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About Company
Our client is a leading mid‐market investment bank with strong practices around M&A, PE, Capital Markets, Institutional Equities, Wealth Management, Insurance Broking, and Portfolio Management Services.
Roles & responsibilities
• Onboarding, Handling, and Managing HNI / Ultra HNI clients.
• Accountable to achieve Annual revenue, AUM & Strategic product targets in the respective geography.
• Aiming for consistent growth of customer wallet share and book size.
• Advising and meeting clients on their business and investment needs based on their risk appetite and performance objective through various structuring solutions.
• Constantly review client portfolios and give a bird’s eye view.
• Ability to work in partnership with Federal Bank and drive leads & AUM.
• Service existing clients with the support of the client servicing team
• Adherence to all regulatory, statutory, and corporate compliance standards
Requirements
• 8+ years of experience in the Wealth Management space
• Must have completed an MBA from a premier business school.
• Should have a sound understanding of Wealth Management Products (MF, Bonds, PMS, AIFs, PE, etc.) & markets.
• English is mandatory and command of the local language would be beneficial.
• Ability to work in tandem with our channel partner and generate leads & business.
• Good communication and presentation skills
Immediate Joiners Preferred
NOTE: Working Shift: 11 am - 8 pm IST (+/- one hour on need basis) Monday to Friday
Responsibilities :
1. Leverage Alteryx to build, maintain, execute and deliver data assets. This entails using data analytics tools (combination of proprietary tools, Excel, and scripting), validating raw data quality, and working with Tableau/ Power BI and other geospatial data visualization applications
2. Analyze large data sets in Alteryx, finding patterns and providing a concise summary
3. Implement, maintain, and troubleshoot analytics solution and derive key insights based on Tableau/ Power BI visualization and data analysis
4. Improve ETL setup and develop components so they can be rapidly deployed and configured
5. Conduct data assessment, perform data quality checks and transform data using SQL and ETL tools
Qualification :
1. 3+ years of relevant and professional work experience with a reputed analytics firm
2. Bachelor's degree in Engineering / Information Technology from a reputed college
3. Must have the knowledge to handle/design/optimize complex ETL using Alteryx
4. Expertise with visualization tools such as Tableau /Power BI to solve a business problem related to data exploration and visualization
5. Good knowledge in handling large amounts of data through SQL, T-SQL or PL-SQL
6. Basic knowledge in Python for data processing will be good to have
7. Very good understanding of data warehousing and data lake concepts
JOB DESCRIPTION - BUSINESS DEVELOPMENT TRAINEE LTD
Greetings from SKOLAR! This is an expression of an interest in participation in the recruitment process at your college for the final year students.
Company Profile: SKOLAR aims to provide the finest project based education to learners, helping them in getting placed in their dream companies by providing them with the right training and path to outperform their interviews. We dedicate our platform to providing you with the very best mentorship on our courses, with an emphasis on Interactive learning style, a great mentorship workaround, and affordability across all the courses thus helping students achieve more holistic education and prepare them for better career opportunities.
Designation : Business Development Trainee
Eligibility : Graduation/Post Graduation (Minimum 50%)
Roles and Responsibilities : ● Work closely with the Sales and Marketing team in assisting the growth of the business by acquiring new business leads.
● Pitch and promote SKOLAR's services to prospective clients
● Career counselling of prospective students and understanding their learning objectives to offer relevant products to them
● Build sales leads through referrals and cold calling to generate sales (monthly target/revenue oriented)
● Collaborate with the Sales and Marketing team to plan and oversee new marketing initiatives ● Set up meetings to prepare and deliver pitches to prospective clients
● Follow up with potential clients
● Work with team members to identify and manage risks
Job Skills & Qualification: ● Graduation in any degree
● Strong communication skills
● Critical and out-of-the-box thinking
● Excellent organisational and leadership skills
● Ability to perform well under pressure in a fast-paced environment ability
● to work in a target driven environment.
Working Days: 6 days work/week (Saturday and Sunday Mandatory working)
Probation Period: 4 Months
PACKAGE During Training/Probation Period: INR 18,000 + up to INR 15,000 (Incentives). (First 10 days Unpaid): Candidates will undergo a 10 Days training period.
Post Training/Probation Period:4 to 6 LPA + 3 LPA(Based on performance during Probation period).
The Benefits and Perks of Becoming a BDA/BDI Incentives are given out on a monthly basis, with top performers receiving bonuses and recognition
Responsibilities:
- Identify relevant data sources - a combination of data sources to make it useful.
- Build the automation of the collection processes.
- Pre-processing of structured and unstructured data.
- Handle large amounts of information to create the input to analytical Models.
- Build predictive models and machine-learning algorithms Innovate Machine-Learning , Deep-Learning algorithms.
- Build Network graphs , NLP , Forecasting Models Building data pipelines for end-to-end solutions.
- Propose solutions and strategies to business challenges. Collaborate with product development teams and communicate with the Senior Leadership teams.
- Participate in Problem solving sessions
Requirements:
- Bachelor's degree in a highly quantitative field (e.g. Computer Science , Engineering , Physics , Math , Operations Research , etc) or equivalent experience.
