hive or HUE will be preferred

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

Job Location:  Gurugram

Job Band:

H6

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.

Process Overview:

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

Job Description

  • Responsible for performing more complex analysis and modeling for multiple products with the goal of maximizing profits and asset growth and minimizing risk and operating losses and/or other financial and marketing exposures.

Responsibilities:

  • Develops complex program models to extract data and uses multiple databases to acquire statistical and financial data. Utilizes portfolio trends to propose policy/procedural changes within segmentation structure to produce optimal results. Excels at risk/reward trade off. Build relationships with external agencies. Participates in the rollout of company-wide pilot programs developed as a result of programmed models. Duties primarily include the regular use of discretion, independent judgment, the ability to communicate with multiple levels of management and the utilization of core leadership behaviors.
  •  Work with vendors and internal modeling partners to develop approval documentation for new fraud scores and algorithms.  This will include a comprehensive write-up on how the models are built, testing and validation work done, methodology, sampling, performance, etc.
  • Conduct periodic model validations on scores, looking for key metrics such as precision, recall, rank ordering of score performance, detection PSI and other metrics as needed to ensure models are performing well and not deteriorating, which could lead to unexpected fraud losses
  • Partner with our Strategies teams to communicate model performance and trends, including providing key insights into areas where scores are deteriorating or underperforming, so appropriate adjustments can be made to prevent unexpected losses
  • Work with our partners in Model Risk Management (MRM) to close out any follow-up items on partially/conditionally approved models
  • Form strategic partnerships with MRM to develop best practices for fraud model governance that satisfy both the need for quick deployments to mitigate risks, but also our internal and regulatory concerns
  • Develop dashboards and MIS to show model performance, trending, and potential issues

    Requirements

  • Education

  • Advanced degree, preferably in Statistics/Mathematics, Computer Science, Engineering from a premier institute
  • Certification:
  • Technical certifications in SAS, SQL preferred
  • Experience : 6 to 9 years of relevant experience in analytics, with around 2+ year of direct experience in model risk management.  Experience with model development and fraud analytics are preferred

Foundational Skills

  • Experience in SAS or SQL is required.  Knowledge of Python is strongly preferred.  Should also have experience with other data extraction tools like Hive, HUE, or Pig.
  • Proficiency with visualization software such as Tableau and presentation software such as PowerPoint
  • Excellent communication and organizational skills
  • Ability to think outside the box and excellent drive/desire to dig in, learn and make a difference

Desired Skills:

  • Bachelor’s degree is desired, preferably in a quantitative discipline such as mathematics, statistics, engineering, computer science, finance or business.  Post graduate degree is a plus.
  • Familiarity with other programming languages such as Python, R or Java will be preferred
  • Knowledge of data extraction tools such as Hive or HUE will be preferred

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-22014276

Band: H6

Manages People:

Manager:

Talent Acquisition Contact:

Nishath Nureen

Referral Bonus:

0