Credit Risk – Data Analytics And Testing Jobs

Strong knowledge and hands-on experience with machine learning, statistics, and experimentation

3+ years experience analyzing large data sets to solve problems and drive impact

Expert knowledge of a scientific computing language (Python or R) and SQL

Experience in building scalable ETL solutions utilizing SQL, Presto, Spark and other tools

Experience in working with multiple cross-functional teams to deliver results

Act as an embedded partner to the Risk team, identifying and solving complex and ambiguous questions with data and modeling

Familiar or experience with SAP, RPA, visualization & analytics tools and/or other emerging technologies 

A strategic, pro-active person with the ability to synthesize large amounts of information to produce clear and concise presentations and reports

More comfortable working in a team environment with a strong desire to connect with people

September 19, 2023 at 11:59 PM EST

Excellent interpersonal skills and experience in highly collaborative environments

Translate business requirements into data models that will help stakeholders answer key business questions and inform strategic decisions

Experience with a cloud data warehousing (Snowflake, Bigquery, Redshift)

Experience working as part of a data team; either a data analyst, data scientist, or data engineer

Knowledge of another programming language e.g. Python is a plus

Building a high quality and scalable state-of-the-art data warehouse that powers all decision making

Minimum of 6 years' experience in IT risk management, IT Operations and Technology domain.

Maintaining a thorough understanding of CNB's Internal Controls Management Policy, control testing methodologies, and related regulatory and compliance standards;

Minimum of 12 years’ experience in Information/Cyber Security field.

Preferred Certifications: CRISC - Certified in Risk and Information Systems Control, and / or CISSP - Certified Information Systems Security Professional.

Experience with Common Controls Hub / Unified Compliance Framework.

Knowledge of Client, SEC, MSRB, FRBNY and OCC rules and regulations.

Skills, Experiences And Functional Competencies

Support the communication with model users to ensure that model limitations are properly understood, and that models meet model governance/usage requirements

Experience with cloud-based infrastructure and tools, (specifically GCP) and either Linux and/or BitBucket is beneficial

Nice to have experience with deep learning frameworks such as TensorFlow, Keras, or PyTorch

Strong communication (both oral and written) and collaboration skills, with the ability to work effectively in a hybrid team environment

Creation and maintenance of documentation for models and for the results data analysis

Creative thinker with research, analytical, and problem solving skills

Confident communicator who can translate knowledge for others

In-depth understanding of statistics and mathematics combined with business domain knowledge

Unlock insights from complex and diverse groupings of internal and external data or developed models to tell a story

Use advanced analytics techniques to enable enlightened decision-making

Choose appropriate ways to tell the story through words, visualization, and interpretation

Knowledge of databases structure and management (SQL, SAS, etc.)

Strong conceptual, analytical, and problem solving skills. Ability to manage complex and challenging processes

Knowledge in the areas of stress testing, predictive models and probability distributions, macroeconomics, and international finance is an asset

3+ years of analytical experience with a financial institution. Other industry experience will be considered based on applicability

Knowledge on credit risk methodology

A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation

Experience with TRIAD/TSYS or other account management systems would be an asset

Lead the strategy development and processes for credit limit management, authorization, pricing, re-issue, reviews, OTB management, and overlimit

All Customer Management Strategies (Line Management, Authorization, Overlimit, Pricing, Re-issue, Review)

Redesign account management strategies where necessary to leverage the new functions available in TRIAD and TSYS

Leverage Champion / Challenger capabilities wherever possible to confirm assumptions and justify changes

Bachelor’s degree or higher in Business or quantitative field such as Finance, Economics, Sciences, Math, Engineering or Computer Science

Experience in asset liability management and treasury models is a plus.

Strong client management and communication/presentation skills – written & verbal.

Strong project management experience and demonstrated expertise of communicating and coordinating across multiple business units.

Knowledge of financial crime risk management

Master’s degree or higher in Finance/Mathematics/Economics/Statistics or equivalent experience

Prior Project Management and People Management expertise

Previous management experience 2+ years

10+ years of professional experience

Demonstrated experience contributing to strategic roadmaps for lending

Experience with SQL and reporting dashboard tools like PowerBI or Tableau

Good communication skills and able to present to senior leaders

Role: Manager Analytics - Lending / Credit Risk Modelling

Strong conceptual and mathematical knowledge of financial engineering, stochastic modeling, and risk analytics is required.

Deep knowledge of credit products and rates derivatives is required.

2-5 years of work experience in risk analytics in a financial institution is preferred.

Strong programming skill in Python is required.

Development and maintenance of in-house analytical suite of libraries such as APO Analytics through partnership with Technology.

Maintenance and further enhancement of in-house risk systems and infrastructure of Apollo in partnership with Technology.

• Liaise with application development and infrastructure teams targeting on-going development, production activity and release management.

• Review requirements from business users to ensure that testing plans cover business requirements

Please review the JD below, share your updated resume.

Credit Risk – Data Analytics and Testing

• Assist in coordinating the implementation of changes to improve performance and post implementation support

• Prepare data for testing application functionalities in large, complex systems