6+ SAS Jobs in Bangalore (Bengaluru) | SAS Job openings in Bangalore (Bengaluru)

We are looking for credit analysts who can help them perform threshold analysis and impact calculations to streamline their credit underwriting process. Hence, they are looking for people who have experience in doing similar or related work. Since this is an urgent requirement, your quick help is requested in filling this role.

Attaching sample profile as well.

Manager and SM - 25-50LPA

Skills: Credit analyst + SAS

Goot to have: Credit underwriting, EWS (Early warning signal),EBC regulations, IFRS9.

Level: SM or M ( 4+ years)

NP: Max 30 days.

Budget: max 45 LPA.

Loc: Pan India

Responsibilities:

• Credit Underwriting, credit appraisal process
• EWS analysis, IFRS9 staging, credit analysis, threshold analysis
• Querying and coding in SAS and SQL
• ECB regulations

• Collaborate with different teams to implement standards.
• Lead performance improvement projects.
• Work closely and influence global teams for process improvements.
• Execute project milestones promptly & effectively communicate progress to stakeholders.

Technical skills:

• Strong SQL skills (RDBMS / SnowFlake).
• Able to program in multiple languages (SAS, JavaScript).
• Functional knowledge on Supply chain & Logistics.

Soft skills:

• Ability to translate business requirements into data solutions.
• Above average initiative.
• Adaptability to changing priorities.
• Strong customer focus and ability to work effectively with a wide variety of people.
• Has the ability to work independently as well as in a team.
• Eager to learn & improve, continuously hones their skills.
• Strong solution-oriented analytic skills and shows creativity in their problem-solving.
• Has great attention to detail without losing sight of the big picture.
• Has great communication skills – Is able to represent the architect team, address their needs & requirements in meetings with process partners (inside & outside of the greater team).
• Must be willing to work in different shifts to have enough overlap with global team.

Desired Skills & Mindset:

We are looking for candidates who have demonstrated both a strong business sense and deep understanding of the quantitative foundations of modelling.

• Excellent analytical and problem-solving skills, including the ability to disaggregate issues, identify root causes and recommend solutions

• Statistical programming software experience in SPSS and comfortable working with large data sets.

• R, Python, SAS & SQL are preferred but not a mandate

• Excellent time management skills

• Good written and verbal communication skills; understanding of both written and spoken English

• Strong interpersonal skills

• Ability to act autonomously, bringing structure and organization to work

• Creative and action-oriented mindset

• Ability to interact in a fluid, demanding and unstructured environment where priorities evolve constantly, and methodologies are regularly challenged

• Ability to work under pressure and deliver on tight deadlines

Qualifications and Experience:

• Graduate degree in: Statistics/Economics/Econometrics/Computer

Science/Engineering/Mathematics/MBA (with a strong quantitative background) or

equivalent

• Strong track record work experience in the field of business intelligence, market

research, and/or Advanced Analytics

• Knowledge of data collection methods (focus groups, surveys, etc.)

• Knowledge of statistical packages (SPSS, SAS, R, Python, or similar), databases,

and MS Office (Excel, PowerPoint, Word)

• Strong analytical and critical thinking skills

• Industry experience in Consumer Experience/Healthcare a plus

Senior Data Scientist-Job Description

The Senior Data Scientist role is a creative problem solver who utilizes statistical/mathematical principles and modelling skills to uncover new insights that will significantly and meaningfully impact business decisions and actions.  She/he applies their data science expertise in identifying, defining, and executing state-of-art techniques for academic opportunities and business objectives in collaboration with other Analytics team members. The Senior Data Scientist will execute analyses & outputs spanning test design and measurement, predictive analytics, multivariate analysis, data/text mining, pattern recognition, artificial intelligence, and machine learning.

Key Responsibilities:

• Perform the full range of data science activities including test design and measurement, predictive/advanced analytics, and data mining, and analytic dashboards.
• Extract, manipulate, analyse & interpret data from various corporate data sources developing advanced analytic solutions, deriving key observations, findings, insights, and formulating actionable recommendations.
• Generate clearly understood and intuitive data science / advanced analytics outputs.
• Provide thought leadership and recommendations on business process improvement, analytic solutions to complex problems.
• Participate in best practice sharing and communication platform for advancement of the data science discipline.
• Coach and collaborate with other data scientists and data analysts.
• Present impact, insights, outcomes & recommendations to key business partners and stakeholders.
• Comply with established Service Level Agreements to ensure timely, high quality deliverables with value-add recommendations, clearly articulated key findings and observations.

Qualification:

• Bachelor's Degree (B.A./B.S.) or Master’s Degree (M.A./M.S.) in Computer Science, Statistics, Mathematics, Machine Learning, Physics, or similar degree
• 5+ years of experience in data science in a digitally advanced industry focusing on strategic initiatives, marketing and/or operations.
• Advanced knowledge of best-in-class analytic software tools and languages: Python, SQL, R, SAS, Tableau, Excel, PowerPoint.
• Expertise in statistical methods, statistical analysis, data visualization, and data mining techniques.
• Experience in Test design, Design of Experiments, A/B Testing, Measurement Science Strong influencing skills to drive a robust testing agenda and data driven decision making for process improvements
• Strong Critical thinking skills to track down complex data and engineering issues, evaluate different algorithmic approaches, and analyse data to solve problems.
• Experience in partnering with IT, marketing operations & business operations to deploy predictive analytic solutions.
• Ability to translate/communicate complex analytical/statistical/mathematical concepts with non-technical audience.
• Strong written and verbal communications skills, as well as presentation skills.