?ｃｒｅａｔｅ and ｕｐｄａｔｅ excel based databases on a regular basis.
?gather data from various public sources and economic databases. analysis of large datasets to identify patterns & trends
?prepare dynamic ｃｈａｒts for different economies to enable visualization of the relation between different key macro-economic indicators.
?econometric analysis using time series and panel data regressions using econometric software.
?assist in preparation and publication of daily, weekly and quarterly ｄｅｌiverables.
?write short notes/commentary on economic data releases and weekly publications.
?keep abreast with important macro-economic news/developments which impact the developed and emerging markets.

job duties:

the role involves supporting the ｍｉｄdle office desk of a major multinational bank in performing reviews on structured products.

the  job duties would involve:

understanding the review process in entirety and performing reviews for equity & multi-asset desksperforming required processes along with the reviewsensuring complete documentation (observations, issues) is maintained in the processpreparing and circulating key mis reports measuring the throughput of the team internally and to the clientsclosely working with teams across client and other offshore locations to ensure streamlined product ｄｅｌiveryinterpreting client business needs and translating them into operational requirements and targetsinteracting professionally with a diverse group, ｅｘｅｃutives, managers, and subject matter experts

job duties:

support credit risk function of global banks in establishing and effectively managing the credit risk loan data remediation process:

?       work closely with process owners, experts and data leads, taking ownership of data quality improvements and remediation efforts

?       understand bank’s existing framework and understand information management practices including information lifecycle management, data moｄｅｌling, ｍａｓｔｅｒ data management across a transaction life 

?       establish a standardized process to

–      source facility related credit / legal documents and credit approval memos

–      identify credit data related to the facility (for instance: collateral, covenant, exposure, limits, thresholds)

–      analyze data from multiple sources to validate dimensions and impact of data quality issues

–      analyze data to identify data quality issues and correlate those issues with data specifications and quality rules in the standardized process

–      identify data gaps, inconsistencies across and within systems 

–      remediate through appropriate inputs across and within the systems that are part of the entire transaction cycle 

?       coordinate with other work streams to ensure data remediation efforts or outcomes adhere to project plans and requirements

?       build an adequate governance structure for timely connects with stakeholders to discuss data remediation plans, manage escalations, and effectively close the remediation process

?       partner with technology stakeholders and enterprise-wide business partners to conduct data diagnostic efforts, investigate root cause of findings, and present

recommended options for solution(s) and remediation

?       contribute to development and maintenance of data lineage, process maps, data concepts and glossaries

?       maintain inventories of issues to catalog, monitor, assess, forecast and report on data quality issue remediation efforts

?       develop and maintain metrics, scorecards, and dashboards to report on progress and impact of data quality remediation efforts

skills required:

should have 3 to 5 years of experience in credit risk function

?       credit risk data operations experience, gained either through industry or within a consulting environment; corporate, commercial/ sme or ib experience 

?       experience of relational database management, front to back system data flows, data handling, transmission, aggregation

?       demonstrated experience of working with financial products life cycles and associated data needs

?       experience with remedial / troubled loan data systems; knowledge/ experience of a wide range of credit data operations  

?       willingness to dig deep into data, and build ａｄｄitional insights into the credit portfolio

?       experience in data governance programs with knowledge of data governance principles and practices

?       good communication skills in english (verbal and written)

personal attributes / interpersonal skills required:

independent and decisive mindset; strong analytical and problem-solving skills; a structured working style with passion for deep diving into problems team player ability to work on tight deadlines excellent written and oral communication skills