• Citizen

• Full Time

• Direct Hire

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 7th Jul 2022

JOB VACANCY: Data Scientist

COMPANY: Fincare

EXPERIENCE: 3+

Location: Sarjapur Road, Bangalore

Openings:10

Shift timing :9:30 to 6:30pm

2nd and 4th saturday off

Experience Required : experience in SSRS ,SSIS AND PYTHON

 

Job Description for Data Scientist

Responsibilities

The Data Intelligence & Analytics Analyst must demonstrate critical thinking, analytical and problem-solving abilities, hands-on intelligence or data analysis skills, network analysis acumen, and intellectual curiosity is essential for data science tasks. The candidate must be able to apply these abilities to detect non-obvious risks or develop, test, and champion ideas to increase detection. The candidate should understand data science methods, and visualization techniques to leverage internal and external data to identify and develop ways to systemically detect financial crime risk.

Specifically, the candidate should:

• Utilize features and algorithms to drive down false positives and identify financial crime threats across the firm.

• Demonstrate an ability to apply curiosity and critical thinking in data mining, analytics, and derivative outputs.

• Conduct data mining / query functions across relational or big data databases utilizing various data science tools and methods.

• Supports global/regional internal SMEs; responsible for investigating and researching the Financial Crimes processes and tools identifying efficiency and effectiveness opportunities.

• Supports global team members during feature and algorithm research, design, and implementation as needed.

• Supports tactical and strategic initiatives and projects focused on financial crime detection.

• Understand the regional or global implications and applicability of the recommendations.

• Partner with and assist global resources ensuring the teams working cohesively and effectively to complete the research, analysis, and recommendation process.

• Effectively communicate recommendations to stakeholders.

• Conduct analysis employing available technology to identify patterns, red flags, or typologies of interesting behaviour.

• Synthesize information into knowledge by identifying relevant trends and issues.

• Document and reference key facts uncovered during research and analysis process.

• May support global and regional projects to include development, implementation and/or supply ongoing support for the recommended solution.

• Support analytically necessary business solution documentation (BRD, TSD, etc.).

• May participate in the development, testing, and training of new or enhanced tactical solutions or strategic system applications.

•

2 to 5 Years (Junior) or 8+ Years Senior experience utilizing data science tools and methods

• Intermediate understanding & hands-on across Financial Crime ) AML / Fraud / Cyber / Sanctions / Corruption / Anti-Bribery Risks and Typologies) domain, as well as transaction monitoring processes used to mitigate these risks

• Analytics experience in the financial crime domain is a plus.

• Proven research and analytical skills, business acumen, strategic and creative thinking, project leadership skills and multi-tasking capabilities

• Intermediate SQL skills using tools like Teradata, MS SQL, MySQL, Hadoop

• Intermediate skills using tools like: Python, R, SAS, or similar statistical applications

• Experience with modelling is a plus.

• Ability to analyse large sets of complex data, draw meaningful conclusions, and make recommendations based on analysis

• Ability to handle multiple projects simultaneously in a fast-paced and dynamic financial services environment

• Experience in developing documentation that meets the highest regulatory standards and audit requirements

• Exceptional interpersonal and communication skills, in dealing with people at all levels of the organization both written and verbal.

• Intellectual curiosity, passion for problem-solving, and comfort with ambiguity

• Ability to thrive in a cross-functional environment while juggling multiple responsibilities

• High energy and a desire to work in a results-oriented, fast growth environment

Preferred Skills:

• Passionate and Committed

• Ability to work with virtual users and a global team located in different hubs.

• Track record of delivering projects within tight timelines.

• Financial / banking background is a plus

Education:

• Bachelor’s/University degree or equivalent experience

• Masters in data analytics / data science

BE/BTECH/MCA