Risk Analytics – Assistant Vice President at Citi

Gurugram, haryana, India -

Full Time

Start Date

Immediate

Expiry Date

11 Apr, 26

Salary

0.0

Posted On

11 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Risk Analytics, Statistical Analysis, Data Modeling, SAS Programming, SQL, Data Analysis, Data Mining, Predictive Modeling, Project Management, Communication Skills, Detail Oriented, Data Visualization, Python, Tableau, Coaching, Training

Industry

Financial Services

Description

Evaluates moderately complex and variable issues with substantial potential impact, where development of an approach/taking of an action involves weighing various alternatives and balancing potentially conflicting situations using multiple sources of information. Develops, enhances, and validates the methods of measuring and analyzing risk, for all risk types including market, credit and operational. Also, may develop, validate and strategize uses of scoring models and scoring model related policies. Conducts statistical analysis for risk related projects and data modeling/validation. Applies quantitative and qualitative data analysis methods including SAS programming, Structured Query Language (SQL) to extract, transform and analyze data and Visual Basic programming language. Prepares statistical and non-statistical data exploration, validate data, identify data quality issues. Conducts data analysis, data mining, read and create formal statistical documentation, reports and work with Technology to address issues. Analyzes and interprets data reports, make recommendations addressing business needs. Uses Predictive modeling methods, Optimizing monitoring systems, document optimization solutions, and present results to non-technical audiences; create formal documentation using statistical vocabulary. Generates statistical models to improve methods of obtaining and evaluating quantitative and qualitative data and identify relationships and trends in data and factors affecting research results. Validates assumptions; escalate identified risks and sensitive areas in methodology and process. Automates data extraction and data preprocessing tasks, perform ad hoc data analyses, design and maintain complex data manipulation processes, and provide documentation and presentations. Involved in coaching and training of new recruits Significant impact in terms of project size, geography, etc. by influencing decisions through advice, counsel and/or facilitating services to others in area of specialization. Work and performance of all teams in the area are directly affected by the performance of the individual. 7+ years' experience Proficient in Microsoft Office with an emphasis on MS Excel Proficiency in data analysis and visualization tools such as Python and Tableau is required to effectively manage, interpret, and present complex risk data and models Consistently demonstrates clear and concise written and verbal communication skills Self-motivated and detail oriented Demonstrated project management and organizational skills and capability to handle multiple projects at one time Bachelor's/University degree or equivalent experience in a quantitative discipline: Statistics, Mathematics, Economics, Econometrics, Management, Operations Research or Engineering Analytical Thinking, Business Acumen, Constructive Debate, Data Analysis, Escalation Management, Policy and Procedure, Policy and Regulation, Risk Controls and Monitors, Risk Identification and Assessment, Statistics. ------------------------------------------------------ For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------

Responsibilities

The role involves evaluating complex risk issues and developing methods for measuring and analyzing various risk types. Additionally, it includes conducting statistical analyses and preparing documentation and reports.