- Extensive machine learning and algorithmic background with a deep level understanding of at least one of the following areas: supervised and unsupervised learning methods , reinforcement learning , deep learning , Bayesian inference , Network graphs , Natural Language Processing Analytical mind and business acumen
- Strong math skills (e.g. statistics , algebra)
- Problem-solving aptitude Excellent communication skills with ability to communicate technical information.
- Fluency with at least one data science/analytics programming language (e.g. Python , R , Julia).
- Start-up experience is a plus Ideally 5-8 years of advanced analytics experience in startups/marquee com
Required Skills:
Machine Learning, Deep Learning, Algorithms, Computer Science, Engineering, Operations Research, Math Skills, Communication Skills, SAAS Product, IT Services, Artificial Intelligence, ERP, Product Management, Automation, Analytical Models, Predictive Models, NLP, Forecasting Models, Product Development, Leadership, Problem Solving, Unsupervised Learning, Reinforcement Learning, Natural Language Processing, Algebra, Data Science, Programming Language, Python, Julia
Exp:1-2.9 yrs
Notice period: Immediate to 15days
Mode of interview: 1 written test + 1 Video technical interview
Job description:
- Strong fundamentals in functional testing(manual)
- Experience in any tools such : Combo 1 Selenium or Cucumber or Appium, Mobile app testing ; API
- Hands-on experience in Java - Mandatory
- Effective interpersonal skills.
Note : We are looking for the 1-2.9 years of experience with automation ( selenium ) + API Automation ( postman, Soap , rest api or any ) + core java ( coding in java )
Be responsible for the design, development, quality, and delivery of initiatives for the team
Recruit great engineers, in collaboration with Velocity’s recruiting team
Define the technology roadmap for the team and liaison with the business teams and product managers to shape the business OKR planning
Oversee agile delivery processes and adoption of milestone-based execution; proactively lead stakeholders communications related to deliverables and risks
Research and identify emerging technologies to define long-term engineering initiatives
Lead and mentor your team, taking them to the next level of technical expertise and inspiring a team culture of ownership, accountability, data-based decisions, continuous improvement, and blameless retrospectives
Work closely with Engineering Leaders, Managers; Product Management, Business Development and Operation teams, and enable them by providing
You set up best practices for development and champion their adoption and at the same time Architect & design technically robust, flexible and scalable solutions.
Perform regular performance evaluation and share and seek feedback.
What to bring
At least 5 years of experience in software development and delivery, with in-depth knowledge of software architectures; must have at least 2 years of experience in leading small and mid-sized development teams for the technology ( Golang, Python)
Great project management skills to lead and juggle multi-engineer projects and deliver high-quality projects on time
BTech, MTech, or PhD in Computer Science or a related technical discipline (or equivalent) from Tier 1 Institutions like IIT, NIT, BIT
Past experience with startups and fast paced environments is an added advantage
Excellent leadership skills to mentor the engineers under you.
Track record of leading productive engineering teams
You lead by example, by setting the right context, and by helping teammates do their best work
Deep understanding of technologies and architecture in a highly scalable and available set-up.
Good communication skills in verbal and written English.
Should be preferred from only product company background
KaiOS is a mobile operating system for smart feature phones that stormed the scene to become the 3rd largest mobile OS globally (2nd in India ahead of iOS). We are on 100M+ devices in 100+ countries. We recently closed a Series B round with Cathay Innovation, Google and TCL.
What we are looking for:
- BE/B-Tech in Computer Science or related discipline
- 3+ years of overall commercial DevOps / infrastructure experience, cross-functional delivery-focused agile environment; previous experience as a software engineer and ability to see into and reason about the internals of an application a major plus
- Extensive experience designing, delivering and operating highly scalable resilient mission-critical backend services serving millions of users; experience operating and evolving multi-regional services a major plus
- Strong engineering skills; proficiency in programming languages
- Experience in Infrastructure-as-code tools, for example Terraform, CloudFormation
- Proven ability to execute on a technical and product roadmap
- Extensive experience with iterative development and delivery
- Extensive experience with observability for operating robust distributed systems – instrumentation, log shipping, alerting, etc.
- Extensive experience with test and deployment automation, CI / CD
- Extensive experience with infrastructure-as-code and tooling, such as Terraform
- Extensive experience with AWS, including services such as ECS, Lambda, DynamoDB, Kinesis, EMR, Redshift, Elasticsearch, RDS, CloudWatch, CloudFront, IAM, etc.
- Strong knowledge of backend and web technology; infrastructure experience with at-scale modern data technology a major plus
- Deep expertise in server-side security concerns and best practices
- Fluency with at least one programming language. We mainly use Golang, Python and JavaScript so far
- Outstanding analytical thinking, problem solving skills and attention to detail
- Excellent verbal and written communication skills
Requirements
Designation: DevOps Engineer
Location: Bangalore OR Hongkong
Experience: 4 to 7 Years
Notice period: 30 days or Less
Well-established, Canadian company is looking for a representative in five different locations, as our business is growing.
The person will be responsible for reaching out the immigration agencies to offer commission-based services, such as Travel, Visitor to Canada Insurance, financial services and many more.
Preferred qualifications:
Intermediate English
Experience in sales
Financial services knowledge
Critical thinking
Self-starting ability
KEY BENEFITS:
- Highly flexible, Work around your own schedule.
- Work from your laptop, from home or from the office. It is up to you!
We offer variable income—strong pay for performance incentive package.


