Seniorr IT Recruiter at Anlage
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Marketing Analytics Role - BFS (5-11 yrs)
Job Description
About this role:
Location - Bangalore
Shift Time - 1.30PM to 10.30PM
Open to work from Office (Hybrid mode)
Role :Individual Contributor
Organization is seeking a Senior Risk Analytics Consultant for the Home Lending Credit Risk team oversees the credit policy and risk management activities for a $1T Home Lending portfolio. The Home Lending Risk team is responsible for leading, developing and implementing strategic initiatives and processes to drive the company credit culture, risk appetite, and business performance. Home Lending Valuations Risk Management has an opportunity for a highly motivated and talented risk professional to improve risk strategies in Valuations by performing various complex activities related to business analysis.
Qualified candidates must have excellent communication skills, high degree of initiative, strong partnering and interpersonal skills, solid project/process management skills, as well as critical analytical thinking and SAS coding skills. Qualified candidates must also possess a results driven attitude committed to quality work.
In this role, you will:
- Lead or participate in moderately complex initiatives, and delivering insight and decision strategies within analytics and reporting, and contribute to large-scale planning related to Risk Analytics
- Review and analyze moderately complex data aggregation, forecasting, and reporting
- Be responsible for process production, data reconciliation, and documentation in alignment with policy governance
- Resolve data, report production and lead team to meet Risk Analytics deliverables while leveraging solid understanding of risk reporting policies, credit strategies, procedures, regulatory requests, and compliance requirements
- Collaborate and consult with peers, experienced managers, compliance, and technology to resolve forecasting, and production issues, and achieve analytic and reporting goals
- Lead projects, teams, and mentor less experienced staff
- Partner with cross enterprise risk analysts in development of common credit risk strategies
- Performing more complex analysis and/or monitoring of rule sets that maximizes the effectiveness of valuation routing;
- Providing analytical support on valuation strategies and policies to ensure company goals are met;
- Segmenting and monitoring valuation use, and making recommendations to management based on those trends;
- Producing performance monitoring and benchmarks regarding product use, accuracy, efficiency and overall effectiveness and performance;
- Coordinating the production of monthly, quarterly, and annual performance reports for senior management;
- Reviewing and analyzing trends in current population distributions and recommending strategies
Required Qualifications, US :
- 4+ years of Risk Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
- Experience in Risk Analytics, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
- At least 5 years' experience in a similar role
- Bachelor's degree or higher in a quantitative fields such as applied mathematics, statistics, engineering, finance, economics, econometrics or computer sciences
- 5+ years of experience in credit risk analytics
- 5+ years of advanced programming experience in SAS, SPSS, R or Python
- Proficiency in Microsoft Office
- Strong technical skills and problem solving skills
- Must have excellent communication skills, high degree of initiative, strong partnering and interpersonal skills, as well as critical analytical thinking
- Ability to conduct reconciliation efforts and report findings in support of research activities
- Must possess a results driven attitude committed to quality work.
- Ability to prioritize work, meet deadlines, achieve goals, and work under pressure in a dynamic and complex environment
- Flexibility with changing priorities
- Ability to interact with integrity and a high level of professionalism with all levels of team members and management
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